21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!)
Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to …
Spark
6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python)
Overview Which programming language should you pick for data science? Here’s a list of 6 powerful ones that are not Python or R These …
Ultimate guide to handle Big Datasets for Machine Learning using Dask (in Python)
Dask is a parallel computing python library that can run across a cluster of machines. This article includes a look at Dask Array, Dask Dataframe & Dask ML.
Databricks and RStudio Launch Platform to make R Simpler than Ever for Big Data Projects!
Overview Databricks and RStudio have partnered up to make Big Data tasks easier for data scientists and data engineers The unified platform is provided …
Pandas on Ray – A Library to Make Pandas Faster with Just One Line of Code
Overview Pandas on Ray is a library that makes the Pandas library significantly faster It only requires just one line of code in the …
30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016
Introduction 2016 has been the year of “Machine Learning and Deep Learning”. We have seen the likes of Google, Facebook, Amazon and many more …
Medium.com – Top 14 handles & publications to follow for Data Science
Introduction Medium is an awesome product! The easy interface, no distraction and high readability are some of the drivers of popularity of Medium. I …
Complete Guide on DataFrame Operations in PySpark
Overview Learn about DataFrames on the PySpark API DataFrames are a handy data structure for storing petabytes of data PySpark dataframes can run on …
Using PySpark to perform Transformations and Actions on RDD
Introduction In my previous article, I introduced you to the basics of Apache Spark, different data representations (RDD / DataFrame / Dataset) and basics …
Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)
Introduction Industry estimates that we are creating more than 2.5 Quintillion bytes of data every year. Think of it for a moment – 1 Qunitillion …
