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Tag: Tools & Frameworks
How to implement discrete convolution on a 2D dataset
This article is an excerpt from the book by Rodolfo Bonnin titled Machine Learning for Developers.
Surprisingly the question frequently asked by developers across the...
Top 6 Java Machine Learning/Deep Learning frameworks you can’t miss
The data science tech market is buzzing with new and interesting Machine Learning libraries and tools almost everyday. In an increasingly growing market, it...
What are Slowly changing Dimensions (SCD) and why you need them...
Below given post is an excerpt from a book by Rahul Malewar titled Learning Informatica PowerCenter 10.x. The book is a quick guide to...
Implementing Linear Regression Analysis with R
This article is from the book Advanced Analytics with R and Tableau, written by Jen Stirrup & Ruben Oliva Ramos. The book offers a...
Implementing Deep Learning with Keras
The following excerpt is from the title Deep Learning with Theano, Chapter 5 written by Christopher Bourez. The book offers a complete overview of...
Basics of Spark SQL and its components
Below given is an excerpt from the book Learning Spark SQL by Aurobindo Sarkar. Spark SQL APIs provide an optimized interface that helps developers...
Understanding Streaming Applications in Spark SQL
This article is a book excerpt from Learning Spark SQL written by Aurobindo Sarkar. This book gives an insight into the engineering practices used...
4 popular algorithms for Distance-based outlier detection
The article is an excerpt from our book titled Mastering Java Machine Learning by Dr. Uday Kamath and Krishna Choppella.
This book introduces you to...
Getting started with Machine Learning in H2O
We present to you an excerpt from our book by Dr. Uday Kamath and Krishna Choppella titled Mastering Java Machine Learning. This book aims...
Getting to know TensorFlow
The following book excerpt is from the title Machine Learning Algorithms by Guiseppe Bonaccorso. The book describes important Machine Learning algorithms commonly used in...