Modern Algorithms for Image Processing
by Vladimir Kovalevsky
Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book.Modern Algorithms for Image Processing approaches the topic of image processing through teaching by example. Throughout the book, you will create projects that resolve typical problems that you might encounter in the world of digital image processing. Some pr...
Price: $37.99 | Publisher: Apress | Release: 2019
by Mark Needham, Amy Hodler
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior.Mark Needham and Amy Hodler from Neo4j explain how g...
Price: $45.63 | Publisher: O'Reilly Media | 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
FREE EBOOK - TensorFlow Roadmap
by Amirsina Torfi
A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility is designing highly modular model which also can be a disadvantage too for beginners since lots of the pieces must be consid...
Publisher: Self-publishing | Release: 2019
FREE EBOOK - Introduction to Data Science
by Rafael A Irizarry
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such as R programming, data wrangling with dplyr, data visualizati...
Publisher: Leanpub | Release: 2019
by Liudong Xing, Gregory Levitin, Chaonan Wang
This book focuses on hot issues of dynamic system reliability, systematically introducing the reliability modeling and analysis methods for systems with imperfect fault coverage, systems with function dependence, systems subject to deterministic or probabilistic common-cause failures, systems subject to deterministic or probabilistic competing failures, and dynamic standby sparing systems. It presents recen...
Price: $107.51 | Publisher: Wiley | Release: 2019
Machine Learning and AI for Healthcare
by Arjun Panesar
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.You'll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. Yo...
Price: $34.45 | Publisher: Apress | Release: 2019
Artificial Intelligence for Fashion
by Leanne Luce
Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and ...
Price: $27.99 | Publisher: Apress | Release: 2019
by Pramod Singh
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark.Machine Learning with PySpark shows you ...
Price: $20.41 | Publisher: Apress | Release: 2019
by Yanis Zafiropulos
Get the most out of Swift 4 with this carefully compiled collection of select code snippets designed to solve everyday coding problems. This book features the Apress easy-to-use recipe format, with step-by-step instructions, and a no-fuss approach. You'll explore a wide range of topics, all neatly organized according to the language's own core elements and building blocks. You'll review commo...
Price: $29.48 | Publisher: Apress | Release: 2019