Unity Artificial Intelligence Programming, 5th Edition 
by Dr. Davide Aversa
Developing artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters.The updated fifth ...
Price: $39.99 | Publisher: Packt Publishing | Release: 2022
Practical Deep Learning at Scale with MLflow
by Yong Liu
The book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified fram...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
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
Practical Machine Learning for Computer Vision
by Valliappa Lakshmanan, Martin Görner, Ryan Gillard
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data p...
Price: $59.54 | Publisher: O'Reilly Media | Release: 2021
by John Taylor, Wayne Taylor
Discover how to apply software engineering patterns to develop more robust firmware faster than traditional embedded development approaches. In the authors' experience, traditional embedded software projects tend towards monolithic applications that are optimized for their target hardware platforms. This leads to software that is fragile in terms of extensibility and difficult to test without fully int...
Price: $39.99 | Publisher: Apress | Release: 2021
Quantum Machine Learning: An Applied Approach
by Santanu Ganguly
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power o...
Price: $48.75 | Publisher: Apress | Release: 2021
AI and Machine Learning for On-Device Development
by Laurence Moroney
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques...
Price: $52.74 | Publisher: O'Reilly Media | Release: 2021
Quantum Machine Learning with Python
by Santanu Pattanayak
Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in f...
Price: $28.98 | Publisher: Apress | Release: 2021
Beginning Machine Learning in the Browser
by Suryadevara Nagender Kumar
Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental...
Price: $29.04 | Publisher: Apress | Release: 2021
AI for Healthcare with Keras and Tensorflow 2.0
by Anshik Bansal
Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-popu...
Price: $36.74 | Publisher: Apress | Release: 2021