Building a Deep-Learning-Based Movie Recommender System
With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a l...
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Promising Careers for Data Scientist Besides the Data Science Industry
You’re a data scientist, but you didn’t end up in the data science industry. Are you worried about not making it? Fret not, we’ve got multiple career options molded...
Data As Commodity: For Data Science Professional
What is a commodity? Commodity are basic raw materials with certain standards that are used with other goods, commodity are often the basis of the production of various f...
Data Governance: Bottom Up Approach to break silos
Over a period, large organizations have been transformed into disintegrated silos that has grown to be a major impediment to respond to changing market demands with agili...
The Rise and Rise of Price Analytics!
Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix now h...
Common Errors in Machine Learning due to Poor Statistics Knowledge
Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with 10 observations. ...
IoT in Agriculture: A Bonus for All your Farming Activities
How great would it be to monitor your fields remotely through a smart gadget? The Internet of Things is defining the new present and future of the farming world. It is po...
The Next Big Thing in AI/ML is…
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advan...
Adding Uncertainty to Deep Learning
This article was written by Motoki Wu. Full title: How to construct prediction intervals for deep learning models using Edward and TensorFlow. Edward and Tensorflow. Sou...
Math vs. Statistics in One Picture
Math and statistics are vital components of any data scientist’s tool box. While some view statistics as a type of math, the reality is that they are completely dif...