Data Points

• Chip manufacturer AMD is in talks to acquire…

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.  

Featured Resources and Technical…

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how they are related, with a few examples of each type. 

More info:…

Here is our selection of articles and technical contributions featured on DSC since Monday:

Announcements

• Penn State Master’s in Data Analytics – 100% Online
• eBook: Data Preparation for Dummies

Technical Contributions…

The future of software development will be model-driven, not code-driven.

Now that my 4^th book (“The Economics of Data, Analytics and Digital Transformation”) is in the hands of my publisher, it’s time to get back to work investigating and sharing new learnings.  In this blog I’ll take on the subject of Software 2.0.  And thanks Jens for the push in this direction!

Imagine trying to distinguish a dog from other animals in a photo…

Hello fellow Data Science-Centralists!

I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to).

The main thrust is:

• There is no theoretical reason why a least squares estimator can't work on a 0/1.
• There are very very narrow theoretical reasons that you want to run a logistic, and unless you fall into those categories it's not worth the time.
• The run time of a logistic can be up to…

Introduction

Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. These tuning knobs, the so-called hyperparameters, help us control the behavior of machine learning algorithms when optimizing for performance, finding the right balance between bias and variance. Hyperparameter tuning for performance optimization is an art in itself,…

Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. The science behind machine learning is interesting and application-oriented. Many startups have disrupted the FinTech ecosystem with machine learning as their key technology.

There are various applications of machine learning used by the FinTech companies falling under different subcategories. Let us look at some of the…

Data is the new oil that has been thrown around long enough to render it a cliché by this point. However, that doesn't take away from the fact that data is among the most precious commodities globally and is likely to remain so for a very long time. It is merely because of the information it stands to provide to anyone that cares to use it. This holds for the real estate sector as well. How? Well, much like any other industry, this one too is a goldmine of data. Now that question is about…

With an excellent team of professionals, our website has come up with an absolute solution to all your Sitecore issues. From basics to advance learning, with proper certifications, the Sitecore elearning becomes your parent guide to help you gain your part of understanding, that too very skillfully and without difficulty.   

What does this Sitecore Training help me…

Cloud has been the most significant technology that has enabled the growth of various businesses of all sizes. It offers numerous benefits without paying any additional cost or making new investments in hardware and infrastructure. Companies today generate vast volumes of data and to drive insights out of this Data, they need to inevitably leverage data analytics. Data analytics helps in driving business growth by enhancing their services and gaining a competitive edge. Larger companies can…

At dinner with friends last Sunday, the topic of conversation fixated on -- what else -- the upcoming presidential election. That morning, a poll had been released by the …

COVID-19 is changing consumer behavior and driving more people to shop online. At BigBasket alone, we have witnessed a surge in demand by 5X – 6X during the initial days of the lockdown in India. While the pandemic has driven the global demand for essentials and goods online, it has also brought on some new challenges for the e-commerce industry.

Leveraging artificial intelligence and data science to optimize e-commerce operations

Balancing the…

A data scientist is one of the hottest jobs in the IT industry today. The world needs 5 million data science professionals this year.

With the exponential amount of data being produced and captured, it is logical to say that the demand for data analytics is only going to increase.

Here is our list of Best Data Science Certifications, Courses & Programs for 2020. These…

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.  

Announcement…

Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforcement learning.

The difference between supervised and unsupervised learning is described…

                                           Source…

Knowledge of the basic rules of probability is a must-have for any data scientist. But if you're a visual learner like me, learning the algebraic representations of the 5 basic rules of probability (i.e. P(A) + P(B) = 1) is a challenge. I've never been very good at memorizing formulas, but images stick in my head like ear worms.  Whenever I come across a new formula, I try to make it visual with a picture or doodle. The following picture shows some of the images I created to…