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

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[  COVER OF THE WEEK ]

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statistical anomaly  Source

[ FEATURED COURSE]

Introduction to Apache Spark

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Learn the fundamentals and architecture of Apache Spark, the leading cluster-computing framework among professionals…. more

[ FEATURED READ]

The Black Swan: The Impact of the Highly Improbable

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A black swan is an event, positive or negative, that is deemed improbable yet causes massive consequences. In this groundbreaking and prophetic book, Taleb shows in a playful way that Black Swan events explain almost eve… more

[ TIPS & TRICKS OF THE WEEK]

Strong business case could save your project
Like anything in corporate culture, the project is oftentimes about the business, not the technology. With data analysis, the same type of thinking goes. It’s not always about the technicality but about the business implications. Data science project success criteria should include project management success criteria as well. This will ensure smooth adoption, easy buy-ins, room for wins and co-operating stakeholders. So, a good data scientist should also possess some qualities of a good project manager.

[ DATA SCIENCE Q&A]

Q:What is star schema? Lookup tables?
A: The star schema is a traditional database schema with a central (fact) table (the “observations”, with database “keys” for joining with satellite tables, and with several fields encoded as ID’s). Satellite tables map ID’s to physical name or description and can be “joined” to the central fact table using the ID fields; these tables are known as lookup tables, and are particularly useful in real-time applications, as they save a lot of memory. Sometimes star schemas involve multiple layers of summarization (summary tables, from granular to less granular) to retrieve information faster.

Lookup tables:
– Array that replace runtime computations with a simpler array indexing operation

Source

[ VIDEO OF THE WEEK]

#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise

 #FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

What we have is a data glut. – Vernon Vinge

[ PODCAST OF THE WEEK]

@AmyGershkoff on building #winning #DataScience #team #FutureOfData #Podcast

 @AmyGershkoff on building #winning #DataScience #team #FutureOfData #Podcast

Subscribe 

iTunes  GooglePlay

[ FACT OF THE WEEK]

According to execs, the influx of data is putting a strain on IT infrastructure. 55 percent of respondents reporting a slowdown of IT systems and 47 percent citing data security problems, according to a global survey from Avanade.

Sourced from: Analytics.CLUB #WEB Newsletter

Jan 14, 21: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[  COVER OF THE WEEK ]

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Data analyst  Source

[ AnalyticsWeek BYTES]

>> Flexibility Is Improving Diversity In The Workplace by awnewsfeed

>> Guest Service Technology – The Primary Focus of US Hotel & Resort Investment in 2021 by analyticsweekpick

>> The Data Science Pipeline by vinny

Wanna write? Click Here

[ FEATURED COURSE]

Learning from data: Machine learning course

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This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applicati… more

[ FEATURED READ]

Hypothesis Testing: A Visual Introduction To Statistical Significance

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Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause that outcome to be different than the expected baseline. Statistical significance calculations find their … 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:What is POC (proof of concept)?
A: * A realization of a certain method to demonstrate its feasibility
* In engineering: a rough prototype of a new idea is often constructed as a proof of concept

Source

[ VIDEO OF THE WEEK]

Unraveling the Mystery of #BigData

 Unraveling the Mystery of #BigData

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

Data that is loved tends to survive. – Kurt Bollacker, Data Scientist, Freebase/Infochimps

[ 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]

A quarter of decision-makers surveyed predict that data volumes in their companies will rise by more than 60 per cent by the end of 2014, with the average of all respondents anticipating a growth of no less than 42 per cent.

Sourced from: Analytics.CLUB #WEB Newsletter

@ChesterElton on leading with Gratitude Work 2.0 Podcast #FutureofWork #Work2dot0 #Podcast

@ChesterElton on leading with Gratitude Work 2.0 Podcast #FutureofWork #Work2dot0 #Podcast

[youtube https://www.youtube.com/watch?v=frIThML2JNc?feature=oembed&w=850&h=478]

In this podcast Chester Elton from “The Culture Works” talked about his upcoming book: Leading with Gratitude. He shared why gratitude is central to the current leadership environment. He shared how, in the work2.0 environment, soft skills play an essential role in building an influential culture. This podcast is excellent for anyone seeking to learn about a fundamental trait for being a great leader.

Chester’s Book:
The book website: https://leadingwithgratitude.info/pre-order-lwg
The training site: https://www.thecultureworks.com/
Success Magazine: https://www.success.com/6-books-to-help-you-live-your-best-life/

Chester’s Book Recommendation:
How Will You Measure Your Life? by Clayton M. Christensen https://amzn.to/2HlcNch
Elevate: Push Beyond Your Limits and Unlock Success in Yourself and Others (Ignite Reads) by Robert Glazer https://amzn.to/2HekMbd
The Advice Trap: Be Humble, Stay Curious & Change the Way You Lead Forever by Michael Bungay Stanier https://amzn.to/3bqZjdb

Podcast Link:
iTunes: http://math.im/jofitunes
Youtube: http://math.im/jofyoutube

Adrian Gostick and Chester Elton BIO:
Adrian Gostick and Chester Elton have spent more than two decades helping clients engage their employees on strategy, vision, and values. In their provocative, inspiring, and always entertaining talks, they provide real solutions for leaders looking to manage change, drive innovation, and lead multi-generational workforces. Their work is supported by research with more than 850,000 working adults across the globe, revealing the proven secrets behind high-performance cultures and teams.

They are founders of The Culture Works, a global training company and authors of multiple award-winning, #1 Wall Street Journal and New York Times, bestsellers, All In, The Carrot Principle and The Best Team Wins. Their books have been translated into 30 languages and have sold more than 1.5 million copies. They have been called “fascinating” by Fortune and “creative and refreshing” by The New York Times. Gostick & Elton have appeared on NBC’s Today Show, CBS 60 Minutes, and are often quoted in Fast Company, Newsweek, and Wall Street Journal.

Gostick & Elton are members of Marshall Goldsmith’s #MG100 Global Coaches, 2019 Global Gurus in Leadership and Organizational Culture. Elton is a member of Fast Company Impact Council and serves as a board member for Camp Corral, a non-profit for the children of wounded and fallen military heroes.

Some Questions we talked about:

  1. Explain your journey to your current role?
  2. Could you share something about your current position?
  3. What does “The Culture Works” do?
  4. How is culture changing, and what are some of the key takeaways?
  5. What is the definition of an excellent future-proof employee/team/company?
  6. What are some of the ingredients for building a thriving culture in your organization?
  7. What is the underground premise behind “Leading with gratitude”?
  8. Why is gratitude important in successful leadership?
  9. Leaders make tough choices; how does recognition translate in tough circumstances?
  10. Who is the ideal reader of the book?
  11. What are some things people get it wrong about appreciation?
  12. Why write this book?
  13. What are three immediate things I could do to get myself on the road to leading with gratitude?
  14. When do we know we are on the wrong track?
  15. What were some of the big aha moments you encountered while working on this book?
  16. What are some of the examples of some leaders leading with gratitude?
  17. What are some companies that you see as role models when it comes to driving with appreciation?
  18. Who should I hire first if I need to build a robust and high impact organization?
  19. What are some of the takeaways you would expect the readers to walk away with?
  20. What are 1-3 best practices that you think is the key to success in your journey?
  21. Do you have any favorite read?
  22. As a closing remark, what would you like to tell our audience?

About #Podcast:
Work 2.0 Podcast is created to spark the conversation around the future of work, worker, and workplace. The world’s leading practitioners, influencers, authors, academicians, entrepreneurs, and leaders are stepping up to add their thoughts to the conversation. The podcast is created to help professionals navigate their career journeys through transformative times. This podcast invite movers and shakers in the industry who are shaping or helping us understand the transformation in work.

Wanna Join?
If you or any you know wants to join in,
Register your interest by emailing: info@analyticsweek.com

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

The post @ChesterElton on leading with Gratitude Work 2.0 Podcast #FutureofWork #Work2dot0 #Podcast appeared first on Work2.0 Podcast.

Source

Jan 07, 21: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[  COVER OF THE WEEK ]

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Data Accuracy  Source

[ FEATURED COURSE]

Intro to Machine Learning

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Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most stra… more

[ FEATURED READ]

The Industries of the Future

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The New York Times bestseller, from leading innovation expert Alec Ross, a “fascinating vision” (Forbes) of what’s next for the world and how to navigate the changes the future will bring…. more

[ TIPS & TRICKS OF THE WEEK]

Fix the Culture, spread awareness to get awareness
Adoption of analytics tools and capabilities has not yet caught up to industry standards. Talent has always been the bottleneck towards achieving the comparative enterprise adoption. One of the primal reason is lack of understanding and knowledge within the stakeholders. To facilitate wider adoption, data analytics leaders, users, and community members needs to step up to create awareness within the organization. An aware organization goes a long way in helping get quick buy-ins and better funding which ultimately leads to faster adoption. So be the voice that you want to hear from leadership.

[ DATA SCIENCE Q&A]

Q:Examples of NoSQL architecture?
A: * Key-value: in a key-value NoSQL database, all of the data within consists of an indexed key and a value. Cassandra, DynamoDB
* Column-based: designed for storing data tables as sections of columns of data rather than as rows of data. HBase, SAP HANA
* Document Database: map a key to some document that contains structured information. The key is used to retrieve the document. MongoDB, CouchDB
* Graph Database: designed for data whose relations are well-represented as a graph and has elements which are interconnected, with an undetermined number of relations between them. Polyglot Neo4J

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]

You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment. – Alvin Tof

[ PODCAST OF THE WEEK]

#GlobalBusiness at the speed of The #BigAnalytics

 #GlobalBusiness at the speed of The #BigAnalytics

Subscribe 

iTunes  GooglePlay

[ FACT OF THE WEEK]

This year, over 1.4 billion smart phones will be shipped – all packed with sensors capable of collecting all kinds of data, not to mention the data the users create themselves.

Sourced from: Analytics.CLUB #WEB Newsletter

Dec 31, 20: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[  COVER OF THE WEEK ]

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Pacman  Source

[ FEATURED COURSE]

Pattern Discovery in Data Mining

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Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern disc… more

[ FEATURED READ]

Hypothesis Testing: A Visual Introduction To Statistical Significance

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Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause that outcome to be different than the expected baseline. Statistical significance calculations find their … 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 what a long-tailed distribution is and provide three examples of relevant phenomena that have long tails. Why are they important in classification and regression problems?
A: * In long tailed distributions, a high frequency population is followed by a low frequency population, which gradually tails off asymptotically
* Rule of thumb: majority of occurrences (more than half, and when Pareto principles applies, 80%) are accounted for by the first 20% items in the distribution
* The least frequently occurring 80% of items are more important as a proportion of the total population
* Zipf’s law, Pareto distribution, power laws

Examples:
1) Natural language
– Given some corpus of natural language – The frequency of any word is inversely proportional to its rank in the frequency table
– The most frequent word will occur twice as often as the second most frequent, three times as often as the third most frequent…
– The” accounts for 7% of all word occurrences (70000 over 1 million)
– ‘of” accounts for 3.5%, followed by ‘and”…
– Only 135 vocabulary items are needed to account for half the English corpus!

2. Allocation of wealth among individuals: the larger portion of the wealth of any society is controlled by a smaller percentage of the people

3. File size distribution of Internet Traffic

Additional: Hard disk error rates, values of oil reserves in a field (a few large fields, many small ones), sizes of sand particles, sizes of meteorites

Importance in classification and regression problems:
– Skewed distribution
– Which metrics to use? Accuracy paradox (classification), F-score, AUC
– Issue when using models that make assumptions on the linearity (linear regression): need to apply a monotone transformation on the data (logarithm, square root, sigmoid function…)
– Issue when sampling: your data becomes even more unbalanced! Using of stratified sampling of random sampling, SMOTE (‘Synthetic Minority Over-sampling Technique”, NV Chawla) or anomaly detection approach

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with Nathaniel Lin (@analytics123), @NFPA

 #BigData @AnalyticsWeek #FutureOfData #Podcast with Nathaniel Lin (@analytics123), @NFPA

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

The world is one big data problem. – Andrew McAfee

[ PODCAST OF THE WEEK]

Scott Harrison (@SRHarrisonJD) on leading the learning organization #JobsOfFuture #Podcast

 Scott Harrison (@SRHarrisonJD) on leading the learning organization #JobsOfFuture #Podcast

Subscribe 

iTunes  GooglePlay

[ FACT OF THE WEEK]

Estimates suggest that by better integrating big data, healthcare could save as much as $300 billion a year — that’s equal to reducing costs by $1000 a year for every man, woman, and child.

Sourced from: Analytics.CLUB #WEB Newsletter