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
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...
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in...
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-...
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 ...
Understand machine learning development and frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning en...
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-...
Python Machine learning Psychological applications Regression models Tutorial 1. Introduction In the dynamic field of psychology, the emergence of ML represents a significant change, blending the areas of computer science with human behavior and cognitive processes. ML, as a subset of artificial intellige...