[ COVER OF THE WEEK ]
Insights Source
[ AnalyticsWeek BYTES]
>> House of Cards by analyticsweek
>> Who could be a Startup CEO? Ben Horowitz’s 2 cents by v1shal
>> 21 Must-Read Books for Fintech and Finance Enthusiasts by prasanna
[ FEATURED COURSE]
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[ FEATURED READ]
Superintelligence: Paths, Dangers, Strategies
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[ TIPS & TRICKS OF THE WEEK]
Data Analytics Success Starts with Empowerment
Being Data Driven is not as much of a tech challenge as it is an adoption challenge. Adoption has it’s root in cultural DNA of any organization. Great data driven organizations rungs the data driven culture into the corporate DNA. A culture of connection, interactions, sharing and collaboration is what it takes to be data driven. Its about being empowered more than its about being educated.
[ 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
Faster algorithm:
– 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 âsomethingâ and then had a conditional jump which tested if it was true while FOR had unconditional jump.
Source
[ VIDEO OF THE WEEK]
@AnalyticsWeek Panel Discussion: Finance and Insurance Analytics
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[ QUOTE OF THE WEEK]
He uses statistics as a drunken man uses lamp postsâfor support rather than for illumination. â Andrew Lang
[ PODCAST OF THE WEEK]
@RCKashyap @Cylance on State of Security & Technologist Mindset #FutureOfData #Podcast
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[ FACT OF THE WEEK]
In 2015, a staggering 1 trillion photos will be taken and billions of them will be shared online. By 2017, nearly 80% of photos will be taken on smart phones.