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Hi Reader, The Python 14-Day Challenge starts tomorrow! Hope to see you there π€ π Tuesday Tip: My top 5 sources for keeping up with AII'll state the obvious: AI is moving incredibly FAST π¨ Here are the best sources I follow to keep up with the most important developments in Artificial Intelligence: βThe Neuron (daily newsletter)My top recommendation for a general audience. Itβs fun, informative, and well-written. It includes links to the latest AI news and tools, but the real goldmine is their article at the top of each newsletter. βThe Batch (weekly newsletter)Four deep, thoughtful analyses of the most important developments in AI this week. Includes commentary from legendary AI researcher Andrew Ng. βSimon Willisonβs blog (also available as a weekly newsletter)Simon is an independent AI researcher and co-creator of the Django web framework. Heβs constantly experimenting with the latest AI models, and his analyses are excellent. Start by reading this post: Things we learned about LLMs in 2024. βOne Useful Thing (newsletter by Ethan Mollick)Ethan is a Professor at the University of Pennsylvania. He provides practical advice on the use of AI, as well as analyses of where AI is going. Heβs also my favorite source of AI insights on Bluesky. βAhead of AI (newsletter by Sebastian Raschka)Sebastian is an AI researcher and the author of Build a LLM from Scratch. His newsletters are useful to those who already know a lot about LLMs and want to keep up with the latest research. Start by reading this issue: Noteworthy AI Research Papers of 2024 (Part One). Honorable mentions:βUnderstanding AI by Timothy B. Lee: I love his writing on AI and self-driving vehicles, but many of his articles are limited to paid subscribers (such as myself). LLMs explained with a minimum of math and jargon is his most well-known article. βAm I Stronger Yet? by Steve Newman: I just discovered this newsletter, but his latest article, Are We on the Bring of AGI?, was fantastic. What did I miss? Please click reply and let me know! π See you next Tuesday!If you enjoyed this newsletter, please share it with a friend! π - Kevin P.S. Increasingly large food. Increasingly small food. Did someone AWESOME forward you this email? Sign up here to receive weekly Artificial Intelligence tips! |
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Hi Reader, I'm thrilled to announce that my new book, Master Machine Learning with scikit-learn, is now on sale! Buy from Amazon I poured my heart and soul into making this the highest quality and most practical Machine Learning book available. Publishing this book is a dream come true, and I'd be grateful if you'd consider picking up a copy! π Option 1: Get the paperback from Amazon ($19) Although most technical books of this size (300+ pages) tend to sell for at least $39, I've priced the...
Hi Reader, A few months ago, I announced that my new book, Master Machine Learning with scikit-learn, would be published in December. Since then, my personal life has undergone some dramatic changes π₯΄ During the transition, it has been challenging to focus on anything other than bare life essentials π½οΈ π πΏ Thankfully, my life has begun to steady (yay!), and so in the past few weeks I've been able to wrap up some key pieces of the project! β I'm thrilled to hold in my hands the FINAL proof...
Hi Reader, happy new year! π I wanted to share with you the three most important articles I found that look back at AI progress in 2025 and look forward at what is coming in 2026 and beyond. Iβve extracted the key points from each article, but if you have the time and interest, Iβd encourage you to read the full articles! π The Shape of AI: Jaggedness, Bottlenecks and Salients By Ethan Mollick βJaggednessβ describes the uneven abilities of AI: Itβs superhuman in some areas and far below human...