Step 4: Logistic regression
Author(s): Rashmi Margani Originally published on Towards AI. Blending NB And SVM U+007C Towards AI Naive Bayes(NB)-Support Vector Machine(SVM): Art Of State Result Hands-On Guide using Fast.ai SVM with NB feature: State of art performance model variance Before getting into Model variant …
AI Assistants — Jarvis vs. HAL
Author(s): Dan Lovy Originally published on Towards AI. Copyright Marvel Studios and Stanley Kubrick A Battle of AI Assistants U+007C Towards AI A look at what makes a great AI assistant and a test project Written by Dan Lovy, Jonathan B, Briana …
Understanding The simple Mathematics Behind Simple Linear Regression
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. How to verify if a Linear Relationship exists between two variables. Not a lot of people like Maths and for good reasons. I’m not exactly fond of it, but I try to keep …
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 …
Attention Please: Document Classification
Author(s): Jon-Ross Presta Originally published on Towards AI. Top highlight The current state of Deep Learning practices is fascinating to me because there are interesting likenesses between the way that we humans process images and text, and the algorithms we employ to …
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 …
Outlier Detection and Treatment: A Beginner's Guide
Author(s): Swetha Lakshmanan Originally published on Towards AI. Nature of Outliers: Top highlight One of the most important steps in data pre-processing is outlier detection and treatment. Machine learning algorithms are very sensitive to the range and distribution of data points. Data …
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 …
90% of stories will be written by artificial intelligence by 2034 — Automation and storytelling – did a robot write this?
Author(s): Paul Wilshaw Originally published on Towards AI. Automation and storytelling — 90% of stories will be written by a bot by 2034: Automated and personalized news Gif (Wilshaw, 2019) How do you know what’s real, what’s fake and what’s a bot …
Surviving the Titanic disaster with the help of AI
Author(s): Riccardo Di Sipio Originally published on Towards AI. I’ve always been fond of the songs by Francesco De Gregori, one of the most famous Italian songwriters, who can be considered a local Bob Dylan’s epigone. In June 1982, when I was …
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