Python Machine Learning by Samuel Burns at Bookstore UAE
Python Machine Learning

Python Machine Learning


     0     
5
4
3
2
1



International Edition


About the Book

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.


Best Sellers



Product Details
  • ISBN-13: 9781090434166
  • Publisher: Amazon Digital Services LLC - KDP Print US
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 178
  • Series Title: Step-By-Step Tutorial for Beginners
  • Sub Title: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow
  • Width: 152 mm
  • ISBN-10: 1090434162
  • Publisher Date: 13 Mar 2019
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 10 mm
  • Weight: 317 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Python Machine Learning
Amazon Digital Services LLC - KDP Print US -
Python Machine Learning
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Python Machine Learning

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!