In this article we will see about Deep Learning, how it is similar to human brains, how does it works and its application.

Today everyone in this world is fascinated by the words Artificial Intelligence, Machine Learning and Deep Learning, no matter what people are doing they want to get…


This is the final part of the series of implementation of Sentiment Analysis. If you haven’t read the Part 2, I would suggest you to read the “Sentiment Analysis of a Youtube Video”. …


Source: https://www.kdnuggets.com/2020/06/5-essential-papers-sentiment-analysis.html

This is the Part 2 of the series of implementation of Sentiment Analysis. If you haven’t read the Part 1, I would suggest you to read the “Sentiment Analysis of a Youtube Video”. In this part we will be cleaning our text data to get meaningful insights.

QUICK RECAP

We are performing…


Source: https://www.kdnuggets.com/2020/06/5-essential-papers-sentiment-analysis.html

This is the Part 1 of the series of implementation of Sentiment Analysis.

QUICK RECAP

In my last article on Natural Language Processing, I mentioned about Sentiment Analysis as some of the frequently used NLP techniques. Let’s deep dive into it.

Sentiment Analysis
Sentiment analysis (or opinion mining) is a natural language processing technique used to interpret and classify emotions in subjective data. …


In this article we will see about Thompson Sampling, it’s algorithm and implementation. There will be also some discussion on Beta Distribution used in Thompson Sampling algorithm.

Multi-Armed Bandit Problem In a Nut Shell

Multi-Armed Bandit Problem is a classical problem in Reinforcement Learning where a gambler walks into casino and gamble his money on multiple single…


In this article we will visualize how UCB algorithm works for Multi-Armed Bandit Problem.

UCB Algorithm in Nutshell

In UCB Algorithm we start exploring all the machines at the initial phase and later when we find the machine with highest confidence bound we start exploiting it to get maximum rewards.

If you want to…


In this article we will discuss the Upper Confidence Bound and its steps of algorithm.

As we have seen in the Multi-Armed Bandits Problem article that we have 5 or more number of slot machines in which we bet our money in such a way that our profits are maximized.


Source: twenty20.com/photos/a55ef51d-58c1–4361-a54d-fd4c3011aa6e

In this article you will understand about Reinforcement Learning, the famous Multi-Armed Bandit Problem, its application and some strategies to solve the problem.

The Multi-Armed Bandit Problem is a very popular problem in Reinforcement Learning. But Hey, what is Reinforcement learning is?

Reinforcement Learning is a type of machine learning…


Before we go into Apriori Algorithm I would suggest you to visit this link to have a clear understanding of Association Rule Learning.

What is Apriori Algorithm?
Apriori Algorithm is one of the algorithm used for transaction data in Association Rule Learning. It allows us to mine the frequent itemset in…

Amit Ranjan

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