Our friends over at DataCamp just came out with a cool new infographic entitled “Become a Data Scientist in 8 easy steps.” This hits home to a lot of people who are trying to enter this new industry hoping to satisfy a lot of unfilled job openings. The question is how best to make this transition. The useful infographic below will help answer this question by outlining the process of becoming a data scientist.
The video presentation below is a highly compelling talk by Stanford University professor and Coursera co-founder, Dr. Andrew Ng. Andrew addresses a graduate summer school audience at UCLA’s IPAM (Institute for Pure & Applied Mathematics) on the topic – Deep Learning, Feature Learning.
Guavus, Inc., a leading provider of big data analytics solutions for operational intelligence, has announced that its Reflex 2.0 platform has been designated a Certified Spark Distribution by Databricks, the company founded by the creators of Apache Spark.
Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark, and O’Reilly Media , a leading voice in Data Science, has announced the launch of the first, global Apache Spark Developer Certification program.
Organizations worldwide are struggling against a severe shortage of workers with analytical expertise and skills to understand and make data-driven marketing decisions. Teradata University Network, in conjunction with Teradata (NYSE: TDC), a leading analytic data platforms, marketing applications and consulting services company, are answering the need by making marketing applications, tools, and curricula freely available to university faculty and students.
Feeling left out because your boss wouldn’t let you attend the Hadoop Summit 2014 happening this week? Not to worry! Here’s a free alternative, especially attractive if you happen to live/work in Los Angeles. The Big Data Camp LA 2014 is a free, all-day conference on Saturday, June 14 hosted at the DirectTV campus near LAX.
Here is a great learning resource for anyone wishing to dive into the field of machine learning – a complete class “Machine Learning” from Spring 2011 at Carnegie Mellon University. The course is taught by Tom Mitchell, Chair of the Machine Learning Department.