Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn and Tensorflow 9781090434166

Варианты приобретения

Цена: 17230.00T
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: 188 шт.
При оформлении заказа до: 2025-07-23
Ориентировочная дата поставки: конец Сентября - начало Октября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Samuel Burns
Название: Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn and Tensorflow
ISBN: 9781090434166
Издательство: Independently Published
Классификация: ISBN-10: 1090434162
Обложка/Формат: Paperback
Страницы: 148
Вес: 0.23 кг.
Дата издания: 13.03.2019
Язык: English
Размер: 229 x 152 x 10
Поставляется из: США
Описание: You are interested in becoming a machine learning expert but dont know where to start from? Dont worry you dont 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.

Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn and Tensorflow, Samuel Burns