Machine Learning with spark and python – Michael Bowles
Extracting actionable information from data is changing the fabric of modern business in ways that directly affect programmers. One way is the demand for new […]
Machine Learning
Machine Learning Mastery with Python – Understand your data, create accurate models and work projects end-to-end – Jason Brownlee
This book focuses on a speci fic sub- field of machine learning called predictive modeling. This is the field of machine learning that is the […]
Understanding Machine Learning from theory to algorithms – Shai Shalev-Shwartz & Shai Ben-David
The subject of this book is automated learning, or, as we will more often call it, Machine Learning (ML). That is, we wish to program […]
The hundred-page Machine Learning Book – Andriy Burkov
Let’s start by telling the truth: machines don’t learn. What a typical “learning machine” does, is finding a mathematical formula, which, when applied to a […]
Statistical Methods for Machine Learning – Disconver how to Transform data into Knowledge with Python – Jason Brownlee
Statistics is important to machine learning practitioners. Statistics is a prerequisite in most courses and books on applied machine learning. Statistical methods are used at […]
Python Machine Learning Cookbook – Practical solutions from preprocessing to Deep Learning – Chris Albon
Over the last few years machine learning has become embedded in a wide variety of day-to-day business, nonprofit, and government operations. As the popularity of […]
Machine Learning – The art and science of alhorithms that make sense of data – Peter Flach
This book started life in the Summer of 2008, when my employer, the University of Bristol, awarded me a one-year research fellowship. I decided to […]
Machine Learning Applications Using Python – Cases studies form Healthcare, Retail, and Finance – Puneet Mathur
The idea of writing this book came up when I was planning a machine learning workshop in Bangalore in 2016. When I interacted with people, […]
Machine Learning – An Algorithmic Perspective second edition – Stephen Marsland
One of the most interesting features of machine learning is that it lies on the boundary of several different academic disciplines, principally computer science, statistics, […]
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow – Aurelien Geron
In 2006, Geoffrey Hinton et al. published a paper showing how to train a deep neural network capable of recognizing handwritten digits with state-of-the-art precision […]
Foundations of Machine Learning second edition – Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalkar
This book was written for anyone who wishes to explore deep learning from scratch or broaden their understanding of deep learning. Whether you’re a practicing […]
Building Chatbots with Python Using Natural Language Processing and Machine Learning – Sumit Raj
This book has been written with immense care to keep the teachings from this book very pragmatic and results-oriented. Building chatbots is not just about […]
Artificial Intelligence with an introduction to Machine Learning second edition – Richar E. Neapolitan & Xia Jiang
Over the years, my view of an artificial intelligence (AI) course has changed significantly. I used to view it as a course that should discuss […]
Machine Learning with Python for everyone – Mark E.Fenner
From time to time, people trot out a tired claim that computers can “only do what they are told to do.” The claim is taken […]
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning – Julian Avila & Trent Hauck
Chapter 1, High-Performance Machine Learning – NumPy, features your first machine learning algorithm with support vector machines. We distinguish between classification (what type?) and regression […]
Introduction to Machine Learning with Python – Andreas C.Muller & Sarah Guido
Machine learning is an integral part of many commercial applications and research projects today, in areas ranging from medical diagnosis and treatment to finding your […]
Python Machine Learning Second Edition – Sebastian Raschka & Vahid Mirjalili
Through exposure to the news and social media, you are probably aware of the fact that machine learning has become one of the most exciting […]
Python Machine Learning Third Edition – Sebastian Raschka & Vahid Mirjalili
Through exposure to the news and social media, you are probably very familiar with the fact that machine learning has become one of the most […]
Python Deeper Insights into Machine Learning – Sebastian Raschka & David Julian & John Hearty
Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace .It is one of the […]
Python Machine Learning Eqution Reference – Sebastian Raschka
Giving Computers the Ability to Learn from Data Training Machine Learning Algorithms for Classification A Tour of Machine Learning Classifiers Using Scikit-learn Building Good Training […]
