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#datascientist

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DataScienceJobs<p>💼 Hitachi Solutions, Ltd. is hiring a Senior AI Consultant<br>Location: 🇫🇷 Paris, France</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> #</p><p><a href="https://datasciencejobs.com/jobs/senior-ai-consultant-hitachi-solutions-ltd-france-3/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/senio</span><span class="invisible">r-ai-consultant-hitachi-solutions-ltd-france-3/</span></a></p>
Sarah Lea<p>Want to truly understand how AI learns to make better decisions?<br>:blobcoffee: Start with the concept of exploration vs. exploitation and dive into one of the most basic, but super important, ideas in Reinforcement Learning: Multi-Armed Bandits. <br>:blobcoffee: It's a simpler start to understand the basics behind. And it might change how you see AI.<br>→<a href="https://towardsdatascience.com/simple-guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/simple-</span><span class="invisible">guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/</span></a></p><p><a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/reinforcementlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcementlearning</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://techhub.social/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> <a href="https://techhub.social/tags/decision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>decision</span></a></p>
TCCI – Learn Coding & IT Skill<p>Become a job-ready Data Scientist! TCCI offers an exclusive Data Science course in Bopal, Ahmedabad, with practical, placement-focused training.</p><p>👉 <a href="https://tccicomputercoaching.wordpress.com/2025/07/30/job-ready-data-scientist-our-exclusive-data-science-course-in-ahmedabad/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tccicomputercoaching.wordpress</span><span class="invisible">.com/2025/07/30/job-ready-data-scientist-our-exclusive-data-science-course-in-ahmedabad/</span></a></p><p><a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/JobReady" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobReady</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/Ahmedabad" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ahmedabad</span></a> <a href="https://mastodon.social/tags/Bopal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bopal</span></a> <a href="https://mastodon.social/tags/TCCIIstitute" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TCCIIstitute</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/CareerGoals" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CareerGoals</span></a></p>
Sarah Lea<p>Why normalize databases?<br>Yesterday, my tutoring student asked me why databases need to be normalized at all. She said: “Wouldn’t it be easier to just have one big table with all the information?”</p><p>It’s a common first question when learning about relational databases.<br>At first, one big table (e.g. customer name, order date, product name, price) seems easiest.</p><p>I told her:<br>:blobcoffee: Because that quickly leads to data redundancy, anomalies, and integrity issues when inserting, updating, or deleting records.<br>:blobcoffee: Normalization means structuring data into separate, related tables, so that each fact is stored only once. This reduces redundancy &amp; preserves consistency.</p><p><a href="https://techhub.social/tags/databases" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>databases</span></a> <a href="https://techhub.social/tags/dataengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataengineering</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a> <a href="https://techhub.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a> <a href="https://techhub.social/tags/dataanalyst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalyst</span></a> <a href="https://techhub.social/tags/sql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sql</span></a> <a href="https://techhub.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a></p>
Sarah Lea<p>Can you remember learning to walk as a baby? You didn’t read a manual. Neither does an AI agent.</p><p>Reinforcement Learning (RL) isn’t about knowing the correct answer.<br>It’s about learning through trial and error, by interacting with an environment &amp; receiving feedback.</p><p>That’s how AlphaGo defeated a world champion:<br>It first learned from expert games. Then it played against itself, millions of times, using RL to get better with each game. That’s how it mastered Go.</p><p><a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>google</span></a> <a href="https://techhub.social/tags/reinforcementlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcementlearning</span></a> <a href="https://techhub.social/tags/alphago" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>alphago</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a></p>
Sarah Lea<p>Want to really understand how RAG, vector search &amp; chunking work?</p><p>Then stop reading theory and build your own chatbot.</p><p>This guide shows you how to create a local PDF chatbot using: </p><p>☕ LangChain</p><p>☕ FAISS (vector DB)</p><p>☕ Mistral via Ollama</p><p>☕ Python &amp; Streamlit</p><p>Step-by-step, from environment setup to deployment. Ideal for learning how Retrieval-Augmented Generation works in practice.</p><p>👉 <a href="https://medium.com/data-science-collective/rag-in-action-build-your-own-local-pdf-chatbot-as-a-beginner-96c2833869ff" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/data-science-collec</span><span class="invisible">tive/rag-in-action-build-your-own-local-pdf-chatbot-as-a-beginner-96c2833869ff</span></a></p><p>Comment “WANT” if you need the friends link to the article, as you don’t have paid Medium.</p><p><a href="https://techhub.social/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rag</span></a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://techhub.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://techhub.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatbot</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/vector" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vector</span></a> <a href="https://techhub.social/tags/langchain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>langchain</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://techhub.social/tags/streamlit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>streamlit</span></a></p>
DataScienceJobs<p>💼 Netflix is hiring a Data Engineering Manager - Member Innovation<br>Location: 🇺🇸 Remote, United States<br>💰 Salary: $360000 - $920000</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> <a href="https://mastodon.social/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a> <a href="https://mastodon.social/tags/Netflix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Netflix</span></a></p><p><a href="https://datasciencejobs.com/jobs/data-engineering-manager-netflix-united-states-23/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/data-</span><span class="invisible">engineering-manager-netflix-united-states-23/</span></a></p>
DataScienceJobs<p>🏢 NVIDIA is hiring a Senior AI Deep Learning Engineer<br>Location: 🇺🇸 Redmond, Washington, United States<br>💲 Salary: $184000 - $356500</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> <a href="https://mastodon.social/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NVIDIA</span></a></p><p><a href="https://datasciencejobs.com/jobs/senior-ai-deep-learning-engineer-nvidia-united-states-39/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/senio</span><span class="invisible">r-ai-deep-learning-engineer-nvidia-united-states-39/</span></a></p>
Sarah Lea<p>🍕 Imagine trying two pizzerias and always going back to the one that seemed better. Sounds simple? Maybe.</p><p>But what if there’s another one in the city that’s even better – and you never tried it?</p><p>That’s what the greedy strategy does. It sticks to what worked best so far.</p><p>In Multi-Armed Bandits, a classic problem that helps us understand Reinforcement Learning, there are three common strategies to deal with this dilemma:<br>:blobcoffee: Greedy<br>:blobcoffee: ε-Greedy<br>:blobcoffee: Optimistic Initial Values</p><p><a href="https://towardsdatascience.com/simple-guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/simple-</span><span class="invisible">guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/</span></a></p><p><a href="https://techhub.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/reinforcementlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcementlearning</span></a> <a href="https://techhub.social/tags/agents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agents</span></a> <a href="https://techhub.social/tags/agenticai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agenticai</span></a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a></p>
Sarah Lea<p>Reinforcement Learning starts with a simple but powerful idea:<br>Trial &amp; Error. Learning what works.</p><p>The Multi-Armed Bandit problem is a first step into this world.<br>It's not just about slot machines. Iit's about how AI (and humans) learn to choose.</p><p><a href="https://towardsdatascience.com/simple-guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/simple-</span><span class="invisible">guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/</span></a></p><p><a href="https://techhub.social/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReinforcementLearning</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveScience</span></a> <a href="https://techhub.social/tags/Psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychology</span></a> <a href="https://techhub.social/tags/Behavior" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Behavior</span></a> <a href="https://techhub.social/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DecisionMaking</span></a> <a href="https://techhub.social/tags/Bandits" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bandits</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://techhub.social/tags/Datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a></p>
Thomas Barrio<p>Techno-divination : l’algorithme comme nouveau&nbsp;sacré</p><p>La <a href="https://mastodon.social/tags/divination" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>divination</span></a> du <a href="https://mastodon.social/tags/pouvoir" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pouvoir</span></a> ne passe plus par les <a href="https://mastodon.social/tags/oracles" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>oracles</span></a>, mais par les <a href="https://mastodon.social/tags/algorithmes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>algorithmes</span></a>. <a href="https://mastodon.social/tags/Gouverner" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gouverner</span></a>, <a href="https://mastodon.social/tags/d%C3%A9cider" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>décider</span></a>, <a href="https://mastodon.social/tags/pr%C3%A9voir" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>prévoir</span></a> : l’<a href="https://mastodon.social/tags/ing%C3%A9nieur" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ingénieur</span></a>, le <a href="https://mastodon.social/tags/dataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataScientist</span></a>, l’<a href="https://mastodon.social/tags/IA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IA</span></a> endossent le rôle du <a href="https://mastodon.social/tags/devin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>devin</span></a>, révélant un <a href="https://mastodon.social/tags/futur" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>futur</span></a> désormais produit par la <a href="https://mastodon.social/tags/technique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technique</span></a>. La <a href="https://mastodon.social/tags/technoDivination" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technoDivination</span></a>, clé de voûte du <a href="https://mastodon.social/tags/pouvoirAlgorithmique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pouvoirAlgorithmique</span></a> ? <a href="https://mastodon.social/tags/Gouvernementalit%C3%A9" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gouvernementalité</span></a> <a href="https://mastodon.social/tags/Pouvoir" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pouvoir</span></a> <a href="https://mastodon.social/tags/Algorithmique" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Algorithmique</span></a> <a href="https://mastodon.social/tags/Philosophie" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophie</span></a> <a href="https://mastodon.social/tags/postMarxisme" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>postMarxisme</span></a> <a href="https://mastodon.social/tags/postPolis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>postPolis</span></a> La divination fut longtemps le…</p><p><a href="https://homohortus31.wordpress.com/2025/07/16/techno-divination-lalgorithme-comme-nouveau-sacre/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">homohortus31.wordpress.com/202</span><span class="invisible">5/07/16/techno-divination-lalgorithme-comme-nouveau-sacre/</span></a></p>
Sarah Lea<p>Do you always go to the same café? Or do you try something new?</p><p>That’s the exploration vs. exploitation dilemma: Decision under uncertainty.</p><p>Multi-armed bandits model exactly that.</p><p>And this dilemma shows up everywhere: Recommender systems, A/B tests, online ads, even in human psychology.</p><p>Nobel Prize winner Daniel Kahneman called this one of the most fundamental cognitive patterns.</p><p>🎰 I explain what it is, why it matters, and how AI systems handle it. </p><p>:blobcoffee: Full article here: <a href="https://towardsdatascience.com/simple-guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/simple-</span><span class="invisible">guide-to-multi-armed-bandits-a-key-concept-before-reinforcement-learning/</span></a></p><p><a href="https://techhub.social/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReinforcementLearning</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveScience</span></a> <a href="https://techhub.social/tags/Kahneman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kahneman</span></a> <a href="https://techhub.social/tags/Psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychology</span></a> <a href="https://techhub.social/tags/Behavior" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Behavior</span></a> <a href="https://techhub.social/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DecisionMaking</span></a> <a href="https://techhub.social/tags/Bandits" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bandits</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://techhub.social/tags/Datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a></p>
DataScienceJobs<p>💼 Philips is hiring a Data Scientist - Computer Vision<br>Location: 🇮🇳 Bangalore, India</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> # <a href="https://mastodon.social/tags/Philips" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philips</span></a></p><p><a href="https://datasciencejobs.com/jobs/data-scientist-philips-india-20/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/data-</span><span class="invisible">scientist-philips-india-20/</span></a></p>
Sarah Lea<p>What I learned from an interview with a Harvard postdoc in Biomedicine &amp; AI:<br>It’s not always about having the right answer.<br>It’s about asking the questions no one else dares to ask — <br>even if that requires a lot of patience.</p><p><a href="https://techhub.social/tags/career" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>career</span></a> <a href="https://techhub.social/tags/careergrowth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>careergrowth</span></a> <a href="https://techhub.social/tags/careeradvice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>careeradvice</span></a><br><a href="https://techhub.social/tags/scientists" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scientists</span></a> <a href="https://techhub.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://techhub.social/tags/researcher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>researcher</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/computerscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computerscience</span></a> <a href="https://techhub.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a> <a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/harvard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>harvard</span></a> <a href="https://techhub.social/tags/student" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>student</span></a></p><p>:blobcoffee: <a href="https://medium.com/ai-advances/ai-cancer-cells-a-masters-student-s-journey-5-lessons-from-a-harvard-postdoc-ed9fc50b69d9" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/ai-advances/ai-canc</span><span class="invisible">er-cells-a-masters-student-s-journey-5-lessons-from-a-harvard-postdoc-ed9fc50b69d9</span></a></p>
Sarah Lea<p>I asked a Harvard postdoc a bunch of questions. These are the key takeaways:<br>:blobcoffee: The fundamentals still matters: math, statistics, coding &amp; logic.<br>:blobcoffee: We need critical thinking &amp; abstract reasoning.<br>:blobcoffee: Combining two disciplines leads to exciting projects and connections we couldn’t even imagine before.<br>:blobcoffee: A stay abroud is often an experience that changes more than our CV - they leave a mark in our mindset.<br>:blobcoffee: Two days in a postdoc's life rarely look exactly the same: Writing papers, training AI models, giving talks at conferences or running project meetings.<br>:blobcoffee: Success in research is more like a marathon with long phases without immediate feedback or visible success</p><p>-&gt; Grab the full article: <a href="https://medium.com/ai-advances/ai-cancer-cells-a-masters-student-s-journey-5-lessons-from-a-harvard-postdoc-ed9fc50b69d9" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/ai-advances/ai-canc</span><span class="invisible">er-cells-a-masters-student-s-journey-5-lessons-from-a-harvard-postdoc-ed9fc50b69d9</span></a></p><p>Write in the comments "friend-link" if you don't have the paid Medium version.</p><p><a href="https://techhub.social/tags/career" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>career</span></a> <a href="https://techhub.social/tags/careergrowth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>careergrowth</span></a> <a href="https://techhub.social/tags/careeradvice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>careeradvice</span></a><br><a href="https://techhub.social/tags/scientists" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scientists</span></a> <a href="https://techhub.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://techhub.social/tags/researcher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>researcher</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/computerscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computerscience</span></a> <a href="https://techhub.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a> <a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/harvard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>harvard</span></a> <a href="https://techhub.social/tags/student" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>student</span></a></p>
DataScienceJobs<p>🏢 Study.com is hiring a Data Scientist<br>Location: 🇲🇽 Mexico</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> # <a href="https://mastodon.social/tags/Study" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Study</span></a>.com</p><p><a href="https://datasciencejobs.com/jobs/data-scientist-study-com-mexico-remote/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/data-</span><span class="invisible">scientist-study-com-mexico-remote/</span></a></p>
DataScienceJobs<p>🏢 CoverMyMeds is hiring a Specialist, Data Engineering - Transactional Data<br>Location: 🇺🇸 Columbus, Ohio, United States<br>💲 Salary: $105500 - $175900</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> <a href="https://mastodon.social/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a></p><p><a href="https://datasciencejobs.com/jobs/specialist-data-engineering-covermymeds-united-states-3/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/speci</span><span class="invisible">alist-data-engineering-covermymeds-united-states-3/</span></a></p>
DataScienceJobs<p>💼 HP is hiring an AI Lab - Junior Machine Learning Engineer<br>Location: 🇪🇸 Sant Cugat del Valles, Catalonia, Spain</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> # <a href="https://mastodon.social/tags/HP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HP</span></a></p><p><a href="https://datasciencejobs.com/jobs/junior-machine-learning-engineer-hp-spain-14/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/junio</span><span class="invisible">r-machine-learning-engineer-hp-spain-14/</span></a></p>
DataScienceJobs<p>🏢 Barclays is hiring a Senior Data Scientist<br>Location: 🇬🇧 Knutsford, England, United Kingdom</p><p><a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScientist</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/JobSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSearch</span></a> <a href="https://mastodon.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a> <a href="https://mastodon.social/tags/HashyJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HashyJobs</span></a> <a href="https://mastodon.social/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UK</span></a> <a href="https://mastodon.social/tags/Barclays" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Barclays</span></a></p><p><a href="https://datasciencejobs.com/jobs/senior-data-scientist-barclays-united-kingdom-19/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">datasciencejobs.com/jobs/senio</span><span class="invisible">r-data-scientist-barclays-united-kingdom-19/</span></a></p>
Sarah Lea<p>Reinforcement Learning doesn’t tell you what’s right.<br>It only tells you how good your choice was.<br>No feedback on what to do. Only on how it went.</p><p>:blobcoffee: Example: A multi-armed bandit (like a slot machine with several levers). You don't know which lever is the best - you can only find out by trying it out. Exploring means giving up a known reward (from exploitation) — in hopes of finding a better one.</p><p>This balance between exploration and exploitation is the central dilemma in reinforcement learning. </p><p>:blobcoffee: A simple strategy is ε-greedy:<br>→ In 90% of cases you take the best known action<br>→ In 10% of cases, you try a different one by chance</p><p>In simulations, ε-greedy methods perform better in the long term than pure greed (always take the supposedly best) - because they master the “explore-exploit trade-off”.</p><p><a href="https://techhub.social/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReinforcementLearning</span></a> <a href="https://techhub.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://techhub.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://techhub.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://techhub.social/tags/Datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Datascientist</span></a></p>
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