Practical Machine Learning with Python || Building, Tuning, and Deploying ModelsA very popular saying in the Machine Learning community is "70% of Machine Learning is data processing" and going by the structure of this book, the quote seems quite apt. In the preceding chapters, you saw how ...
with Machine Learning and Deep Learning by following a data-driven mindset. By using real-world case studies 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...
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...
Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights...
【预订】Machine Learning with Python Cookbook: Practical Solutions ... 9781491989388 美国库房发货,通常付款后3-5周到货! 作者:Albon, Chris出版社:O’Reilly Media出版时间:2018年04月 手机专享价 ¥ 当当价 降价通知 ¥1013 配送至 北京 至 北京市东城区 服务 由“中国进口图书旗舰店”发货,并提供...
Practical Machine Learning with Python.pdf The availability of affordable compute power enabled by Moore’s law has been enabling rapid advances in Machine Learning solutions and driving adoption across diverse segments of the industry. The ability to learn complex models underlying the real-world ...
with machine learning. it teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in python machine learning ecosystems. the book also focuses on building a foundation of machine learning knowledge to solve different real-...
with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-...
All the machine learning algorithms have fields for what is being learned. In Python, the first three are given to train(), not when creating the estimator object: x Which fields in training_frame to learn from. The convention in this book is to store them in a variable also called x....
This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring real word data sets, as well as, for building predictive models. The main parts of the book include: A)Unsupervised learningmethods, to explore and discover knowledge from...