Machine Learning Using R, 2nd Edition 
by Karthik Ramasubramanian, Abhishek Singh
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.As in the first edition, the authors ha...
Price: $31.74 | Publisher: Apress | Release: 2019
Natural Language Processing Recipes
by Akshay Kulkarni, Adarsha Shivananda
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis.Natural Language Processing Recipes sta...
Price: $31.32 | Publisher: Apress | Release: 2019
Beginning Machine Learning in iOS
by Mohit Thakkar
Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products.Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Fa...
Price: $23.65 | Publisher: Apress | Release: 2019
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
by Aurelien Geron
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. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlo...
Price: $42.48 | Publisher: O'Reilly Media | Release: 2019
Practical Time Series Analysis
by Aileen Nielsen
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.Covering innovations in time series data a...
Price: $31.99 | Publisher: O'Reilly Media | Release: 2019
by Pete Warden, Daniel Situnayake
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size - small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train ...
Price: $24.99 | Publisher: O'Reilly Media | Release: 2019
by Doug Hudgeon, Richard Nichol
Machine learning can deliver these and other advantages to your business, and it's never been easier to get started!Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, iden...
Price: $27.99 | Publisher: Manning | Release: 2019
Genetic Algorithms and Machine Learning for Programmers
by Frances Buontempo
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine lear...
Price: $33.35 | Publisher: The Pragmatic Programmers | Release: 2019
Machine Learning with R, 3rd Edition
by Brett Lantz
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you ...
Price: $35.99 | Publisher: Packt Publishing | Release: 2019
by Jannes Klaas
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.The book is based on Jannes Klaas experience of running machine lea...
Price: $39.99 | Publisher: Packt Publishing | Release: 2019