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Three Articles Not To Miss

Non-traditional strategies for mid-career switch to Data Science and AI 

In this post, I explore strategies to switch to Data Science mid-career. This switch is not easy, but based on the experience of many who I have taught/mentored/recruited – it is possible. Most people consider PhD/MooC etc for switching their career to Data Science. But here, I will explore some non-traditional/unorthodox ways of switching to Data Science. …

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Added by Vincent Granville on October 20, 2017 at 12:10pm — No Comments

100+ Commonly Asked Data Science Interview Questions

Here is a new set of easy questions recently published, covering

  • Statistics
  • Programming (General, Big Data, Python, R, SQL)
  • Modeling
  • Behavioral
  • Culture Fit
  • Problem-Solving

Click here to read these questions (some found on Quora), and some answers.

Many list of questions have been…

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Added by Vincent Granville on October 15, 2017 at 7:30pm — No Comments

Predictive Analytics Takes a Victory Lap

Summary:  Over the last eight years predictive analytics has become a fully mature technology with wide adoption among the largest and most successful companies.  The Advanced Analytic Platforms we have to make our work more effective and efficient also show substantial improvement.

Predictive analytics combines the core disciplines of data science to do the everyday heavy lifting of predicting consumer behavior and forecasting future values, plus a lot of other…

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Added by Vincent Granville on October 15, 2017 at 2:14pm — No Comments

Predictive Analytics Takes a Victory Lap

Summary:  Over the last eight years predictive analytics has become a fully mature technology with wide adoption among the largest and most successful companies.  The Advanced Analytic Platforms we have to make our work more effective and efficient also show substantial improvement.

Predictive analytics combines the core disciplines of data science to do the everyday heavy lifting of predicting consumer behavior and forecasting future values, plus a lot of other…

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Added by Vincent Granville on October 15, 2017 at 2:00pm — No Comments

What Kind of OLAP Do We Really Need?

The narrow-sensed OLAP

OLAP is part and parcel of a BI application. As the name suggests, the word is an acronym for online analytical processing. Users, frontline employees, to be precise, are responsible for performing various types of data processing online.  

But, the concept of OLAP tends to be used in a very narrow sense. It has almost become an equivalence of multidimensional analysis. Based on a prebuilt data cubic, the analysis performs summarization…

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Added by JIANG Buxing on October 9, 2017 at 4:00am — No Comments

Some Thoughts on Mid-Career Switching Into Data Science

Summary:  If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey.

We get lots of inquiries from readers asking for career advice and many of these identify as mid-career looking to switch into data science.  If you’re in this group you face some of the same challenges beginners do but also some that are unique to your circumstance.  Here are some thoughts and observations that may be…

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Added by Vincent Granville on October 6, 2017 at 11:00am — No Comments

Interesting Problem: Self-correcting Random Walks

Section 3 was added on October 11. Section 4 was added on October 19.  An award will be offered to solve any of the open questions (announcement coming soon.)

This is another off-the-beaten-path problem, one that you won't find in textbooks. You can solve it using data science methods (my approach) but the mathematician with some spare time could find an elegant solution. Share it with your colleagues to see how math-savvy they are, or with your students. I was able to make…

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Added by Vincent Granville on October 4, 2017 at 2:00pm — 5 Comments

Free Book: Probability and Statistics Cookbook

The format is very similar to a BIG cheat sheet. This cookbook integrates a variety of topics in probability theory and statistics. It is based on literature and in-class material from courses of the statistics department at the University of California in Berkeley but also influenced by other sources . …

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Added by Vincent Granville on October 2, 2017 at 7:30pm — No Comments

9 Off-the-beaten-path Statistical Science Topics with Interesting Applications

You will find here nine interesting topics that you won't learn in college classes. Most have interesting applications in business and elsewhere. They are not especially difficult, and I explain them in simple English. Yet they are not part of the traditional statistical curriculum, and even many data scientists with a PhD degree have not heard about some of these concepts.…

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Added by Vincent Granville on October 2, 2017 at 1:43pm — No Comments

Why Analytics Projects Fail – And It’s Not The Analytics!

Being in a highly technical, complex field it is easy to sometimes lose the ‘human aspect’ of the solutions we are developing. We focus on apply edge computing concepts, or whether a seasonality model works better for our predictive accuracy than some other approach. Don't get me wrong, these are all important activities. However, in working with many firms in developing, deploying and supporting advanced analytics solutions, particularly in the domain of the Industrial IoT space, it’s often…

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Added by Ed Crowley on September 26, 2017 at 3:00pm — No Comments

Audience is The Future Business Model, Data Analytics Can Improves It

Companies and enterprises are facing a daily grind, while they are also required to see to it that their customers are happy & satisfied, operations is efficient and employees are satisfied; and all this makes running the business – a real challenge. “Audience is the new business model”, and if any organization is struggling miserably to communicate with customers or their audience, there certainly is a negative impact of it across the business plan,…

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Added by Chirag Shivalker on September 26, 2017 at 12:30pm — No Comments

Great Saturday Reading

Here is our selection of articles and resources featured in the last few days:

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Added by Vincent Granville on September 23, 2017 at 1:41pm — No Comments

Can you solve these mathematical / statistical problems?

I recently posted an article featuring a non traditional approach to find large prime numbers. The research section of this article offers interesting challenges, both for data scientists interested in mathematics, and for mathematicians interested in data science and big data. My approach is data, pattern recognition, and machine learning heavy. Here is the introduction:

Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to…

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Added by Vincent Granville on September 21, 2017 at 9:00pm — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources published in the last few days:

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Added by Vincent Granville on September 16, 2017 at 11:48am — No Comments

Great Sunday Reading

Here is our list of featured articles and resources posted in the last few days:

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Added by Vincent Granville on September 9, 2017 at 4:22pm — No Comments

Building Convolutional Neural Networks with Tensorflow

In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, using tensorflow. Later on we can use this knowledge as a building block to make interesting Deep Learning applications.

The pictures here are from the full article. Source code is also provided.…

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Added by ahmet taspinar on September 7, 2017 at 7:30am — No Comments

A Day in the life of an Analyst

A typical day in the life of an Analyst

An Analyst works on varied projects with multiple deliverables and varied duties depending on the business objectives.

However there are some tasks that can be easily classified as “common everyday duties” in a “typical work day of a business analyst”

Clarification and…

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Added by Ivy Pro School on September 3, 2017 at 2:00pm — No Comments

Great Sunday Reading

Here is our list of recently featured articles and resources. The most recent are at the top.

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Added by Vincent Granville on September 3, 2017 at 11:46am — No Comments

Overpromising and Underperforming: Understanding and Evaluating Self-service BI Tools

From the OLAP concept in earlier years to the agile BI over the last few years, BI vendors never stop advertising the self-service capability, claiming that business users will be able to perform analytics by themselves. Since there are strong self-service needs among users, the two really hit it off and it is very likely that a quick deal is made. The question is - does a BI product’s self-service functionality enable a truly flexible data analytics by business users?

There isn’t a…

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Added by JIANG Buxing on August 31, 2017 at 12:00am — 1 Comment

Python Overtakes R for Data Science and Machine Learning

This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications. 

Some statistics

We have 83 fresh, active job ads, relevant to data science and mostly in US and London, for Python: …

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Added by Vincent Granville on August 30, 2017 at 7:30pm — No Comments

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