Deep Learning with C++ — Design and deploy neural networks using CUDA for high-performance AI in C++ Get the book at https://
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A C++ Deep Learning Guide Deploys Neural Networks With CUDA
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A Guide Builds and Fine-Tunes Small Language Models
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"How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers" Available at https://
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Python AI Guide Covers Supervised Learning, Classification, and Regression
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AI Programming with Python — From Zero to Hero: https://
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Machine Learning Refined Includes One Hundred Python Exercises
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Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): https://
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Machine Learning Design Guides Cover Data Preparation and Deployment
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Managing Machine Learning Projects from Design to Deployment: https://
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A DevOps Guide Builds Autonomous CI/CD and Operations Workflows
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New Release by @PacktPublishing @PacktDataML Agentic AI for DevOps Engineers — Build autonomous CI/CD, infrastructure, and operations workflows Get the expert insight at https://
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Agent Engineering Guide Covers Secure and Reliable Production Deployment
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
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Fifty Machine Learning Projects Explore Transformer Mechanisms
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, & experimentation: http://
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AI Systems Architecture Guide Integrates AI Into Conventional Software
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Kaggle Book Covers Competitions With Machine Learning and LLMs
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The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, and LLMs [2nd Ed.]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with Kaggle