Catalog Search Results
Author
Language
English
Description
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow 2-to help you gain an intuitive understanding...
Author
Language
English
Description
Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep learning with Python, second edition" introduces...
Author
Pub. Date
[2021]
Language
English
Description
Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real-world deep learning experience. You'll build your skills and confidence with each interesting example. Deep learning patterns and practices is a deep dive into building successful deep learning applications. ...
Author
Pub. Date
2020.
Edition
First edition.
Language
English
Description
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers--including experienced practitioners and novices alike--will learn the tools, best practices, and challenges involved in building a real-world ML application step...
31) Machine learning
Author
Series
Pub. Date
2021.
Language
English
Description
Explore the technology that is changing our world! Imagine a machine that can learn from experience and teach itself new things- that's AI in action! Trace the development of intelligent machines from the earliest ideas to today's technology. Discover how AI helps us in different ways, including problem solving and diagnosing diseases. The Explore AI series takes a trip through the past, present and future of artificial intelligence. Explore the incredible...
Author
Series
Pub. Date
2023.
Edition
Fourth edition.
Language
English
Description
Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the era of "big data" and "data science." Given the growing prominence of R - a cross-platform, zero-cost statistical programming environment - there has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set...
Author
Pub. Date
[2018]
Language
English
Description
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build,...
Interlibrary Loan
Didn't find what you need? Items not owned by Main Library Alliance members might be available in other libraries across New Jersey. You can search JerseyCat and place a request for the item to be sent to your library.
If your library doesn't permit JerseyCat requests or the item can't be found, you can also contact your library for assistance.Didn't find it?
Can't find what you are looking for? Try our Materials Request Service. Submit Request