Feature Extraction: Find x corresponding to an entity/item (such as an image, web page, ECG etc.). Let us denote by f(x) Classification: Find a parameterized function which can make the right predictions. It is said that all machine learning problems are essentially this abstraction: Y = F(x) Where -Y is…

Building a simple Convolutional Neural Network using mnist data set to recognize handwritten digits. — Dataset: MNIST (“Modified National Institute of Standards and Technology”) is the de facto “Hello World” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. …

Overfitting- Here is a reason why you do not want your machine learning model to get 100% accuracy on training data that is…Overfitting!!! A model overfits when it simply memorizes the data, e.g. a curve that fit through every training data. If the overfitted model is tested on the training…

I explain how to implement k Nearest Neighbors classifier on IRIS dataset. from sklearn.datasets import load_iris iris = load_iris() # Storing the data and labels into "X" and "y" varaibles X = iris.data y = iris.target Here I use the IRIS dataset which I import from SciKit learn. IRIS dataset…

A brief explanation of how to do train-test split of a dataset using sklearn — To train any machine learning model irrespective what type of dataset is being used you have to split the dataset into training data and testing data. So, let us look into how it can be done? Here I am going to use the iris dataset and split it using the…

Reinforcement learning is an area of Machine Learning. It is about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behaviour or path it should take in a specific situation. Reinforcement learning differs from the supervised…

Many of us have come across AI speed-runs of our favourite arcade games. I always used to wonder how those systems worked. So, I started looking into some existing open-source AI speed-runners and this is what I have found: When creating AI to play games you have to face two…