Machine Learning and Artificial Intelligence: Concepts, Algorithms …
Mar 15, 2025 · Chapter 10: Neural Networks and Deep Learning; Chapter 11: Self-Supervised Deep Learning; Chapter 12: Deep Learning Models and Applications (Text, Vision, and Audio) Part VI: Reinforcement Learning . Chapter 13: Reinforcement Learning; Part VII: Other Algorithms and Concepts . Chapter 14: Making Lighter Neural Network and Machine Learning Models
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Unraveling the Mathematics of Machine Learning and Deep Learning ...
Feb 22, 2022 · · In-depth explanation of machine learning and deep learning algorithms along with mathematics behind them · Coverage of machine learning algorithms such as linear regression, logistic regression, SVM, decision tree, random forest, KNN, naïve Bayes, market basket analysis, clustering (K-Means, K-Medoids, K-Modes, and K-Prototypes), and ...
- 4.4/5(23)
Fundamentals and Methods of Machine and Deep Learning: Algorithms …
Feb 8, 2022 · FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING. The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, …
Amazon.com: Machine Learning Algorithms
Machine Learning Essentials: A comprehensive guide to understanding and applying machine learning algorithms for predictive analytics (Data Discoveries: Unraveling Insights through Analytics)
Python Machine Learning - Second Edition: Machine Learning and Deep ...
Sep 15, 2017 · Understand the key frameworks in data science, machine learning, and deep learning; Harness the power of the latest Python open source libraries in machine learning; Explore machine learning techniques using challenging real-world data; Master deep neural network implementation using the TensorFlow 1.x library
Machine Learning Algorithms in Depth - amazon.com
Aug 27, 2024 · Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probabilistic algorithms, you’ll learn the fundamentals of Bayesian inference and deep learning.
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Amazon.com : deep learning
Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)
Amazon scientists author popular deep-learning book
To help close that gap, over the past two years a team of Amazon scientists has compiled a book that is gaining wide popularity with universities that teach machine learning, as well as developers who want to up their machine learning game.
Amazon team adds key programming frameworks to Dive into Deep Learning ...
Over the past few years, a team of Amazon scientists has been developing a book that is gaining popularity with students and developers attracted to the booming field of deep learning, a subset of machine learning focused on large-scale artificial neural networks.
Popular deep-learning book from Amazon authors gets update
Dec 22, 2022 · The authors say that, to the best of their knowledge, Dive into Deep Learning is the first deep-learning book to offer a JAX implementation. The book also supports the MXNet, PyTorch and TensorFlow programming frameworks.
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