Machine Learning
Guide to Deep Learning, Python, and Neural Networks for Business
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Machine Learning
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Narrated by:
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Mack Allan
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Nicholas Vogl
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By:
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Artus Duval
About this listen
If you want to unleash the power of data science research, machine learning tools, and learn how to optimize business processes with neural networks, then this is the audiobook for you...
Do you want to leverage data science and analytics for good decision making that will give your business a huge boost? Are you looking for cheap ways to implement the practical applications of data science and machine learning to help you stay ahead of your competitors?
In this guide, you will learn the processes used by successful companies to turn raw data into powerful insights using open source tools and libraries such as Python, SciKit, and others. You'll also learn how to apply these methods to your own business data to help you make robust decisions.
Here's a preview of what you're going to discover in Machine Learning:
- Everything you need to know about Machine Learning and why it's important for modern businesses
- Strong deep learning and machine learning tools, languages, and libraries you need to know about
- A crash guide to Python basics - variables, functions, data types, loop processing, and more
- 6 powerful reasons why Python is the perfect language to perform business-related data science and machine learning tasks
- How to analyze data with the Python SciKit Learn library
- Step-by-step instructions to set up a Python environment and install the relevant machine learning packages
- How to use matplotlib to visualize your data with beautiful images
- A gentle introduction to working with recurrent neural networks (RNN)
- And tons more!
Whether you're simply intrigued about the business applications of data science or looking for ways to optimize your activity and streamline operations, this guide will show you everything you need to extract value from your business data.
Get this audiobook and listen now!
©2019 Artus Duval (P)2019 Artus DuvalRelated to this topic
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