Big Data Science

By Goyo Ambrosio | Magazine for lovers of data science

Data Exploration & Machine Learning, Hands-on

Downloading Data from Google Trends And Analyzing It With R<p>Practical walkthroughs on machine learning, data exploration and finding</b> …

10 Free Must-Read Books for Machine Learning and Data Science

<b>By Matthew Mayo, KDnuggets.</b><p>What better way to enjoy this spring weather than with some free machine learning and data science ebooks? Right? …

Machine Learning

Improve Your Model Performance using Cross Validation (in Python and R)

<i>This article was originally published on November 18, 2015 and updated on April 30, 2018.</i><p>Introduction<p>One of the most interesting and challenging …

Web Traffic

SystemML, the 'SQL for Machine Learning,' Is Now a Top-Level Apache Project

SystemML, the machine-learning technology created at IBM, has reached top-level project status at the Apache Software Foundation.<p>IBM developed …

How data scientists differ from BI data analysts?

A data scientist and BI analyst can take Big Data analytics and data warehousing programs to the next level. They can help in deciphering what the …

How Anaconda's data science platform will help IBM speed up enterprise machine learning adoption

IBM announced that it will offer open data science platform Anaconda on IBM Cognitive Systems. Here's how it could help your business.<p>On Monday, IBM …

Practical advice for analysis of large, complex data sets

By PATRICK RILEY<br>For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, …

How to Get Your First Job in Data Science?

This post is authored by Tomi Mester, Data Analyst &The post How to Get Your First Job in Data Science? appeared first on iamwire.

Data Science

Top 3 machine learning libraries for Python

You don't have to be a data scientist to be fascinated by the world of machine learning, but a few travel guides might help you navigate the vast …

Google gives everyone machine learning superpowers with TensorFlow 1.0 - ExtremeTech

By on February 17, 2017 at 10:30 am<p>This site may earn affiliate commissions from the links on this page. Terms of use.<p>It wasn’t that long ago that …

Mix and match analytics: data, metadata, and machine learning for the win

Creating winning analytics solutions means combining and making the most of different approaches and techniques. Taking a look at how Google does …

Machine Learning

Big Data Coming In Faster Than Biomedical Researchers Can Process It

Biomedical research is going big-time: Megaprojects that collect vast stores of data are proliferating rapidly. But scientists' ability to make sense of all that information isn't keeping up.<p>This conundrum took center stage at a meeting of patient advocates, called Partnering For Cures, in New York …

CERN Tests Data Exploration Using Big Data, Analytics, And The Cloud

For more than half a century, scientists at the CERN particle physics laboratory (more formally, the European Organization for Nuclear Research) have been probing the inner workings of the universe. Today, the organization, which was the birthplace of the World Wide Web, is assessing the potential …

New Course Series: Applied Finance with R

(This article was first published on <b>DataCamp Blog</b>, and kindly contributed to R-bloggers)<p>Interested in a career as a quantitive analyst? Working on a …

Sentiment Analysis with R

What's Sentiment Analysis and why does it matter? Sentiment analysis or opinion mining is the computational study of opinions, sentiments and …

Natural Language Processing

Battle of the Data Science Venn Diagrams

Data science is a rather fuzzily defined field; some of the definitions I've heard are:<br>• "Work that takes more programming skills than most …

TensorFlow for R

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical …

Azure ML Studio now supports Microsoft R Open, Python 3

In Azure ML Studio, you use a browser-based "workbench" tool to flow data through pre-built data munging, machine learning and predictive modeling …

Machine Learning

New R extension gives data scientists easy access to IBM's Watson

Data scientists have a lot of tools at their disposal, but not all of them are equally accessible. Aiming to put IBM's Watson AI within closer reach, …

Programming

4 reasons data scientists are falling in love with bots

Companies have invested over $4 billion to create bots and analyze the resulting data, which is now being generated by millions of users around the globe. Far from being a specialized subset, bot data contains all of the hallmarks of user behavior data that’s been collected since the dawn of the …

Machine Learning

R for Data Science

17 Introduction<p>In this part of the book, you’ll improve your programming skills. Programming is a cross-cutting skill needed for all data science …

Hitchhiker's Guide to Data Science, Machine Learning, R, Python

Originally posted on Data Science Central<p>Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of …

Data Science

Planning After Big Data and the Internet of Things

Peter Gutierrez writes of the disruptive effect of the "Internet of Things" on the practice of planning, writing: "Data from new sources such as …

Microsoft shows how to link Power BI and Azure ML to visualise big data

Microsoft is pushing its analytics credentials by detailing how its platforms can be used together to produce output in a way that chief information …

Power BI

A Complete Tutorial to work on Big Data with Amazon Web Services (AWS)

We use cookies on Analytics Vidhya websites to deliver our services, analyze web traffic, and improve your experience on the site. By using Analytics …

The Best Data Visualizations of the Year Are Absolutely Incredible

The winners of the inaugural Data Stories Competition, which highlights some of the most creative and fascinating scientific data visualizations of …