Explore 4 amazing books on AI, LLMs, Gen AI by @AltoValentina v/ @PacktDataML AI Agents in Practice: https://
amzn.to/4p98LYl Practical Generative AI with ChatGPT: https://
amzn.to/4oXSXHI Building LLM-Powered Applications: https://
amzn.to/4iNimjQ Modern Gen AI with ChatGPT
RESEARCH
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4 Essential Books on AI LLMs and Generative Intelligence
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Deep Learning Math Workbook: 300 Puzzles for Mastery
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From @PacktDataML — hands-on Mathematics, Linear Algebra, and Machine Learning … "Deep Learning Math Workbook", with 300 puzzles — by @ProfTomYeh Check it out and get it here: https://
amzn.to/3KuhKnx -
Time Series Forecasting with Machine Learning and Deep Learning
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Modern Time Series Forecasting with Python — Industry-ready Machine Learning and Deep Learning time series analysis with PyTorch and PANDAS: https://
amzn.to/4eP5yYt v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Apply ML and global models to improve forecasting accuracy through -
Master Statistics and Data Science with This Comprehensive Guidebook
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Get this incredible 448-page guidebook "The Art of Statistics: Learning from Data" at https://
amzn.to/4ts62LL (Over 3700 4- and 5-star reviews) #DataScience #DataScientist -
Algorithmic Trading with Python: Modern Quant Methods Guide
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The book “Algorithmic Trading with Python” discusses modern quant trading methods in Python with a heavy focus on PANDAS, Numpy, and scikit-learn. Get it at: https://
amzn.to/3uvYlKk +
Get free code from the book here: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
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DRIFT Framework: Dual-Model Approach for Long Document Processing
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Tired of LLMs losing context on super long documents? Researchers from Shanghai AI Lab, Fudan, & Tongji Universities unveil DRIFT! Their new framework uses a clever dual-model approach: one AI finds and compresses relevant facts into "implicit fact tokens" — query-specific
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Snorkel AI at AI Engineer Europe Conference London April 2026
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London 🇬🇧 We’re heading to @aiDotEngineer Europe (April 8–10). @vincentsunnchen will be presenting on the art and science of benchmarking agents, including learnings from Open Benchmark Grants. Find us at Booth G9: snorkel.ai/ai-engineer-londo…
→ View original post on X — @snorkelai, 2026-03-27 19:47 UTC
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AI advancement: new models on same hardware produce impressive results
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One way to see the advancement of AI is to see how much further you can get with new models on the same hardware
— Ethan Mollick (@emollick) 27 mars 2026
Here is "an otter using a laptop on an airplane" generated on my home computer using the open weights Wan 2.1, first try. We have come pretty far in 18 months. https://t.co/loxNM2PRyb pic.twitter.com/c4iz9UcmTBOne way to see the advancement of AI is to see how much further you can get with new models on the same hardware Here is "an otter using a laptop on an airplane" generated on my home computer using the open weights Wan 2.1, first try. We have come pretty far in 18 months.
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AI-Generated Music Succeeds Where Books and Movies Fail
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Here’s my very weird observation that shouldn’t make sense but is correct: this tweet is right about AI books and movies. But AI generated music has very real traction and good ones are listened to on repeat a lot, the same user behavior as normal hit music. Matteo Pellegrini (@matteopelleg) Nobody wants to read AI-generated books, watch an AI-generated movie or listen to an AI-generated song. — https://nitter.net/matteopelleg/status/2037546434183180590#m
→ View original post on X — @waitin4agi_, 2026-03-27 19:43 UTC
