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Mašinsko učenje

Ukupno: 36, strana 2 od 2

Machine Learning with TensorFlow

Machine Learning with TensorFlow

Saif Ahmed

Godina izdanja: 2017.
Strana: 301,
Predlog za prevod

Tackle common commercial machine learning problems with Google’s TensorFlow library and build deployable solutions
 
 
Python Machine Learning By Example

Python Machine Learning By Example

Yuxi (Hayden) Liu

Godina izdanja: 2017.
Strana: 254,
Predlog za prevod

Take tiny steps to enter the big world of data science through this interesting guide
 
 
Effective Amazon Machine Learning

Effective Amazon Machine Learning

Alexis Perrier

Godina izdanja: 2017.
Strana: 306,
Predlog za prevod

Learn to leverage Amazon's powerful platform for your predictive analytics needs
 
 
Python Machine Learning

Python Machine Learning

Sebastian Raschka

Godina izdanja: 2017.
Strana: 454,
Predlog za prevod

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.
 
 
Practical Machine Learning Cookbook

Practical Machine Learning Cookbook

Atul Tripathi

Godina izdanja: 2017.
Strana: 570,
Predlog za prevod

Building Machine Learning applications with R
 
 
Learning Apache Spark 2

Learning Apache Spark 2

Muhammad Asif Abbasi

Godina izdanja: 2017.
Strana: 356,
Predlog za prevod

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics
 
 
Practical Machine Learning

Practical Machine Learning

Sunila Gollapudi

Godina izdanja: 2016.
Strana: 468,
Predlog za prevod

This book has been created for data scientists who want to see machine learning in action and explore its real-world application. With guidance on everything from the fundamentals of machine learning and predictive analytics to the latest innovations set to lead the big data revolution into the future, this is an unmissable resource for anyone dedicated to tackling current big data challenges. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately.
 
 
Real-Time Big Data Analytics

Real-Time Big Data Analytics

Sumit Gupta, Shilpi

Godina izdanja: 2016.
Strana: 326,
Predlog za prevod

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

Big Data Analytics

Venkat Ankam

Godina izdanja: 2016.
Strana: 326,
Predlog za prevod

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters
 
 
Mastering Scala Machine Learning

Mastering Scala Machine Learning

Alex Kozlov

Godina izdanja: 2016.
Strana: 310,
Predlog za prevod

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
 
 
Python Machine Learning Cookbook

Python Machine Learning Cookbook

Prateek Joshi

Godina izdanja: 2016.
Strana: 304,
Predlog za prevod

100 recipes that teach you how to perform various machine learning tasks in the real world
 
 
Designing Machine Learning Systems with Python

Designing Machine Learning Systems with Python

David Julian

Godina izdanja: 2016.
Strana: 232,
Predlog za prevod

Design efficient machine learning systems that give you more accurate results
 
 
R Machine Learning By Example

R Machine Learning By Example

Raghav Bali, Dipanjan Sarkar

Godina izdanja: 2016.
Strana: 340,
Predlog za prevod

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
 
 
Mastering .NET Machine Learning

Mastering .NET Machine Learning

Jamie Dixon

Godina izdanja: 2016.
Strana: 358,
Predlog za prevod

Master the art of machine learning with . NET and gain insight into real-world applications
 
 
Machine Learning in Java

Machine Learning in Java

Boštjan Kaluža

Godina izdanja: 2015.
Strana: 227,
Predlog za prevod

If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary.
 
 
MATLAB for Machine Learning

MATLAB for Machine Learning

Giuseppe Ciaburro

Godina izdanja: 1970.
Strana: 382,
Predlog za prevod

Extract patterns and knowledge from your data in easy way using MATLAB
 
 
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