3. Gradient Descent

Ever wonder how the media giants like Netflix and Spotify guess your mood and recommend you the content that you often end up watching? Machine Learning has grown exponentially in terms of research and application in almost every surviving industry today. Although it is common to see ML on most profiles nowadays, it is very important to get your foundations strong before building a career out of it. So, come join ISTE Crypt as we DeCrypt this phenomenal field of computer science for you! ✨ Topics introduced are as follows: 1) Classification of Machine Learning 2) Regression (linear, quadratic & logistic) 3) Gradient Descent 4) Algorithms: Clustering (eg: K-Means) 5) Algorithms: Classification (eg: KNN, Gaussian Bayes) 7) Decision Trees 8) Support Vector Machines (SVM) Prerequisites are basic knowledge of: Python programming, probability and calculus.