Machine Learning with Python - Hein Smith - Books - Createspace Independent Publishing Platf - 9781729833087 - November 23, 2018
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Machine Learning with Python

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Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us. All the way from self-driving cars to predictions in the stock market, there is no place where machine learning cannot be utilized. Today, it is a top skill in high demand in the job market. For that reason, why not grab a Step-By-Step Guide to Learn and Master Python Machine Learning?You'll discover the steps required to develop a successful machine-learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With a Step-By-Step Guide to Learn and Master Python Machine Learning, you'll learn: The important concepts and real-world application of machine learning. Pros and cons of most popular machine learning algorithms The basics of Python Learn about data preprocessing, analysis, and visualization Preprocessing techniques to use in data Regression methods Clustering Recommendation engines And many moreIf you are serious about machine learning with Python and don't know how to get started, A Step-By-Step Guide to Learn and Master Python Machine Learning is your best tool to use.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 23, 2018
ISBN13 9781729833087
Publishers Createspace Independent Publishing Platf
Pages 80
Dimensions 152 × 229 × 4 mm   ·   117 g
Language English  

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