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Great Saturday Reading

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Featured Resources and Technical Contributions 

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Added by Vincent Granville on August 25, 2018 at 6:45pm — No Comments

Statistical Tests  -  When to use Which ?

For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This blog post is an attempt to mark out the difference between the most common tests, the use of null value hypothesis in these tests and outlining the conditions under which a particular test should be used.

Null Hypothesis and Testing

Before we venture on the difference between different tests, we…

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Added by Vincent Granville on August 22, 2018 at 11:00am — No Comments

Learning to Code AI and Machine Learning

I have been involved in teaching Data Science for a few years now (Oxford University - Data Science for Internet of Things and also online). Over the years, I have tried to improve my teaching .. and adopt ideas from other domains into my teaching

One such technique is Deliberate practice a technique which probably originated in the former Soviet Union to train world class athletes. Deliberate practise is also used in learning complex skills like playing the violin – which require…

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Added by Vincent Granville on August 21, 2018 at 5:01pm — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted recently:

Resources

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Added by Vincent Granville on August 18, 2018 at 8:52pm — No Comments

Combining CNNs and RNNs – Crazy or Genius?

Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this.  However, the latest trends in CNNs may make this obsolete.

There are things that just don’t seem to go together.  Take oil and water for instance.  Both valuable, but try putting them together? 

That was my reaction when I first came across the idea of combining CNNs (convolutional neural…

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Added by Vincent Granville on August 15, 2018 at 3:00pm — No Comments

Graph-based intelligence analysis

For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this article, we explore the possibilities that graph technology is offering for intelligence analysis.

Intelligence collection and analysis in the age of…

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Added by Elise Devaux on August 13, 2018 at 5:30am — 1 Comment

Great Sunday Reading

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

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Added by Vincent Granville on August 12, 2018 at 7:30am — No Comments

How to Stay up-to-date with your AI and ML Knowledge

Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning) can attest to that. AI is a complex and a rapidly evolving field. It’s a challenge to stay up to date with the latest technical details.

Based on my experience, in this post, I discuss how you can stay up to date by learning from the community. From a personal perspective, I work in…

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Added by Vincent Granville on August 9, 2018 at 12:22pm — No Comments

From Strategy to Implementation – Planning an AI-First Company

Summary:  Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company.  Here are some thoughts on moving from strategy to implementation, including some useful tools to help in planning.

Hope you’ve been following our latest series of articles describing and…

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Added by Vincent Granville on August 7, 2018 at 8:00pm — No Comments

22 Differences Between Junior and Senior Data Scientists

What do experienced data scientists know that beginner data scientists don't know? Here is a quick overview.

  1. Automating tasks. Writing code that writes code.
  2. Outsourcing tasks to junior members or to consultants.
  3. Managing people, hiring the right people, managing managers who report to you.
  4. Training colleagues who might not be tech-savvy. Be an adviser for senior managers.
  5. Identifying the right tools and assessing the benefits and minuses of…
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Added by Vincent Granville on August 6, 2018 at 7:00am — No Comments

Top 10 PHP Frameworks for Website Design and Development

PHP, known as the most popular server-side scripting language in the world, has evolved a lot since the first inline code snippets appeared in static HTML files.

These days developers need to build complex websites and web apps, and above a certain complexity level it can take too much time and hassle to always start from scratch, hence came the need for a more structured natural way of development. PHP frameworks provide developers with an adequate solution for that.

Choosing…

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Added by Rajveer Singh Rathore on July 30, 2018 at 4:30am — No Comments

Don’t Let Data Science Become a Scam

Guest blog by Seth Dobrin and Daniel Hernandez.

Companies have been sold on the alchemy of data science. They have been promised transformative results. They modeled their expectations after their favorite digital-born companies. They have piled a ton of money into hiring expensive data scientists and ML engineers. They invested heavily in software…

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Added by Vincent Granville on July 28, 2018 at 10:00am — No Comments

Data Scientist's Book of Quotes

Insights and Advice from Data Science Leaders and Key Influencers. Paperback – July 13, 2018. By Matt Corey.

The Data Scientist’s Book of Quotes includes over 300 insightful and inspiring quotes from the world’s leading Data Science thought leaders and key influencers across the world, including Andrew Ng, Bernard Marr, Vincent Granville, Carla Gentry, Cathy O’Neil and Hilary Mason. The Data Scientist role is one of the most pivotal and disruptive roles in today’s global…

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Added by Vincent Granville on July 26, 2018 at 3:32pm — No Comments

The Death of the Data Scientist

In 2018 Fast Company declared the Data Scientist the best job for the third year in a row, which I wholeheartedly agree with (besides the Director of Fun at the York National Railway Museum), however the role of data scientist, as we know it, will soon have the same fate as the bowling pinsetters, chariot racers, and human alarm clocks.

In 2000-2010 data science was dominated by masters of herculean subjects, with PhDs in linear…

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Added by Vincent Granville on July 12, 2018 at 6:30pm — No Comments

Great Saturday Reading

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

Featured Resources and Technical Contributions

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Added by Vincent Granville on July 7, 2018 at 10:16am — No Comments

Predictive Analytics Concerns

I read Tom Davenport article that he wrote to Harvard Ph.D. students and graduates concerning predictive analytics.  It is a very good article.  The article explores some of the questions that students asked in the Analytics Academy class he teaches each May.   

Since I am not a Harvard student or graduate, I did not give any feedback.  However, the questions are really good and I do have a concern.    

My concern about Predictive Analytics is that if you can predict the…

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Added by Dorothy Hewitt-Sanchez on July 6, 2018 at 10:32am — No Comments

Great Saturday Reading

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

Featured Resources and Technical Contributions

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Added by Vincent Granville on June 30, 2018 at 3:26pm — No Comments

Simple Solution to Feature Selection Problems

We discuss a new approach for selecting features from a large set of features, in an unsupervised machine learning framework. In supervised learning such as linear regression or supervised clustering, it is possible to test the predicting power of a set of features (also called independent variables by statisticians, or predictors) using metrics such as goodness of fit with the response (the dependent variable), for instance using the R-squared coefficient. This makes the process of feature…

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Added by Vincent Granville on June 20, 2018 at 8:36am — No Comments

Great Saturday Reading

Here are our selection of featured contributions posted in the last few days:

Featured Resources and Technical Contributions

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Added by Vincent Granville on June 16, 2018 at 10:00am — No Comments

Top 20 Python libraries for data science in 2018

Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s libraries that proved to be the most helpful at that moment. This year, we expanded our list with new libraries and gave a fresh look to the ones we already talked about, focusing on the updates that have been made during the year.…

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Added by Vincent Granville on June 15, 2018 at 11:57am — No Comments

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