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The difference between Statistics and Data Science: Big Data and Inferential Statistics

This post is based on two insightful threads I read online (References below)

Based on these, I address the question of ‘The difference between Statistics and Data Science’. Traditionally, most people, including me, would say that ‘statistics came first and Data Science builds upon statistics’. This chain of thought is valid but as you see…

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Added by ajit jaokar on February 23, 2020 at 11:49am — No Comments

Weekly Digest, February 24

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. To subscribe, follow this link.  …

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Added by Vincent Granville on February 23, 2020 at 10:30am — No Comments

Likely, unlikely, certain and impossible

I live in Jacksonville, Florida, where the odds of a hurricane on any given day are "improbable". But does that mean I shouldn't stock up on hurricane supplies and have an emergency preparedness plan? Far from it. Hurricane Irma blew through my city in 2017, causing around $85 million in damage and the worst…

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Added by Stephanie Glen on February 21, 2020 at 12:00pm — No Comments

How the Use of Design Thinking Prevents Rushing into Solution Mode

“We are too busy building the solution to bother the customer to identify, validate, value and prioritize their requirements.” – Name not disclosed to protect the ignorant

I see this habit all the time with experienced people; the tendency to jump right into solution mode when dealing with customers. Many of these experienced “experts” have seen the “problem” so many times before, that they just “know” the right solution. Heck, sometimes these “experts” even cut off or…

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Added by Bill Schmarzo on February 21, 2020 at 6:38am — 2 Comments

Thursday News, February 21

Here is our selection of featured articles and technical contributions posted since Monday.

Resources

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Added by Vincent Granville on February 20, 2020 at 12:30pm — No Comments

Regularization in Machine Learning

This article was written by Prashant Gupta.

One of the major aspects of training your machine learning model is avoiding overfitting. The model will have a low accuracy if it is overfitting. This happens because your model is trying too hard to capture the noise in your training dataset. By noise…

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Added by Andrea Manero-Bastin on February 20, 2020 at 6:00am — No Comments

Top 19 Data Science Interview Questions for Beginners

Job interviews make everyone nervous. But this is what they are designed to do. It is the most common medium to assess a candidate’s presence of mind and his/her ability to remain calm and composed in a tense situation.  In order to ace the interview, you need to have in-depth knowledge of the role you are interviewing for and what is expected. Presence of mind and strong subject knowledge assumes added significance when you are preparing for a Data…

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Added by Rahul Dharia on February 20, 2020 at 2:30am — 1 Comment

Popular Programming Languages: 1960 to 2020

In one great video.

Enjoy the video!

Added by Capri Granville on February 19, 2020 at 9:30pm — No Comments

How Machine Learning Is Changing the World

Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rather than explicit programming. This is possible because today a large amount of data is available which lets machines to be trained rather than programmed. It is…

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Added by Vijay Singh on February 18, 2020 at 8:57pm — No Comments

Dataframe Storage Efficiency in Python-Pandas

Summary: It's no secret that Python-Pandas is central to data management for analytics and data science today. Indeed, what we're seeing now is Pandas being extended to handle ever-larger data. Underappreciated is that Pandas is a tunable platform, supporting its own datatypes as well as those from numerical library Numpy. Together, these comprise…

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Added by steve miller on February 18, 2020 at 4:46am — 5 Comments

Drawing Attention to Climate Change With Interactive Generative Art

Finding creatives ways to put climate change in the limelight is essential to motivating the intensity of participation that delivers action. There are different ways to do so – from drawing attention to climate change at major events including …

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Added by Olha Zhydik on February 18, 2020 at 4:30am — No Comments

Cloud Adoption: Myths Enterprises Must Steer Clear Of

Given the rapid pace at which technology around has evolved, there are a lot of changes that companies these days must embrace. Perhaps the most significant, as well as the crucial difference in the context of technologies for business, is the move to the cloud. Yes, companies all over the world are moving their data along with their entire IT operations to the cloud, but why? More than a few reasons come to mind, starting with the most rudimentary benefits: Digital transformation. Cloud…

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Added by Ryan Williamson on February 17, 2020 at 8:34pm — No Comments

Advanced Analytic Platforms – Changes in the Leaderboard 2020

Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become.  Of course there are also some interesting winner and loser stories.

 

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out for 2020.  The really big news is how many excellent choices are now available.  In a remarkable move, the whole field of…

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Added by William Vorhies on February 17, 2020 at 12:19pm — 2 Comments

Which masters or PhD program should I choose for Data Science or Artificial Intelligence?

 

Which masters or PhD course should I choose for Data Science or Artificial Intelligence?

 

This is one of the most common questions I am asked

 

Here is my view – and the usual caveats apply – i.e. the viewpoint is personal and is not associated with any company or institution I am…

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Added by ajit jaokar on February 17, 2020 at 7:12am — No Comments

Driving Stakeholder Engagement with an Interactive Hypothesis Development Canvas

Begin with an end in mind” – Stephen Covey “7 Habits of Highly Effective People”

No truer words have ever been spoken.  A simple phrase that makes everyone’s life easier and more productive.  Our data science team tries to live by that simple phrase, but it’s difficult because we want to jump right into “solution mode” …we have seen so many similar problems, that we already know and understand how to solve that problem.  And that’s an…

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Added by Bill Schmarzo on February 17, 2020 at 5:00am — No Comments

Ability to generalize - A measure of intelligence ?

Knowledge acquisition is about building generalization capabilities. In machine learning world, generalization refer to the model's ability to make accurate predictions from never before seen data. Well generalized models possess intelligence to work on data from new scenarios. This is true for human intelligence also. Children start learning from examples and initially they fail to respond properly to unforeseen situations. Gradually they acquire generalization skills to respond to all… Continue

Added by Janardhanan PS on February 16, 2020 at 9:02pm — No Comments

Weekly Digest, February 17

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. To subscribe, follow this link.  …

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Added by Vincent Granville on February 14, 2020 at 6:30pm — No Comments

IRIS ML Toolkit can now use IntegratedML

IRIS ML Toolkit adds the power of IntegratedML to further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous "manual" pipelines now collaborate within the same analytic process with "auto" pipelines that are based on automation frameworks, such as H2O.…

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Added by Sergey Lukyanchikov on February 14, 2020 at 1:00pm — No Comments

Supervised Learning vs Unsupervised & Semi Supervised in One Picture

Machine learning algorithms learn in three ways: unsupervised, supervised, and semi supervised. This picture illustrates the differences between the three types.

Related Articles

Association…

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Added by Stephanie Glen on February 14, 2020 at 12:30pm — No Comments

You can't containerize an appliance: why Kubernetes and high performance object storage are tech's new building blocks.

There are two forces that are fundamentally remaking the technology landscape today. One is Kubernetes and the other is high performance Object Storage. They are powering (or are shaped by, depending on your perspective) modern, data-rich applications that include AI/ML and application logs. Either way, modern applications need Kubernetes and Object Storage and Kubernetes and Object Storage owe their rise in part to these same modern applications.

They are symbiotic and they are…

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Added by Jonathan Symonds on February 14, 2020 at 10:16am — No Comments

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