FREE eBook: “Analyzing the Analyzers” An Introspective Survey of Data Scientists and Their Work By Harlan Harris, Sean Murphy, Marck Vaisman Publisher: O’Reilly There has been intense excitement in recent Read More
Machine learning is a subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions (wikipedia).
If you are thinking of doing or becoming a Data Scientist or Advanced Analytics professional, you will absolutely need to master Machine Learning. These 100 Most Popular Talks on Machine Learning topics are a great resource to learn. Review List
Amid the big data boom, the in-memory database market will enjoy a 43 percent compound annual growth rate (CAGR) – leaping from $2.21 billion in 2013 to $13.23 billion in 2018, predicts Markets and Markets, a global research firm Gartner.
What’s driving that demand? Simply put, in-memory databases allow real-time analytics and situation awareness on “live” transaction data – rather than after-the-fact analysis on “stale data,” notes a recent Gartner market guide. Here are 19 in-memory database options mentioned in that Gartner market guide. Read More
Read about 10 Big Data Case Studies | by NATHAN GOLIA, CHRIS MCMAHON
These 10 insurance companies developed cross-enterprise big data strategies, hired the right data scientists and staff members, and delivered impressive results. READ MORE
Apache Spark’s popularity as part of big data analytics solutions is exploding. Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!
Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Spark Videos…
More learning “Will Hunting” style, take a view at this FREE VIDEO course at MIT: Introduction to Algorithms. Take note of the prerequisites.
Lecture #1 has had over 450,000 views. Read More…”
You can always tell when you are listening to someone who knows what they are talking about. In this Edu-video, Charles Martin, an excellent Chief Scientist with over 15 years of ground breaking data science experience with top firms, talks to a class at Cal Berkeley’s Haas Business School. Given the audience, it’s less techie and very practical in nature. Enjoy! Read More
Cool company alert! SkilledUp, which bills itself as an “education reformer” was built to help you find online courses, gain and increase your skills and prove your worth to employers.
Call it a public service, call it amazing – they call it transforming education. See their complete LIST of DATA SCIENCE Bootcamps & Fellowships! Read More
You’ve never seen data presented like this. With the drama and urgency of a sportscaster, statistics guru Hans Rosling debunks myths about the so-called “developing world.” Watch Video”
A Masters in Data Science “Will Hunting Style”. More and more people are learning on-line via the flood of excellent “open source” resources of classes, ebooks, software, etc. Clare Corthell has created a website to allow anybody to take virtually the same curriculum offered for a Masters in Data Science for Free.
Will it be an official Masters? No. But an official Masters is not what is needed, it’s knowledge and experience working with the tools and techniques necessary to actually do Data Science. For some, this free curriculum will allow business-line leaders, Analysts and Programmers from other fields to fill in the education gaps and get better at their job, as well as, one step closer to being an actual Data Scientist. Read More
It’s baseball season! Facebook has released its annual fandom map, color-coding each U.S. county and Canadian census division by which baseball team has the most “likes”. What happened to White Sox fans? See a data visualization and quick analysis by DeadSpin. Read More