What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental.…

Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s…

Many a blogs and articles are written on how to become a Data Scientist. The list normally goes like this

• Study descriptive statistics, hypothesis testing,…

The role of predictive analytics in business

Data is everywhere. We generate data when using…

Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more.

Book…

Across the country, animal shelters work around the clock to help pets get rescued. For the most part, people assume animal adoption is mostly driven by intuition…

Here I list my most interesting contributions published on Data Science Central. My plan is to categorize and aggregate this content to produce a few self-published books. The material below will…

Over 1,000,000 machine learning, AI, analytics and data science practitioners use our resources. Access high quality, relevant and proprietary content found…

R language is a free statistical computing environment; hence there are multiple ways/packages to achieve a particular statistical/quantitative output. I am going to…

Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged.  Temporal Convolutional…