Python Machine Learning: Everything You Should Know About Python Machine Learning Including Scikit Learn, Numpy, PyTorch, Keras And Tensorflow With Step-By-Step Examples And PRACTICAL Exercises

Author:   Joseph Mining
Publisher:   Independently Published
Volume:   2
ISBN:  

9781099307997


Pages:   140
Publication Date:   19 May 2019
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

Our Price $42.21 Quantity:  
Add to Cart

Share |

Python Machine Learning: Everything You Should Know About Python Machine Learning Including Scikit Learn, Numpy, PyTorch, Keras And Tensorflow With Step-By-Step Examples And PRACTICAL Exercises


Add your own review!

Overview

The world of machine learning is changing all the time. It is so amazing the idea that we are able to take a computer and let it learn as it goes. Without having to write out all of the codes that we need for every situation out there or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own. This guidebook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. When you are interested in learning more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you! Some of the topics that we will explore when we go through this guidebook will include: Understanding some of the basics of machine learning; Some of the different parts that you need to know to get started with machine learning and the Python language; What is Python, and some of the basic parts of writing codes in this language; How to set up the right environment in Python and get the libraries set up; Understanding the Scikit-Learn library, and why it is so important to work with this type of library; How to work with the K-Nearest Neighbors algorithm; What are support vector machines, random forest algorithm, and recurrent neural networks; What are linear classifiers; How K-Means clustering is going to be different from KNN; Other great things that you are able to do with Python Machine Learning. The field of machine learning is growing exponentially-and with the help of Python and all of the cool tools and libraries that come with it, you will find that there are endless possibilities of what you will be able to do with it. When you are ready to learn more about Python Machine Learning and when you want to be able to work towards your own projects and applications with this cool topic, make sure to check out this guidebook to help you get started! Scroll to the top of the page and select the buy now button!

Full Product Details

Author:   Joseph Mining
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   2
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.90cm
Weight:   0.195kg
ISBN:  

9781099307997


ISBN 10:   1099307996
Pages:   140
Publication Date:   19 May 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

Table of Contents

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

wl

Shopping Cart
Your cart is empty
Shopping cart
Mailing List