[ COVER OF THE WEEK ]
[ LOCAL EVENTS & SESSIONS]
- Apr 24, 2018 #WEB Lean Six Sigma Black Belt-4 days Classroom Training in Mississauga
- May 04, 2018 #WEB Free Big Data Hadoop and Spark Bootcamp
- Apr 25, 2018 #WEB Join our FREE WEBINAR: WHAT THE HELL IS SQL?
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
[ FEATURED READ]
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story. Th… more
[ TIPS & TRICKS OF THE WEEK]
Finding a success in your data science ? Find a mentor
Yes, most of us dont feel a need but most of us really could use one. As most of data science professionals work in their own isolations, getting an unbiased perspective is not easy. Many times, it is also not easy to understand how the data science progression is going to be. Getting a network of mentors address these issues easily, it gives data professionals an outside perspective and unbiased ally. It’s extremely important for successful data science professionals to build a mentor network and use it through their success.
[ DATA SCIENCE Q&A]
Q:How to optimize algorithms? (parallel processing and/or faster algorithms). Provide examples for both?
A: Premature optimization is the root of all evil – Donald Knuth
Parallel processing: for instance in R with a single machine.
– doParallel and foreach package
– doParallel: parallel backend, will select n-cores of the machine
– for each: assign tasks for each core
– using Hadoop on a single node
– using Hadoop on multi-node
– In computer science: Pareto principle; 90% of the execution time is spent executing 10% of the code
– Data structure: affect performance
– Caching: avoid unnecessary work
– Improve source code level
For instance: on early C compilers, WHILE(something) was slower than FOR(;;), because WHILE evaluated something and then had a conditional jump which tested if it was true while FOR had unconditional jump.
[ VIDEO OF THE WEEK]
Subscribe to Youtube
[ QUOTE OF THE WEEK]
He uses statistics as a drunken man uses lamp postsfor support rather than for illumination. Andrew Lang
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
Poor data can cost businesses 20%35% of their operating revenue.