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Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work

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Deep Learning with R, Third Edition: From first principles to generative AI

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Machine Learning for Time Series with Python: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Applied Machine Learning: A Hands-On, Project-First Introduction to Modern ML Tooling and Techniques

Mathematics and Programming for Machine Learning with R: From the Ground Up

Machine Learning For Absolute Beginners: A Plain English Introduction (Machine Learning From Scratch)

Machine Learning Algorithms & Markov Models Supervised And Unsupervised Learning with Python & Data Science 2 Manuscripts in 1 Book (Paperback)

Machine Learning with Go Quick Start Guide: Hands-on techniques for building supervised and unsupervised machine learning workflows

Handbook of Deep Learning Models Volume One: Fundamentals

Python 3 for Machine Learning - by Oswald Campesato (Paperback)

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Classification Applications with Deep Learning and Machine Learning Technologies

Machine Learning for Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work

Machine Learning for Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work

Scientific Machine Learning: Foundations, Algorithms, and Applications

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Neural Networks for Beginners: Introduction to Machine Learning and Deep Learning

Designing Machine Learning Systems: Step by Step Tutorials (Paperback)

Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions

Machine Learning Crash Course for Engineers

Adaptive Machine Learning Algorithms with Python

Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning

Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Hands-On Deep Learning with TensorFlow: Uncover what is underneath your data!

Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

Machine Learning in Elixir

The Python Book (21st Ed) (Digital)

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Deep Learning for Beginners: A Comprehensive Introduction of Deep Learning Fundamentals for Beginners to Understanding Frameworks, Neural Networks, Large Datasets, and Creative Applications with Ease

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Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases

Machine Learning Engineering with Python - Second Edition: Manage the lifecycle of machine learning models using MLOps with practical examples

Machine Learning: A Guide to Current Research (The Springer International Series in Engineering and Computer Science, 12) [Used - Very good]

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