Ram Sagar
Ram Sagar
57 Articles0 Comments

Ram holds a master's degree in Robotics.He likes to read and is always intrigued about how things work.

How Asian Drugmakers Are Imbibing Machine Learning Into Their Frameworks

Small molecule discovery, binding affinity prediction and medical prescription are the three fields which artificial intelligence seems to have invaded in the pharmaceutical space. In this article, we will take a look at the key pharma companies in the east,…

How Is An Algorithm Designed? Here’s The Thought Process Behind It

If we said that your day began and ended with an algorithm, it would still be an understatement. From turning off eerie chimes of alarm clocks to pulling down the curtains after binge-watching Netflix, modern man is under a deluge…

Can You Always Bet Big On Machine Learning?

Machine learning sure is an umbrella word for many methodologies and tools but one must be clear about the fact that it is not an umbrella word for all the solutions. No one can deny that machine learning has revolutionised…

11 YouTube Channels Every AI Aficionado Must Follow

Right now we are in the middle of one of the greatest transformations of pedagogical practices in the history of mankind. The Internet is to modern man what printing press was to the Renaissance era. Making information easily accessible is…

Can We Trust k-fold Cross Validation For Financial Modelling?

Machine learning is not a buzzword anymore, at least not in the case of financial modelling. Fraud prevention, algorithmic trading, digital assistants and risk management are some of the areas where machine learning has found its niche. The application of…

What Is Dempster-Shafer Theory And Can It Fill The Void Left By Bayesian Models?

Introduced by Arthur P Dempster and developed by Glenn Shafer, the Dempster-Shafer theory was designed to mathematically model and validate the uncertainty involved in statistical inferences. This theory allows one to combine evidence from different sources and arrive at a…

Here’s How Twitter’s ML Algorithms Rank The ‘Best’ Tweets On Your Timeline

With over 300 million active users monthly, the amount of data that gets generated on Twitter is huge. Handling this torrential data and making sure that the user doesn’t miss out on any important tweets is a challenging job for…

Why Should A Data Science Beginner Know About Eigendecomposition

Suppose there are a  string of assets whose value needs to be assessed based on the risk factors. These risk factors usually are correlated. To ensure profitability with a tolerable level of risk is the primary goal of a risk…

10 Most Popular Statistical Hypothesis Testing Methods Using Python

Decision making and storytelling are two important facets of a data scientist’s job description. Models can be tweaked and computational powers can be pumped up. But to choose a certain test or a method, will have great implications on the…

Beginner’s Guide To Latent Dirichlet Allocation

It is relatively easy for humans to learn a language. With years of practice subconsciously, we pick up nuances and stack up to the sophistication with the help of localised cultural cues. We have this complex mechanism where we meticulously…

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