Large Scale Machine Learning with Python [Book]GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. It contains all the supporting project files necessary to work through the book from start to finish. The execution of the code examples provided in this book requires an installation of Python 2.
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Introducing new learning courses and educational videos from Apress. Start watching. Skip to main content Skip to table of contents. Advertisement Hide. Front Matter Pages i-xvii. Introduction to Deep Learning.
You get:. Click to jump straight to the packages. The recipes in this book alone are worth the money, but Jason very effectively breaks down the theory behind each algorithm, and outlines their appropriate use-case. This is great for any level ML developer, even advanced, as he includes information not found anywhere else. You will discover the step-by-step process that you can use to get started and become good at machine learning for predictive modeling with the Python ecosystem including:. This book will lead you from being a developer who is interested in machine learning with Python to a developer who has the resources and capability to work through a new dataset end-to-end using Python and develop accurate predictive models. From here you can start to dive into the specifics of the functions, techniques and algorithms used with the goal of learning how to use them better in order to deliver more accurate predictive models, more reliably in less time.
Learn to build powerful machine learning models quickly and deploy large-scale predictive applications. This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful. Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need.
Everything You Need To Know to Apply Machine Learning in Python
Comment 1. The following is a list of 35 free online ebooks pdf format that can be used for learning ML at your own pace. Published at DZone with permission of Ajitesh Kumar. See the original article here. Over a million developers have joined DZone. Let's be friends:.