Author Archives: Ram Sagar - Page 107

11 Jan

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

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image-1994

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 ML models in finance is unlike any other industries because the decisions taken either pay…

The post Can We Trust k-fold Cross Validation For Financial Modelling? appeared first on Analytics India Magazine.

10 Jan

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

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image-1974

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 degree of belief, which is mathematically defined by belief functions (Bel). Also known as the…

The post What Is Dempster-Shafer Theory And Can It Fill The Void Left By Bayesian Models? appeared first on Analytics India Magazine.

10 Jan

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

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image-1964

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 the data engineers. Twitter has made many adjustments and tweaked their machine learning algorithms for…

The post Here’s How Twitter’s ML Algorithms Rank The ‘Best’ Tweets On Your Timeline appeared first on Analytics India Magazine.

09 Jan

Why Should A Data Science Beginner Know About Eigendecomposition

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image-1944

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 analyst. To calculate the correlation and risk tolerance, the analyst might use a covariance matrix.…

The post Why Should A Data Science Beginner Know About Eigendecomposition appeared first on Analytics India Magazine.

08 Jan

10 Most Popular Statistical Hypothesis Testing Methods Using Python

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image-1898

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 product lifecycle. From cost-cutting to life-saving, hypothesis testing is prevalent in the world of statistics…

The post 10 Most Popular Statistical Hypothesis Testing Methods Using Python appeared first on Analytics India Magazine.

08 Jan

Beginner’s Guide To Latent Dirichlet Allocation

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image-1904

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 derive deep meanings with the help of very few words. For machines, which operate on…

The post Beginner’s Guide To Latent Dirichlet Allocation appeared first on Analytics India Magazine.

07 Jan

What Is The Bootstrap Method In Statistical Machine Learning?

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image-1854

Re-sampling is the method of taking samples iteratively from the original data samples. The method of Re-sampling is a non-parametric method of statistical inference which means that the parametric assumptions that ignore the nature of the underlying data distribution are avoided. Commonly Used Resampling methods: Sampling with and without replacement Bootstrap (using sampling with replacement)…

The post What Is The Bootstrap Method In Statistical Machine Learning? appeared first on Analytics India Magazine.

07 Jan

What Is The Bootstrap Method In Statistical Machine Learning?

image-1855
image-1855

Re-sampling is the method of taking samples iteratively from the original data samples. The method of Re-sampling is a non-parametric method of statistical inference which means that the parametric assumptions that ignore the nature of the underlying data distribution are avoided. Commonly Used Resampling methods: Sampling with and without replacement Bootstrap (using sampling with replacement)…

The post What Is The Bootstrap Method In Statistical Machine Learning? appeared first on Analytics India Magazine.

07 Jan

Here’s What You Need To Know About Confidence Intervals

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image-1870

Testing a proposal or the workability of a design using hypothesis testing is standard practice in the corporate world. Be it changing the user interface on a mobile application or checking a model which is used to diagnose a patient for psychotherapy, the most inexpensive accessible non-human decision maker is the flipping of a coin.…

The post Here’s What You Need To Know About Confidence Intervals appeared first on Analytics India Magazine.

07 Jan

Here’s What You Need To Know About Confidence Intervals

image-1871
image-1871

Testing a proposal or the workability of a design using hypothesis testing is standard practice in the corporate world. Be it changing the user interface on a mobile application or checking a model which is used to diagnose a patient for psychotherapy, the most inexpensive accessible non-human decision maker is the flipping of a coin.…

The post Here’s What You Need To Know About Confidence Intervals appeared first on Analytics India Magazine.