Thomas Bayes was an English statistician. As Stigler states, Thomas Bayes was born in 1701, with a probability value of 0.8! (link). Bayes' theorem has a useful application in machine learning. His papers were published by his friend, after his death. It is also said that his friend has used the theorem to prove existence of God.

Learning the Machine Learning, in a Human-friendly Way

### Support Vector Machines (SVM) Explained with Visual Illustrations

Suppose there are two independent variables (features): x1 and x2. And there are two classes Class A and Class B. The following graphic shows the scatter diagram.

### Logistic Regression: A Beginner's Visual Guide

Logistic regression is a supervised learning technique applied to classification problems.

In this post, let us explore:

In this post, let us explore:

- Logistic Regression model
- Advantages
- Disadvantages
- Example
- Hyperparemeters and Tuning

### Building a Deep Learning Model using Keras

In this post, let us see how to build a deep learning model using Keras. If you haven't installed Tensorflow and Keras, I will show the simple way to install these two modules.

### Mastering the Basics of Deep Learning with Illustrations

Deep learning is a powerful machine learning technique. These are widely used in

- Natural Language Processing (NLP)
- image/speech recognition
- robotics
- and many other artificial intelligence projects

### ARIMA/SARIMA with Python: Understand with Real-life Example, Illustrations and Step-by-step Descriptions

Autoregressive Integrated Moving Average (ARIMA) is a popular time series forecasting model. It is used in forecasting time series variable such as price, sales, production, demand etc.

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## Popular Posts

- ARIMA/SARIMA with Python: Understand with Real-life Example, Illustrations and Step-by-step Descriptions
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