Snapping Turtle Aquarium Setup

Viewer Rating [Total: 2   Average: 4.5/5]Good evening friends, I hope you are fit and fine in this Covid situation. Today, I thought of writing something very interesting on pets which shall entertain you and everyone else in this hobby. I am sharing my personal experience on how to keep a Snapping Turtle inside the house. First of … Read more Snapping Turtle Aquarium Setup

Turtle tank setup and maintenance guide

Viewer Rating [Total: 3   Average: 4.7/5]Hello friends! I hope you are all doing well. For a long time I have been thinking of writing something different on pet hobbies. For the last 1 year, I have been busy in turtle keeping and it has been a very engrossing and fascinating experience. Rules: The pictures shown above are … Read more Turtle tank setup and maintenance guide

Artificial Neural Network – Regularization

Viewer Rating [Total: 2   Average: 5/5]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 back, when we have less predictors to predict something. But in the era of Big data, we … Read more Artificial Neural Network – Regularization

Artificial Neural Network – Forward and Backward Propagation

Viewer Rating [Total: 3   Average: 5/5]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, first of all we shall decide our neural network layer number. Let’s say 2. … Read more Artificial Neural Network – Forward and Backward Propagation

Artificial Neural Network – Activation Function

Viewer Rating [Total: 4   Average: 4.8/5]Today’s topic is Activation functions of ANN. Let me list out the most common activation functions. Sigmoid function . ReLU ( Rectified linear unit). Tanh Leaky ReLU. Let’s start the discussion with a simple example: If we try to predict house price then which function can we use? If we use sigmoid … Read more Artificial Neural Network – Activation Function

Artificial Neural Network – Introduction

Viewer Rating [Total: 4   Average: 4.8/5]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 ? On the left , let me show you a very simple picture of a human … Read more Artificial Neural Network – Introduction

Basics of Statistics – Hypothesis

Viewer Rating [Total: 1   Average: 5/5]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 statistics , we explain hypothesis in two ways: When we have something already defined, we shall put the … Read more Basics of Statistics – Hypothesis

Basics of Statistics – Continuous Probability Distribution

Viewer Rating [Total: 0   Average: 0/5]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 outcomes: Head and Tail. If I roll a die, then it always return a digit (1 … Read more Basics of Statistics – Continuous Probability Distribution

Basics of Statistics – Binomial Distribution

Viewer Rating [Total: 1   Average: 5/5]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 model the probability of obtaining one of two outcomes, a certain number of times k out of fixed number of trials N of … Read more Basics of Statistics – Binomial Distribution

Basics of Statistics – Discrete Variable Distribution

Viewer Rating [Total: 1   Average: 5/5]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 rolling a Die, let us assume a random variable X (x=1,2,3,4,5,6). The probability is P(x) =1/6. That is exactly … Read more Basics of Statistics – Discrete Variable Distribution