Python for Machine Learning

· Maksym Nevdokhin · 내레이터: Jim D Johnston 및 William Bay
오디오북
2시간 26분
원본
적용 가능
무료 9분 샘플을 들어 보고 싶으신가요? 오프라인일 때를 비롯해 언제든지 들을 수 있습니다. 
추가

오디오북 정보

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved.

Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty.

Here’s what you will learn:

· Important machine learning concepts and applications

· The difference between supervised and unsupervised learning

· Commonly used supervised and unsupervised learning algorithms and models

· What libraries you will benefit from using

· How to visualize your data

· Regression and classification learning models

· An introduction to data science

· The five-step plan to becoming a data scientist

· Ten things that everyone needs to know about machine learning

You’ll even get a complete hands-on project that takes you through building your own machine learning project.

What you won't get is a lesson on using Python programming language; this book requires that you already know the basics.

So, if you are interested in taking your programming even further, scroll up, hit that Buy Now button, and start a new journey of discovery.

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. Even beginners using the Python programming language can be a part of machi...

오디오북 평가

의견을 알려주세요.

오디오북을 듣는 방법

스마트폰 및 태블릿
Android 및 iPad/iPhone용 Google Play 북 앱을 설치하세요. 계정과 자동으로 동기화되어 어디서나 온라인 또는 오프라인으로 책을 읽을 수 있습니다.
노트북 및 컴퓨터
Google Play에서 구입한 도서를 컴퓨터의 웹브라우저로 읽을 수 있습니다.