"Mastering AI System Design: Architect, Build and Deploy AI Systems Using 10 Domain Driven Blueprints and Interview Strategies" at http://
amzn.to/3NFNOWF ๐๐๐๐ก๐ ๐ค๐ ๐พ๐ค๐ฃ๐ฉ๐๐ฃ๐ฉ๐จ:
1. Introduction to AI System Design
2. Crafting Intelligent Systems Using Prompt
@kirkdborne
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AI System Design Guide Uses Ten Domain-Specific Blueprints
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Graph Machine Learning Book Uses PyTorch Geometric and DGL
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2nd Edition at http://
amzn.to/45Y3LyI Graph Machine Learning โ the latest advancements in graph data to build robust machine learning algorithms. ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library -
A Guide to Building Reasoning Models From Scratch
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Build a Reasoning Model (From Scratch): http://
amzn.to/3R4UMqo by @rasbt Amazon summary: The book is especially useful because it implements the core methods from scratch rather than treating them as black-box library calls. Readers see how self-consistency, -
XGBoost Guide Covers Regression, Time Series and Model Deployment
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis โ Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML โ
My review: XGBoost is definitely the focal point and central contribution of this book, along with all -
Machine Learning Resource Covers Data Cleaning and Exploration
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Data Cleaning and Exploration with Machine Learning: http://
amzn.to/3SYyj9Z ++
Visit the book's GitHub code repository: https://
github.com/PacktPublishin
g/Data-Cleaning-and-Exploration-with-Machine-Learning
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Data Without Labels Introduces Practical Unsupervised Machine Learning
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Data Without Labels โ Models and Algorithms for Practical Unsupervised Machine Learning: http://
amzn.to/4q5bbYz ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and -
Applied Causal Inference Textbook Covers Machine Learning and AI
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[Download 496-page PDF eBook] Applied Causal Inference Powered by Machine Learning and AI: http://
arxiv.org/abs/2403.02467
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AI Performance Engineering Book Covers GPU Training and Inference Optimization
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HOT! Over 1000 pages! "AI Systems Performance Engineering โ Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ via @OReillyMedia -
Bayesian Data Analysis Resources Include a Free Textbook and Python Guide
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Bayesian Data Analysis [download 677-page PDF Statistics eBook] at https://
sites.stat.columbia.edu/gelman/book/
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Do it in Pythonusing this Practical Guide to Probabilistic Modeling: http://
amzn.to/3w3tq9g โโโโโ
#DataScience #DataScientist #MachineLearning #ML #Inference -
A Guide to Building LLM-Powered Web Apps
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Build AI-Enhanced Web Apps: http://
amzn.to/4bgux6d
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Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web