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Featured Blog Posts – November 2018 Archive (73)

Who are the Datascience Professionals? India vs US | Men vs Women

Introduction

This is an analysis of the Kaggle 2018 survey dataset. In my analysis I am trying to understand the similarities and differences between men and women users from US and India, since these are the two biggest segments of the respondent population. The number of respondents who chose something other than Male/Female is quite low, so I excluded that subset as well.

The complete code is available as a …

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Added by Ann Rajaram on November 6, 2018 at 2:39am — 1 Comment

Is It Too Late For Me To Learn Coding?

The short answer is: "No."

Source: LEGO

I started teaching myself programming in my 40s, and I am a strong advocate that everyone should learn to code. Even if you have no intent to become a developer or a full-stack data scientist, coding teaches you a couple valuable lessons:

  • It disciplines you to…
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Added by Rafael Knuth on November 6, 2018 at 2:00am — 2 Comments

Machine Learning with C++ - Faster R-CNN with MXNet C++ Frontend

I published implementation of Faster R-CNN with MXNet C++ Frontend. You can use this implementation as comprehensive example of using MXNet C++ Frontend, it has custom data loader for MS Coco dataset, implements custom target proposal layer as a part of the project without modification MXNet library, contains code for errors checking (Missed in current C++ API), have Eigen and NDArray integration samples. Feel free to leave comments and proposes. The code is available on Github,…

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Added by Kyrylo Kolodiazhnyi on November 5, 2018 at 11:30pm — No Comments

The Best Opportunities in AI for Data Scientists

Summary:  Looking for your next job in an early stage company but want to make sure your startup has staying power.  Follow the expert rankings by CB Insights that also show us the changing trends in how AI startups should be focusing their offerings.

 

Let’s suppose you’re early in your data science career and your credentials…

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Added by William Vorhies on November 5, 2018 at 4:18pm — No Comments

How Lyft, Walmart, and Philips are using AI to transform their businesses

This article is a follow up to my previous one talking about the rise of Artificial Intelligence in an Enterprise. In this article, I will talk about how enterprises in Transportation, Retail and Healthcare are transforming themselves using AI.

Although I talk about specific enterprises here, the use cases are pretty generic and horizontal. The use…

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Added by Vimal N Suba on November 5, 2018 at 3:01pm — No Comments

The Ultimate R Cheatsheet

The Ultimate R Cheatsheet

We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developing at Business Science University). The system is revolutionary for a number of reasons (we’ll get to these in a minute). The cornerstone of our teaching process is the Data Science with R Workflow that was originally taught by Hadley Wickham and Garrett Grolemund in the excellent…

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Added by Matt Dancho on November 5, 2018 at 3:30am — No Comments

Opinion: Is a PhD helpful for a data science career?

The answer to this question is not black and white, and also depends on where you live, what you did during your PhD program, how much time and money you spent on it, what kind of jobs you are interested in, and what other experience you have. You could say the same thing about earning an MBA instead.

If your PhD took place abroad as in my case, you may have not spent much money to earn it (you might even have been well paid.) Depending on your school, it might have been…

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Added by Vincent Granville on November 4, 2018 at 11:30am — 1 Comment

Weekly Digest, November 5

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.

Announcements

  • November 14th, 10:00am CST: Exclusive Insurance Nexus webinar: “…
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Added by Vincent Granville on November 4, 2018 at 7:00am — No Comments

If data science is in demand, why is it so hard to get a job?

Another question recently posted on social networks. Below is my answer, with link to the original post. 

The main reason is the exponential growth of data science candidates, while the growth in job openings, even though exponential as well, is increasing at a lower pace than the number of applicants. In some ways, this is similar to the explosion of PhD people, while the number of jobs for these people is shrinking. One would wonder: why so many people want to get a PhD…

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Added by Vincent Granville on November 2, 2018 at 10:30am — 2 Comments

Keras Application for Pre-trained Model

In earlier posts, we learned about classic convolutional neural network (CNN) architectures (LeNet-5, AlexNet,…

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Added by Muhammad Rizwan on November 2, 2018 at 3:17am — No Comments

Unfolding Naïve Bayes from Scratch

This article was written by Aisha Javed. Below is a summary and table of content, for this long tutorial.

Whether you are a beginner in Machine Learning or you have been trying hard to understand the Super Natural Machine Learning Algorithms and you still feel that the dots do not connect somehow, this post is definitely for you!…

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Added by Andrea Manero-Bastin on November 1, 2018 at 5:30pm — No Comments

Stop Worrying About Your Job—Human Beings are the Biggest Factor in Successful Analytics

AI and machine learning have advanced rapidly over the past few years, and many have suggested that 2019 will be the year for businesses that have waited to finally embrace this new technology. Only 15% of enterprises are currently using AI, but 31% are slated to add it to their strategy over the next 12 months, according to a Digital Trends Report by Adobe. There…

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Added by Jay Bourland on November 1, 2018 at 4:58am — No Comments

The Power of Reframing and the Economics of Starting Pitching

I’m a big fan of Woody Allen’s earlier movies such as “Bananas”, “Sleeper” and especially the award winning “Annie Hall.”  One of the things that always impressed me about Woody Allen was his ability to reframe the conversation in a way that was both provocative and creative. For example in the movie “Annie Hall”, there is a scene where Annie Hall (played by Diane Keaton) and Alvy Singer (played by Woody Allen) are sitting with their respective psychoanalysts when they are both asked…

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Added by Bill Schmarzo on November 1, 2018 at 4:03am — No Comments

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