"The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems" Stay Ahead. Become Irreplaceable. …with this book: http://
amzn.to/4jOVbXG The AI Engineering Bible takes a full-stack engineering perspective—helping you
MACHINE LEARNING
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The AI Engineering Bible: Complete Guide to Production Ready Systems
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AI Systems Performance Engineering with GPUs CUDA PyTorch
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HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
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New Book: Deep Learning Math Workbook with 300 Exercises
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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:
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Matrix Algebra: Practical Essential Math for Real World Applications
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My review: http://
amzn.to/3MxQINb
Matrix algebra is much more than pure math. It is practical, applied, essential math for the real world. Understanding the many properties, proofs, operations, rules, benefits, and uses of matrices can be a real challenge. The comprehensive -
Matrix Multiplication Workbook: Hands-On Learning Through Fill-in-the-Blank Puzzles
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New release — "Matrix Multiplication Workbook: Fill-in-the-Blank Puzzles to Build Real Intuition by Hand" — at http://
amzn.to/4kUlVXt by @ProfTomYeh via @PacktDataML 𝙆𝙚𝙮 𝙁𝙚𝙖𝙩𝙪𝙧𝙚𝙨:
●You work by hand, with real numbers
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Essential Probability and Statistics for Data Science and Machine Learning
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Probability and Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: http://
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Databricks Data Engineering Books from Packt Publishing
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Databricks Data Engineering books from @PacktDataML 1–Cookbook: http://
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amzn.to/3DbYgQF 3–Machine Learning: http://
amzn.to/3XH24ld 4–Certified Developer for Apache Spark with Python: http://
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4th Edition AI Textbook Now Covers Deep Learning and Advanced Topics
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UPDATED 4th edition of this classic AI textbook [1166 pages] now covers Deep Learning, Transfer Learning, multi-agent systems, robotics, NLProc, causality & much more! “Artificial Intelligence — A Modern Approach” See the book at http://
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Machine Learning Refined: Foundations, Algorithms, and Applications
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#MachineLearning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): https://
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#DataScience #ML #AI #Mathematics #DataScientist -
Latent Reasoning for Autonomous Driving Real-Time Performance
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Latent reasoning for autonomous driving makes a lot of sense, text-based chain of thought is way too slow for real-time decisions. Super interesting direction!