# Arijit Pal

• Very Informative

• A complete guide in one article .Awesome and very informative .

• Thanks for the information.

• Never thought like before. Wonderful article.

• Today I want to talk about the most common issue in deep and machine learning problem and that is overfitting and underfitting issue.

In case of underfitting, it was a problem in machine learning centuries […]

• Let’s start the discussion on Forward Propagation in ANN.

I will try to explain it in a very simple way. If you have any difficulty to understand then please let me know in the below comment section.

Well, […]

• Well explained.

• Arijit Pal commented on the post, Heart 9 months, 3 weeks ago

Peaceful …

• Today’s topic is Activation functions of ANN.

Let me list out the most common activation functions.

Sigmoid function .ReLU ( Rectified linear unit).TanhLeaky ReLU.

Let’s start the discussion with a […]

• Today, I want to discuss about a very important algorithm in Machine learning (or you can say the heart of Deep learning) and that is ANN or Artificial Neural Network.

Where did the concept come from […]

• Well explained.

• Wow.. this is some real learning stuff.. thanks!!

• Thanks .

• Interesting.

• Proud to be an Indian ..

• Today, I want to discuss on a very important topic on inferential statistics area and that is “Hypothesis”. Hypothesis means a conclusion based on some evidence collected from data for a certain time. In […]

• Let us start today’s topic on uniform probability distribution (I will discuss on continuous dist today).Now, the concept comes in two forms: discrete and continuous. If I toss a coin then there are two possible […]

• Today, I would like to extend my previous topic on discrete probability distribution with the concept of Binomial Distribution.

A binomial distribution is a specific probability distribution. It is used to m […]

• In today’s topic I want to explain how we plot the distribution of a random discrete variable.

Key terms: expected mean, probability, variance and standard deviation.

Let’s explain it by an example. For […]

• Wonderful thought and explanation.

• Today’s topic is random variable. It is better to start with an example: Suppose I roll a die. What are the probable outcomes? Exactly 1 or exactly 2 or exactly 3 or exactly 4 or exactly 5 or exactly 6.No number […]

• Nice!

• In statistics, a sample is a part of a population and a population is a whole; it’s every member of a group.Sometimes it’s not possible to survey every member of a group. So we need to collect the output and con […]

• Well explained.

• Let’s start today’s discussion on product recommendation system. Key points as apart of Exploratory Data Analysis: Collect data from source in csv or excel format or in a database.Make sure the customer and […]