Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow by Samuel Burns
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow by Samuel Burns

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow

You are interested in becoming a machine learning expert but don't know where to start from? Don't...
CHF 24.54
CHF 24.54
SKU: 9781090434166.00
Product Type: Books
Please hurry! Only 564 left in stock
Author: Samuel Burns
Format: Paperback
Language: English
Subtotal: CHF 24.54
10 customers are viewing this product
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow by Samuel Burns

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow

CHF 24.54
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow by Samuel Burns

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow

CHF 24.54
Author: Samuel Burns
Format: Paperback
Language: English
Description
You are interested in becoming a machine learning expert but don't know where to start from? Don't worry you don't need a big boring and expensive Textbook. This book is the best guide for you. Get your copy NOW Why this guide is the best one for Data Scientist? Here are the reasons: The author has explored everything about machine learning and deep learning right from the basics.
  • A simple language has been used.
  • Many examples have been given, both theoretically and programmatically.
  • Screenshots showing program outputs have been added.
The book is written chronologically, in a step-by-step manner.Book Objectives: The Aims and Objectives of the Book:
  • To help you understand the basics of machine learning and deep learning.
  • Understand the various categories of machine learning algorithms.
  • To help you understand how different machine learning algorithms work.
  • You will learn how to implement various machine learning algorithms programmatically in Python.
  • To help you learn how to use Scikit-Learn and TensorFlow Libraries in Python.
  • To help you know how to analyze data programmatically to extract patterns, trends, and relationships between variables.
Who this Book is for?Here are the target readers for this book:
  • Anybody who is a complete beginner to machine learning in Python.
  • Anybody who needs to advance their programming skills in Python for machine learning programming and deep learning.
  • Professionals in data science.
  • Professors, lecturers or tutors who are looking to find better ways to explain machine learning to their students in the simplest and easiest way.
  • Students and academicians, especially those focusing on neural networks, machine learning, and deep learning.
What do you need for this Book? You are required to have installed the following on your computer:
  • Python 3.X
  • Numpy
  • Pandas
  • Matplotlib

The Author guides you on how to install the rest of the Python libraries that are required for machine learning and deep learning.

What is inside the book:
  • Getting Started
  • Environment Setup
  • Using Scikit-Learn
  • Linear Regression with Scikit-Learn
  • k-Nearest Neighbors Algorithm
  • K-Means Clustering
  • Support Vector Machines
  • Neural Networks with Scikit-learn
  • Random Forest Algorithm
  • Using TensorFlow
  • Recurrent Neural Networks with TensorFlow
  • Linear Classifier
This book will teach you machine learning classifiers using scikit-learn and tenserflow . The book provides a great overview of functions you can use to build a support vector machine, decision tree, perceptron, and k-nearest neighbors. Thanks of this book you will be able to set up a learning pipeline that handles input and output data, pre-processes it, selects meaningful features, and applies a classifier on it. This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques. Concepts and the background of these concepts are explained clearly in this tutorial.

Author: Samuel Burns
Publisher: Independently Published
Published: 03/13/2019
Pages: 178
Binding Type: Paperback
Weight: 0.59lbs
Size: 9.00h x 6.00w x 0.41d
ISBN: 9781090434166

This title is not returnable
Shipping & Return

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Review

Related Products

Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54
Example product title
CHF 24.54
CHF 24.54

Recently Viewed Products