Tech concepts & more
Tech concepts and ideas in simple terms
Shravan Vishwanathan
Posts
Gradient Descent vs Stochastic Gradient Descent
Introduction : Gradient Descent and Stochastic Gradient Descent , both are optimization techniques to reduce the cost function for a machine learning algorithm. So, in a nutshell both are algorithms which find the optimal coefficients and bias for function (f). The Difference : Other than the word “Stochastic” there is one difference between both optimizing…
Linear Regression
Introduction : Linear regression is basically a supervised learning algorithm to predict continuous (any numerical value) target values based on a given set of input variables. If we plot the approximate line/plane on a 2D- 3D graph it would have a constant slope. Types of Linear Regression : Simple linear regression: Its the basic slope…
Supervised learning and Unsupervised learning
Introduction Supervised and Unsupervised learning are techniques in machine learning. Supervised Learning In supervised learning the input variables/attributes/features (X) and the output variables (Y) are given and the machine finds an optimal function to generalize through all the inputs . In very generic terms we can represent this as Y = f(X). The machine trains…
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