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Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teac...

Price:  $40.00  |  Publisher:  Packt Publishing  |  Release:  2022

Mastering Azure Machine Learning, 2nd Edition

Mastering Azure Machine Learning, 2nd Edition

by Christoph Korner, Marcel Alsdorf

Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and...

Price:  $41.99  |  Publisher:  Packt Publishing  |  Release:  2022

Deep Learning with TensorFlow and Keras, 3rd Edition

Deep Learning with TensorFlow and Keras, 3rd Edition

by Amita Kapoor, Antonio Gulli, Sujit Pal

Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2022

Transformers for Natural Language Processing, 2nd Edition

Transformers for Natural Language Processing, 2nd Edition

by Denis Rothman

Transformers are a game-changer for natural language understanding (NLU) and have become one of the pillars of artificial intelligence.Transformers for Natural Language Processing, 2nd Edition, investigates deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question-answering, and many more NLP domains with transformers.An Industry 4.0 AI specialist needs to be adapta...

Price:  $29.07  |  Publisher:  Packt Publishing  |  Release:  2022

Convolutional Neural Networks with Swift for Tensorflow

Convolutional Neural Networks with Swift for Tensorflow

by Brett Koonce

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you...

Price:  $29.14  |  Publisher:  Apress  |  Release:  2021

Computer Vision Using Deep Learning

Computer Vision Using Deep Learning

by Vaibhav Verdhan

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the...

Price:  $33.17  |  Publisher:  Apress  |  Release:  2021

Math for Deep Learning

Math for Deep Learning

by Ronald T. Kneusel

Deep learning is everywhere, making this powerful driver of AI something more STEM professionals need to know. Learning which library commands to use is one thing, but to truly understand the discipline, you need to grasp the mathematical concepts that make it tick. This book will give you a working knowledge of topics in probability, statistics, linear algebra, and differential calculus - the essential mat...

Price:  $37.30  |  Publisher:  No Starch Press  |  Release:  2021

Deep Learning with Swift for TensorFlow

Deep Learning with Swift for TensorFlow

by Rahul Bhalley

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...

Price:  $39.13  |  Publisher:  Apress  |  Release:  2021

Deep Reinforcement Learning in Unity

Deep Reinforcement Learning in Unity

by Abhilash Majumder

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshe...

Price:  $49.42  |  Publisher:  Apress  |  Release:  2021

Beginning Mathematica and Wolfram for Data Science

Beginning Mathematica and Wolfram for Data Science

by Jalil Villalobos Alva

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram language for data science from a theoretical and practical perspective....

Price:  $36.17  |  Publisher:  Apress  |  Release:  2021

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