Hands-on Machine Learning with Python 
by Ashwin Pajankar, Aditya Joshi
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who wil...
Price: $38.06 | Publisher: Apress | Release: 2022
Automated Deep Learning Using Neural Network Intelligence
by Ivan Gridin
Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-par...
Price: $42.96 | Publisher: Apress | Release: 2022
Computer Vision Projects with PyTorch
by Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of t...
Price: $49.99 | Publisher: Apress | Release: 2022
Fundamentals of Deep Learning, 2nd Edition 
by Nithin Buduma, Nikhil Buduma, Joe Papa
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition of th...
Price: $52.95 | Publisher: O'Reilly Media | Release: 2022
Practical Simulations for Machine Learning
by Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent, Jon Manning
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That's just the beginning.With this practical...
Price: $59.99 | Publisher: O'Reilly Media | Release: 2022
Deep Learning for Natural Language Processing
by Stephan Raaijmakers
Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaij...
Price: $44.96 | Publisher: Manning | Release: 2022
by Johan Vos
Quantum Computing in Action shows you how to leverage your existing Java skills into writing your first quantum software, so you're ready for the quantum revolution. This book is focused on practical implementations of quantum computing algorithms - there's no deep math or confusing theory. Using Strange, a Java-based quantum computer simulator, you'll go hands-on with quantum computing'...
Price: $45.49 | Publisher: Manning | Release: 2022
Getting Started with Natural Language Processing
by Ekaterina Kochmar
Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put...
Price: $39.59 | Publisher: Manning | Release: 2022
by Ajay Thampi
Interpretable AI opens up the black box of your AI models. It teaches cutting-edge techniques and best practices that can make even complex AI systems interpretable. Each method is easy to implement with just Python and open source libraries. You'll learn to identify when you can utilize models that are inherently transparent, and how to mitigate opacity when your problem demands the power of a hard-to...
Price: $49.99 | Publisher: Manning | Release: 2022
by Carl Osipov
MLOps Engineering at Scale shows you how to put machine learning into production efficiently by using pre-built services from AWS and other cloud vendors. You'll learn how to rapidly create flexible and scalable machine learning systems without laboring over time-consuming operational tasks or taking on the costly overhead of physical hardware. Following a real-world use case for calculating taxi fares...
Price: $47.18 | Publisher: Manning | Release: 2022