TRANSFER LEARNING book [390 pages]: https://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to
@kirkdborne
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Transfer Learning book 390 pages Amazon summary
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Reinforcement Learning foundational book 2nd edition announcement
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): https://
amzn.to/3UtbeAa
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#AI #MachineLearning #ML #Mathematics #Gamification -
New release: A Practical Guide to RLHF from Packt
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New release from @PacktDataML at https://
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 -
Python Machine Learning By Example book with GitHub and 518 pages
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Python Machine Learning By Example: http://
amzn.to/3MczBwk v/ @PacktDataML +
GitHub: https://
github.com/PacktPublishin
g/Python-Machine-Learning-By-Example-Third-Edition
… 518-pages! What you will learn: Machine learning best practices throughout data preparation and model development Build and improve image classifiers using -
Machine Learning Solutions Architect Handbook: ML Lifecycle, MLOps, Generative AI
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Machine Learning Solutions Architect Handbook — Practical Strategies and Best Practices in the ML Lifecycle, System Design, MLOps, and Generative AI: http://
amzn.to/4bx8t6b v/ @PacktDataML -
Data Without Labels: Unsupervised Machine Learning Book Overview
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Data Without Labels — Models and Algorithms for Practical Unsupervised Machine Learning: http://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and -
3rd Edition of Python Feature Engineering Cookbook for ML
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3rd Edition! "Python Feature Engineering Cookbook", complete guidebook with recipes for crafting powerful features for Machine Learning models: http://
amzn.to/4rDWUT9 by @Soledad_Galli —————
#AI #ML #DataScience #DataScientist -
Scikit-learn Cookbook 3rd Edition: 80+ Recipes, Preprocessing, Dimensionality
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Scikit-learn Cookbook — 80+ recipes for Machine Learning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality -
AI Programming with Python: From Zero to Hero book overview
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AI Programming with Python — From Zero to Hero: http://
amzn.to/43TkNea Thorough introductions to AI, Machine Learning, and Deep Learning Hands-on introductions to Python Discussions of supervised and unsupervised learning Explorations of classification and regression -
XGBoost for Regression, Predictive Modeling, and Time Series Analysis
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML