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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

Continue

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

Scale-Invariant Clustering and Regression

The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering problem, can be dramatic. It can result in a totally different cluster structure. Frequently, this is not a desirable property, yet it is rarely mentioned in textbooks. I think all clustering software should state in their user guide, that the algorithm is sensitive to scale.

We illustrate the problem here, and propose a scale-invariant methodology for…

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Added by Vincent Granville on June 9, 2018 at 8:02pm — No Comments

Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.

New article by Bill Vorhies.

Summary:  There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good school assignment, or bail.  It’s not as simple as it seems and here we try to take a more nuanced look.  The result is not as threatening as many headlines make it seem.…

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Added by Vincent Granville on June 7, 2018 at 5:33pm — No Comments

Great Sunday 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 3, 2018 at 4:30pm — No Comments

12 Interesting Reads for Math Geeks

Many data scientists have a passion for mathematics, and many modern math problems can be explored using data science. Below is a selection of interesting articles, many about challenging, deep mathematical problems, by a data scientist who developed math-free algorithms. Some of these articles cover statistical theory and thus belong to…

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Added by Vincent Granville on May 28, 2018 at 11:30am — No Comments

Mathematical Olympiads for Undergrad Students

Mathematical Olympiads are popular among high school students. However, there is nothing similar for college students, except maybe IMC. Even IMC is not popular. It focuses mostly on the same kind of problems as high school Olympiads, and you can not participate if you are over 23 years old. In addition, it is organized by country, as opposed to globally, thus favoring countries with a large population. Topics such as…

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Added by Vincent Granville on May 25, 2018 at 9:00am — No Comments

The First Things you Should Learn as a Data Scientist - Not what you Think

The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a follow up to my article Why logistic regression should be taught last.

I am not sure whether these topics below are even discussed in data camps or college…

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Added by Vincent Granville on May 24, 2018 at 9:15pm — No Comments

20 Questions to Ask Prior to Starting Data Analysis

It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving into analysis:

  1. Who is the…
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Added by Cynthia Clare on May 23, 2018 at 8:30pm — No Comments

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