Python Real World Machine Learning Book [PDF] Download

Download the fantastic book titled Python Real World Machine Learning written by Prateek Joshi, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Python Real World Machine Learning", which was released on 14 November 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Python Real World Machine Learning by Prateek Joshi PDF

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a rigorous and effective approach Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and feature engineering. The third module in this learning path, Large Scale Machine Learning with Python, dives into scalable machine learning and the three forms of scalability. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the real world. The machine learning techniques covered in this Learning Path are at the forefront of commercial practice. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Python Machine Learning Cookbook by Prateek Joshi Advanced Machine Learning with Python by John Hearty Large Scale Machine Learning with Python by Bastiaan Sjardin, Alberto Boschetti, Luca Massaron Style and approach This course is a smooth learning path that will teach you how to get started with Python machine learning for the real world, and develop solutions to real-world problems. Through this comprehensive course, you'll learn to create the most effective machine learning techniques from scratch and more!


Detail About Python Real World Machine Learning PDF

  • Author : Prateek Joshi
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Total Pages : 941 pages
  • ISBN : 1787120678
  • PDF File Size : 52,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Python: Real World Machine Learning

Python: Real World Machine Learning
  • Publisher : Packt Publishing Ltd
  • File Size : 36,8 Mb
  • Release Date : 14 November 2016
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Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help

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  • Publisher : Unknown Publisher
  • File Size : 28,9 Mb
  • Release Date : 16 June 2017
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Python Machine Learning Cookbook

Python Machine Learning Cookbook
  • Publisher : Packt Publishing Ltd
  • File Size : 27,9 Mb
  • Release Date : 30 March 2019
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Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key FeaturesLearn and implement machine learning algorithms in a variety of real-life

Practical Machine Learning with Python

Practical Machine Learning with Python
  • Publisher : Apress
  • File Size : 54,7 Mb
  • Release Date : 20 December 2017
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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

Python Machine Learning Blueprints

Python Machine Learning Blueprints
  • Publisher : Packt Publishing Ltd
  • File Size : 31,6 Mb
  • Release Date : 31 January 2019
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Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key FeaturesGet to grips with Python's machine

TensorFlow Machine Learning Projects

TensorFlow Machine Learning Projects
  • Publisher : Packt Publishing Ltd
  • File Size : 34,8 Mb
  • Release Date : 30 November 2018
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Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects Key FeaturesUse machine learning and deep learning principles to build real-world projectsGet

Python Machine Learning Cookbook

Python Machine Learning Cookbook
  • Publisher : Packt Publishing Ltd
  • File Size : 53,9 Mb
  • Release Date : 23 June 2016
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100 recipes that teach you how to perform various machine learning tasks in the real world About This Book Understand which algorithms to use in a given context with the help

Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python
  • Publisher : Academic Press
  • File Size : 45,9 Mb
  • Release Date : 05 June 2020
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Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and

Python Reinforcement Learning

Python Reinforcement Learning
  • Publisher : Packt Publishing Ltd
  • File Size : 44,5 Mb
  • Release Date : 18 April 2019
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Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key FeaturesYour entry point into the world of artificial intelligence using the power of PythonAn

Intelligent Projects Using Python

Intelligent Projects Using Python
  • Publisher : Packt Publishing Ltd
  • File Size : 55,6 Mb
  • Release Date : 31 January 2019
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Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world projects tackling