Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Introduction to Machine Learning with Python : A Guide for Data Scientists - Andreas C. Müller

Introduction to Machine Learning with Python

A Guide for Data Scientists

By: Andreas C. Müller, Sarah Guido

eText | 26 September 2016 | Edition Number 1

At a Glance

eText

$50.59

or 4 interest-free payments of $12.65 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.

With this book, you'll learn:

  • Fundamental concepts and applications of machine learning
  • Advantages and shortcomings of widely used machine learning algorithms
  • How to represent data processed by machine learning, including which data aspects to focus on
  • Advanced methods for model evaluation and parameter tuning
  • The concept of pipelines for chaining models and encapsulating your workflow
  • Methods for working with text data, including text-specific processing techniques
  • Suggestions for improving your machine learning and data science skills
on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceNatural Language & Machine TranslationComputer Programming & Software DevelopmentAlgorithms & Data Structures

More in Algorithms & Data Structures

Addiction by Design : Machine Gambling in Las Vegas - Natasha Dow Schüll

eBOOK

Addiction by Design

Machine Gambling in Las Vegas

eBook

RRP $47.30

$37.99

20%
OFF
Deep Learning Crash Course - Giovanni Volpe

eBOOK

Deep Learning Crash Course

eBook

RRP $81.07

$64.99

20%
OFF

This product is categorised by