How, When, and Why Should You Normalize / Standardize / Rescale Your Data?
Author(s): Swetha Lakshmanan Before diving into this topic, lets first start with some definitions. “Rescaling” a vector means to add or subtract a constant and then multiply or divide by a constant, as you would do to change the units of measurement …
Mumbai vs. Delhi, What is Your Choice? Let the Data Decide!
Author(s): Sreelatha S Originally published on Towards AI. Data Science Storytelling for comparing two cities U+007C Towards AI Data analysis of various factors for two cities like food, venues to visit, etc Photo by Parth Vyas on Unsplash Mumbai and Delhi are …
Face Aging Using Conditional GANs
Author(s): Manish Nayak Originally published on Towards AI. Age-cGANs Explained U+007C Towards AI An Introduction to Age-cGANs Introduction Conditional GANs (CGANs) are extensions of the GANs model. You can read about Conditional GANs in my previous post here. In this post, I …
Towards AI
Towards AI is an online publication, which focuses on sharing high-quality publications, news, articles, and stories on AI and technology related topics. …
How Regularization Helps in Data Overfitting
Author(s): Saikat Biswas Originally published on Towards AI. Top highlight Source: Unsplash Surely helps in reducing the pain of lookout for a perfect model “Knowledge is the treasure and practice is the key to it” Let me start this article with a …
Visual Perception-From Human Vision to Computer Vision
Author(s): Ranjeet Singh Originally published on Towards AI. A brief about the inspiring ideas from human cognition Made up of 140 million neurons, the human visual cortex is one of the most mysterious parts of the brain responsible for processing and interpreting …
What is SVM?
Author(s): Dhilip Subramanian Originally published on Towards AI. Top highlight Machine Learning Support Vector Machine (SVM): A Simple Visual Explanation — Part 1 SVM is a supervised classification method that separates data using hyperplanes. SVM is a supervised machine learning algorithm is …
Bias-Variance Tradeoff Illustration Using Pylab
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the …
Calculating the Backpropagation of a Network
Author(s): Javed Ashraf Originally published on Towards AI. A beginner’s guide to the math behind backpropagation Machine learning has become a trending topic for many programmers and companies to investigate & utilize. Though there are various frameworks and tools which help to …
Gradient Descent: In Layman Language
Author(s): Saikat Biswas Originally published on Towards AI. Introducing the most popular and most used optimization technique in 5 minutes Source: Unsplash Whenever we talk of Machine Learning, the word we hear a lot, need to know and reason about is the …
Recent Posts
