Oblasti, naše knjige

Java, JavaScript, JScript, Perl

C++ Visual C++ C#

Apple - MAC OS X

Visual Basic .NET, VBA, V. Studio

Web design

Android

PHP I MYSQL

Python programiranje

WordPress

AutoCad, ArchiCAD, SolidWorks, Catia, Pro/Engineer

Mašinsko učenje

Access

Animacija

Audio, Multimedia, Video

Baze podataka

Cloud

CSS

Delphi

Digitalna fotografija

Django

E-komerc

ECDL

GOOGLE

Grafika, Dizajn, Štampa

Hardver

Internet

Joomla

jQuery

Mreže

MS Office

Obrada teksta

OFFICE 2013

Programiranje

Raspberry PI

Rečnici

Robotika

Sertifikati

SQL Server

Statistika

Tabele

Telekomunikacije

Unix, Linux

Windows

Windows 7

Windows 8

Zaštita i sigurnost

 

Oblasti, drugi izdavači

Alternativna učenja

Antropologija

Arheologija

Arhitektura

Astrologija

Astronomija

Audio kursevi + knjige

Autobiografija

Automobili

Bajke

Biografija

Biološke nauke

Botanika

Dečije knjige

Dizajn

Domaće pripovetke

Domaći roman

Drama

E-knjiga

Ekologija

Ekonomija

Elektrotehnika

Enciklopedija

Esejistika

Etika

Fantastika

Film

Filologija

Filozofija

Fizika

Fotografija

Geografija

Geologija

Građevinarstvo

Hemija

Hidrotehnika

Hobi

Horor

Humor

Intervju

Istorija

Istorija i teorija književnosti

Istorija umetnosti

Istorijski roman

Knjiga posle posla - Beletristika i ostala izdanja

Knjižare i naše knjige

Književna kritika

Kuvari, hrana i piće

Leksikografija

Lingvistika

Ljubavni roman

logo

Magija

Marketing

Mašinstvo

Matematika

Medicina

Memoari

Menadžment

Modeliranje podataka

Monografija

Muzika

Nagrađivanje knjige

Naučna fantastika

OpenOffice.org

Operativni sistemi

Oracle

Organizacione nauke

Pedagogija

Pisci u medijima

Ples

Poezija

Politika

Poljoprivreda

Popularna medicina

Popularna nauka

Popularna psihologija

Posao

Pozorište

Pravo

Pravoslavlje

Primenjene nauke

Pripovetke

Prirodne nauke

Priručnik

Psihologija

Publicistika

Putopis

Religija

Roman

Satira

Saveti

Slikarstvo

Socijalna mreža - Facebook

Sociologija

Sport

Sport i hobi

Strip

Tableti

Tehnologija

Triler

Turizam

Twitter

Udžbenici

Umetnost

Urbanizam

UX DIZAJN

 

Mašinsko učenje

 

Python Machine Learning By Example

 

Python Machine Learning By Example

Autor: Yuxi (Hayden) Liu
Broj strana: 254
ISBN broj: 9781783553112
Izdavač: PACKT PUBLISHING
Godina izdanja: 2017.

Pregleda (30 dana / ukupno): 40 / 199

Predlog za prevod

  • Twitter
  • Facebook
  • Google plus
  • Linkedin
  • Pinterest
  • Email

 

 

What You Will Learn

  • Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
  • Use Python to visualize data spread across multiple dimensions and extract useful features
  • Dive deep into the world of analytics to predict situations correctly
  • Implement machine learning classification and regression algorithms from scratch in Python
  • Be amazed to see the algorithms in action
  • Evaluate the performance of a machine learning model and optimize it
  • Solve interesting real-world problems using machine learning and Python as the journey unfolds

Book Description

Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning.

This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms – they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques.

Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal.

Authors

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu is currently a data scientist working on messaging app optimization at a multinational online media corporation in Toronto, Canada. He is focusing on social graph mining, social personalization, user demographics and interests prediction, spam detection, and recommendation systems. He has worked for a few years as a data scientist at several programmatic advertising companies, where he applied his machine learning expertise in ad optimization, click-through rate and conversion rate prediction, and click fraud detection. Yuxi earned his degree from the University of Toronto, and published five IEEE transactions and conference papers during his master's research. He finds it enjoyable to crawl data from websites and derive valuable insights. He is also an investment enthusiast.

Table of Contents

Chapter 1: Getting Started with Python and Machine Learning
Chapter 2: Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms
Chapter 3: Spam Email Detection with Naive Bayes
Chapter 4: News Topic Classification with Support Vector Machine
Chapter 5: Click-Through Prediction with Tree-Based Algorithms
Chapter 6: Click-Through Prediction with Logistic Regression
Chapter 7: Stock Price Prediction with Regression Algorithms
Chapter 8: Best Practices

 

Budite prvi koji će ostaviti komentar.

Ostavite komentar Ostavite komentar

 

Preporučujemo

 

Python Machine Learning

1. Python Machine Learning

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

Predlog za prevod

Više o knjizi Više o knjizi

 

Principles of Data Science

2. Principles of Data Science

Learn the techniques and math you need to start making sense of your data

Predlog za prevod

Više o knjizi Više o knjizi

 

Real-Time Big Data Analytics

3. Real-Time Big Data Analytics

Design, process, and analyze large sets of complex data in real time

Predlog za prevod

Više o knjizi Više o knjizi