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Python: Deeper Insights into Machine Learning
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning: Deeper Insights into Machine Learning

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Profile Icon David Julian Profile Icon John Hearty Profile Icon Sebastian Raschka
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Course Aug 2016 901 pages 1st Edition
Arrow left icon
Profile Icon David Julian Profile Icon John Hearty Profile Icon Sebastian Raschka
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Course Aug 2016 901 pages 1st Edition

Key benefits

  • Improve and optimise machine learning systems using effective strategies.
  • Develop a strategy to deal with a large amount of data.
  • Use of Python code for implementing a range of machine learning algorithms and techniques.

Description

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 fastest growing trends in modern computing, and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project. The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems. The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it’s time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems. At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering.

Who is this book for?

This title is for data scientist and researchers who are already into the field of data science and want to see machine learning in action and explore its real-world application. Prior knowledge of Python programming and mathematics is must with basic knowledge of machine learning concepts.

What you will learn

  • Learn to write clean and elegant Python code that will optimize the strength of your algorithms
  • Uncover hidden patterns and structures in data with clustering
  • Improve accuracy and consistency of results using powerful feature engineering techniques
  • Gain practical and theoretical understanding of cutting-edge deep learning algorithms
  • Solve unique tasks by building models
  • Get grips on the machine learning design process

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 31, 2016
Length: 901 pages
Edition : 1st
Language : English
ISBN-13 : 9781787128576
Category :
Languages :

Product Details

Publication date : Aug 31, 2016
Length: 901 pages
Edition : 1st
Language : English
ISBN-13 : 9781787128576
Category :
Languages :

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Table of Contents

5 Chapters
1. Module 1 Chevron down icon Chevron up icon
2. Module 2 Chevron down icon Chevron up icon
3. Module 3 Chevron down icon Chevron up icon
A. Biblography Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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