Feb 25, 21: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Accuracy check  Source

[ AnalyticsWeek BYTES]

>> Tips to Help Get the Most Value from Data Analytics and Database Support by thomassujain

>> Data Science Models Build on Each Other by analyticsweek

>> Rishad Tobaccowala (@rishad) on restoring the soul of business Work 2.0 Podcast #FutureofWork #Work2dot0 #Podcast by v1shal

Wanna write? Click Here

[ FEATURED COURSE]

Baseball Data Wrangling with Vagrant, R, and Retrosheet

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Analytics with the Chadwick tools, dplyr, and ggplot…. more

[ FEATURED READ]

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

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In the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Mast… more

[ TIPS & TRICKS OF THE WEEK]

Data aids, not replace judgement
Data is a tool and means to help build a consensus to facilitate human decision-making but not replace it. Analysis converts data into information, information via context leads to insight. Insights lead to decision making which ultimately leads to outcomes that brings value. So, data is just the start, context and intuition plays a role.

[ DATA SCIENCE Q&A]

Q:Is it better to have 100 small hash tables or one big hash table, in memory, in terms of access speed (assuming both fit within RAM)? What do you think about in-database analytics?
A: Hash tables:
– Average case O(1)O(1) lookup time
– Lookup time doesn’t depend on size

Even in terms of memory:
– O(n)O(n) memory
– Space scales linearly with number of elements
– Lots of dictionaries won’t take up significantly less space than a larger one

In-database analytics:
– Integration of data analytics in data warehousing functionality
– Much faster and corporate information is more secure, it doesn’t leave the enterprise data warehouse
Good for real-time analytics: fraud detection, credit scoring, transaction processing, pricing and margin analysis, behavioral ad targeting and recommendation engines

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with Dr. Nipa Basu, @DnBUS

 #BigData @AnalyticsWeek #FutureOfData #Podcast with Dr. Nipa Basu, @DnBUS

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

I’m sure, the highest capacity of storage device, will not enough to record all our stories; because, everytime with you is very valuable da

[ PODCAST OF THE WEEK]

#FutureOfData Podcast: Peter Morgan, CEO, Deep Learning Partnership

 #FutureOfData Podcast: Peter Morgan, CEO, Deep Learning Partnership

Subscribe 

iTunes  GooglePlay

[ FACT OF THE WEEK]

Retailers who leverage the full power of big data could increase their operating margins by as much as 60%.

Sourced from: Analytics.CLUB #WEB Newsletter

Understanding Data Analytics in Information Security with @JayJarome, @BitSight – Playcast – Data Analytics Leadership Playbook Podcast

Understanding Data Analytics in Information Security with @JayJarome, @BitSight
Understanding Data Analytics in Information Security with @JayJarome, @BitSight


Understanding Data Analytics in Information Security with @JayJarome

About #Podcast:
#FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join?
If you or any you know wants to join in,
Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor?
Email us @ info@analyticsweek.com

Keywords:
FutureOfData
Data
Analytics
Leadership Podcast
Big Data
Strategy

Originally Posted at: Understanding Data Analytics in Information Security with @JayJarome, @BitSight – Playcast – Data Analytics Leadership Playbook Podcast by v1shal

December 5, 2016 Health and Biotech analytics news roundup

Here’s the latest in health and biotech analytics:

Google’s DeepMind and NHS restart data-sharing deal with greater transparency: Google has announced an agreement with the UK’s National Health Service to develop a mobile app, Streams, which will provide data-driven insights to doctors. There have been concerns about data sharing with past agreements, and Google has promised to implement “an unprecedented level of data security.”

IBM and Pfizer to Accelerate Immuno-oncology Research with Watson for Drug Discovery: Pfizer is looking for drugs that will modify the immune system to fight cancer. Watson will help them find new drug targets by analyzing millions of scientific journal articles, as well as other primary data sources. 

Scientists created a mobile game to help detect the early onset of dementia: In “Sea Hero Quest,” a collaboration between game designers and scientists studying dementia, players do tasks intended to measure their spatial navigation skills. The project has collected 9,500 years of data, which has helped the researchers measure how age, geography, and gender affect these skills.

Mount Sinai Researchers Demonstrate Ability of Machine-Learning Algorithms in Echocardiographic Interpretation and Diagnosis of HCM: Pathological hypertrophic cardiomyopathy (HCM, a thickening of the walls of the heart) is difficult to distinguish from non-pathological cases. The research team trained machine learning algorithms on echocardiograms (heart ultrasounds), which improved on non-automated techniques for diagnosing the condition.

Will Big Data Finally Demystify the Brain and Alzheimer’s?: At the USC Neuroimaging and Informatics Institute, researchers use brain imaging data from all NIH-funded studies on brain disease.. To date, they have found physical changes associated with schizophrenia, depression, and Alzheimer’s disease.

A genome every 12 minutes: The Harvard/MIT Broad Institute recently hosted the Program in Quantitative Genomics Conference. Speakers highlighted the growth in genomes sequenced at the institute (3 per year in 2006 to 75,000 per year today), insights that can be gained from large amounts of sequences, and the pitfalls of relying too much on genetic data.

One Obstacle to Curing Cancer: Patient Data Isn’t Shared: For a variety of reasons, data critical for the development of precision therapies are largely fragmented into inaccessible siloes. There are some government and private efforts to make large, publically available datasets; however there are also opportunities to patients themselves to spur the generation and sharing of data. The Harvard Business School Precision Medicine Accelerator wants to spread knowledge of these opportunities.

Why Scientists Are Sequencing Newborns’ Genomes: Robert Green is leading the BabySeq program, which he hopes will lead to better personalized treatments.

Roanoke Memorial mines patient records to spot trouble early: The hospital uses input from lab tests as well as nurse’s observations to calculate a “Rothman score.” This score can be used to detect when a patient’s condition is starting to deteriorate.

Originally Posted at: December 5, 2016 Health and Biotech analytics news roundup by pstein

Feb 04, 21: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[  COVER OF THE WEEK ]

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Pacman  Source

[ AnalyticsWeek BYTES]

>> A simple way to set up a SparklyR cluster on Azure by analyticsweek

>> The Fate of Data Science: Into the Hands of Many by jelaniharper

>> The five p’s of banking by analyticsweekpick

Wanna write? Click Here

[ FEATURED COURSE]

Data Mining

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Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations… more

[ FEATURED READ]

Introduction to Graph Theory (Dover Books on Mathematics)

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A stimulating excursion into pure mathematics aimed at “the mathematically traumatized,” but great fun for mathematical hobbyists and serious mathematicians as well. Requiring only high school algebra as mathematical bac… more

[ TIPS & TRICKS OF THE WEEK]

Winter is coming, warm your Analytics Club
Yes and yes! As we are heading into winter what better way but to talk about our increasing dependence on data analytics to help with our decision making. Data and analytics driven decision making is rapidly sneaking its way into our core corporate DNA and we are not churning practice ground to test those models fast enough. Such snugly looking models have hidden nails which could induce unchartered pain if go unchecked. This is the right time to start thinking about putting Analytics Club[Data Analytics CoE] in your work place to help Lab out the best practices and provide test environment for those models.

[ DATA SCIENCE Q&A]

Q:Explain Tufte’s concept of ‘chart junk’?
A: All visuals elements in charts and graphs that are not necessary to comprehend the information represented, or that distract the viewer from this information

Examples of unnecessary elements include:
– Unnecessary text
– Heavy or dark grid lines
– Ornamented chart axes
– Pictures
– Background
– Unnecessary dimensions
– Elements depicted out of scale to one another
– 3-D simulations in line or bar charts

Source

[ VIDEO OF THE WEEK]

#FutureOfData Podcast: Peter Morgan, CEO, Deep Learning Partnership

 #FutureOfData Podcast: Peter Morgan, CEO, Deep Learning Partnership

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom. – Clifford Stoll

[ PODCAST OF THE WEEK]

#BigData #BigOpportunity in Big #HR by @MarcRind #JobsOfFuture #Podcast

 #BigData #BigOpportunity in Big #HR by @MarcRind #JobsOfFuture #Podcast

Subscribe 

iTunes  GooglePlay

[ FACT OF THE WEEK]

According to Twitter’s own research in early 2012, it sees roughly 175 million tweets every day, and has more than 465 million accounts.

Sourced from: Analytics.CLUB #WEB Newsletter