Machine Learning with PyTorch and Scikit-Learn
Fully updated with PyTorch and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: transformers and graph neural networks.
Offered by
Difficulty Level
Intermediate
Completion Time
25h48m
Language
English
About Book
Who Is This Book For?
If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Machine Learning with PyTorch and Scikit-Learn
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 25h48m total length
Giving Computers the Ability to Learn from Data
Training Simple Machine Learning Algorithms for Classification
A Tour of Machine Learning Classifiers Using Scikit-Learn
Building Good Training Datasets – Data Preprocessing
Compressing Data via Dimensionality Reduction
Learning Best Practices for Model Evaluation and Hyperparameter Tuning
Combining Different Models for Ensemble Learning
Applying Machine Learning to Sentiment Analysis
Predicting Continuous Target Variables with Regression Analysis
Working with Unlabeled Data – Clustering Analysis
Implementing a Multilayer Artificial Neural Network from Scratch
Parallelizing Neural Network Training with PyTorch
Going Deeper – The Mechanics of PyTorch
Classifying Images with Deep Convolutional Neural Networks
Modeling Sequential Data Using Recurrent Neural Networks
Transformers – Improving Natural Language Processing with Attention Mechanisms
Generative Adversarial Networks for Synthesizing New Data
Graph Neural Networks for Capturing Dependencies in Graph Structured Data
Reinforcement Learning for Decision Making in Complex Environments
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!