And there are many really good AI components at Google: they have top-flight image, music, & video generation, and good UIs for each of them. Google AI studio is probably the best playground for AI experimentation. NotebookLM still has no equivalent product from other labs, etc.
RESEARCH
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AI Engineering: Building Applications with Foundation Models
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AI Engineering — Building Applications with Foundation Models: http://
amzn.to/4aiSv1O by @chipro —
#ML #MachineLearning #DataScience #DataScientist
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𝓣𝓸𝓹𝓲𝓬𝓼:
Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the -
Concrete Mathematics: Essential Foundation for Computer Science
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Concrete [CONtinuous and disCRETE] Mathematics — A Foundation for Computer Science (and for serious users of mathematics in virtually every discipline): http://
amzn.to/4oGfeJn [672 pages] Topics covered: Evaluating Horrendous Sums Recurrences Integer functions -
Introduction to Probability, Statistics, and Random Processes
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Introduction to Probability, Statistics, and Random Processes: http://
amzn.to/3UkLHXZ
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#DataScience #Mathematics #DataScientist -
Understanding Uncertainty: Probability and Statistics Fundamentals
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What are the Chances of That? How to Think About Uncertainty: http://
amzn.to/4q7atJi by @itabn_andrew #Probability #Statistics #Mathematics -
Mathematics of Machine Learning Book Review and Guide
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -
Context Engineering for Multi-Agent Systems: Building Transparent Reasoning Architectures
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -
Practical Guide to Reinforcement Learning from Human Feedback
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Graph Machine Learning Advancements with PyTorch Geometric Techniques
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Graph Machine Learning — Latest advancements in Graph Data to build robust Machine Learning algorithms (2nd Edition) — at http://
amzn.to/45Y3LyI v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and Deep -
Intel Joins Terafab Project With Space Hardware Breakthrough
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Remember, @Intel officially joined @ElonMusk
's Terafab project this month. At the same time it unveiled an incredible breakthrough on how to build hardware for space. A fundamental bottleneck to deploying compute in orbit is silicon’s physical vulnerability. In high-radiation