May 2016
Intermediate to advanced
432 pages
11h 16m
English
Content preview from Machine Learning For Dummies
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Chapter 22
Ten Machine Learning Packages to Master
IN THIS CHAPTER
Analyzing live-streaming data using Cloudera Oryx
Recognizing objects in images using CUDA-Convnet
Adding image recognition to web-based apps using ConvNetJS
Obtaining an R SVM implementation using e1071
Adding R GBM optimization support using gbm
Performing natural language interface tasks using Gensim
Creating a generalized linear model using glmnet
Growing a forest of R decision trees using randomForest
Performing scientific tasks of all sorts in Python using SciPy
Obtaining GBDT, GBRT, and GBM support for a variety of languages with XGBoost
The book provides you with a wealth of information about specific machine learning packages such as caret (R) and NumPy (Python). Of course, these are good, versatile packages you can use to begin your machine learning journey. It’s important to have more than a few tools in your toolbox, which is where the suggestions found in this chapter come into play. These packages provide you with additional machine learning insights and capabilities. Even though there are many other packages available on the market, these packages will give you some ideas of where to go next and make it easier to explore other packages as well.
Cloudera Oryx
Cloudera Oryx is a machine learning project for Apache Hadoop (http://hadoop.apache.org/) that provides you with a basis for performing machine learning tasks. It emphasizes the use of live data streaming. This product ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.