Free computers and the internet Kindle books for 17 Nov 18

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow ( Step-by-Step Tutorial For Beginners)

by Samuel Burns

You want to learn Machine Learning and Deep Learning with Python, Scikit-Learn, Tenserflow…and you don’t know how to start? You don’t need a big boring and expensive textbook. This book is the best one for everyone.

Download your copy TODAY!!

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 categoriesof 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.

getting familiar with microsoft word : The dummies guide to microsoft word

by Aliu David

These notes are designed to cover the essential features of Microsoft Word. It covers everything
which all users should know, whether they are complete beginners or are already reasonably
familiar with Word. Once you have made sure you know the fundamentals, take a look at the
intermediate level guide,

Kodi on Amazon Firestick: Easy Step by Step User Guide to Install Kodi on Amazon Firestick in 45 Minutes

by Sylvester Davies

Our world of streaming media is changing every day. Thus, yesterday’s instruction becomes useless today. You can save yourself the frustration and headache of trying to use a guide that might not work anymore.

This brand new guide reveals strategies you can use to enjoy the entertainment world.

This book will teach you lessons about:

Procedure of jail breaking the Amazon firestick within 10 minutes. The procedure you will be taught is highly simplified which helps you to use your fire stick any how you desire.
-The two basic procedures of installing KODI, media player and web media organizer just within 10 minutes. You will see the latest method you can use for installation of your KODI with their amazing and recent updates.
-How to get many Add-ons that will be very helpful to you (the best 4k add-on) for every Kodi user. I have sorted all these add-ons and tried them all to find out the ones that really work and the ones that don’t. It was wrapped up in a simplified and concise manner.
-Whether what you need is the most recent episode of your favorite TV program or movie or even the latest gist in your town, you have the best app in this book. The apps are described for you with information about how to access them. Your only work is to have them installed and begin accessing their content.
-Basic modification that will enable you to enhance your KODI experience. All the techie talk and jargons has been explained in clear vocabularies. You just need to follow the steps highlighted here. KODI is the latest key for you to enjoy entertainment 24/7 in a way you didn’t know was possible.
Whether your desire is to watch movies, listen to music, watch all seasons of your favorite TV program or even curious to know something new, KODI posses all of these features and much more including providing access to common tricks, tips and hacks one can use, best fire stick free VPN. So let’s get started!
So with this guide on your hands, you got no fear even if you are not tech-savvy.

Get it NOW and enjoy your entertainment world as a Pro!

Computer Programming for Complete Beginners: A Quick Course for Mastering the Basics of Coding through Interactive Steps and Visual Examples

by Ikram Hawramani

Computer Programming for Complete Beginners is a practical guide for beginners to programming. This book is not concerned with theory but with real-world examples that show programming in action. All important concepts are shown many times and in many contexts. Readers will enjoy the numerous screenshots and illustrations and, if they desire, can easily follow along on their own computers and tablets without needing to install any special software.

The language used is the JavaScript language, the language of the web that is the basis for the code that runs millions of websites and apps.

Machine Learning Application for Production Plant Cost Engineering Support System

by Masafumi Furukawa

Production plant cost engineering is time consuming. It is not accurate in actual projects as well. This thesis shows that autoQuota, a server side application created in 2017, can shorten the engineering working time and improve the accuracy of cost prediction. autoQuota supports basic design and cost engineering in plant construction projects.

autoQuota has two major functions: first, data collection and accumulation through inquiry-proposal transactions between buyers and sellers; second, autoQuota predicts equipment costs by a machine learning algorithm. It is confirmed that the cost engineering transactions are remarkably improved by these functions. The data collection function is implemented by empirical based algorithms. The cost prediction function is implemented by a machine learning algorithm. These algorithms were verified by my experiments which assigned 49 companies and 148 transactions. The transaction results were verified by 3 methods: first, R2 values comparisons; second, the study of error over cost scatter plot diagram; third, the comparison of the actual costs and the predicted costs.

The experiments above verified that autoQuota shortened the cost engineering working time, improved cost prediction accuracies, and collected structural data in a relational database management system effectively. autoQuota will develop its function to automatic design systems with Apriori algorithm. The cooperation with other software such as ASPEN through proper API of autoQuota will create further advanced design systems.

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