Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn, and Tensorflow
Idioma: inglés
Editorial: Independently published, 2019
- Tapa blanda
- Nuevo

Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Vendedor de AbeBooks desde el 28 de enero de 2020
Condición: Nuevo
EUR 20,51
Cantidad disponible: Más de 20 disponibles
Añadir al carritoN° de ref. del artículo 37079590-n
- Título
- Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn, and Tensorflow
- Autor
- Samuel Burns, Samuel Burns
- Editorial
- Independently published
- Año de publicación
- 2019
- Estado
- New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 1793175853
- ISBN 13
- 9781793175854
Why this book 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 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
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Why this book 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 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
“Acerca de” puede pertenecer a otra edición de este título.
GreatBookPricesUK
Woodford Green, Reino Unido
Vendedor de AbeBooks desde el 28 de enero de 2020
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|---|---|---|
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