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Areas Served: Cracking the Code of Context: Word Vectorization Techniques in NLP
Author(s): Abhijith S Babu Originally published on Towards AI. You moved to a new town far from your country, where you happened to bump into someone in a coffee shop. A young woman around your age and instantly, you both were engaged …
Real World Temporal Anomaly Detection through Supervised Machine Learning and Set Theory
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Explore Open Data from the City of Seattle Table Of Contents: I. The Problem Statement II. Remodeling time series into a supervised …
Information & Entropy
Author(s): Sushil Khadka Originally published on Towards AI. What, Why, and How explained Photo by Raimond Klavins on Unsplash Use “entropy” and you can never lose a debate, von Neumann told Shannon because no one really knows what “entropy” is. — William …
Attention! Beginners, Theory: Challenging terms and Methods for Facial Features Recognition
Author(s): Surya Govind Originally published on Towards AI. Theory Explained ( Computer Vision ): Pattern recognition ( Facial Recognition ) with Challenges and possible methods Image by newsroom.cisco.com from Laurence Cruz Energy-saving tip folk: Better start with OpenCV-C++/ Python, https://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html is a …
Attention Beginners! Powerful Exposure of Eye Gaze Tracking Procedure
Author(s): Surya Govind Originally published on Towards AI. Explanation of the Existing system and steps required for eye gaze estimation Image from bdtechtalks.com by Ben Dickson. For your convenience, I have added a few importnt explanation links for the concepts that are …
Data Science: A Simple Path for Beginners
Author(s): Surya Govind Originally published on Towards AI. How to start? Learn all you need in one year Photo by Austin Distel on Unsplash First, What is Data Science: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and …
Oh Hello! NLP Project Ideas for Beginners
Author(s): Surya Govind Originally published on Towards AI. The most popular NLP project ideas that a beginner must look for Photo by You X Ventures on Unsplash 1. Text classification: Also known as text tagging or text categorization is the process of …
Getting Started With Unix/Linux
Author(s): Pushkar Pushp Originally published on Towards AI. Computing An introduction to Unix/Linux shell scripting (Photo by Jeremy Yap on Unsplash) Introduction Unix is a multi-user operating system built around 1969 at AT&T Bell Labs. The main purpose of UNIX was multi-tasking. …
Airline Passengers Prediction Using My Stochastic Time Series Algorithm From Scratch in Python
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. Get an email whenever Ashutosh Malgaonkar publishes. My Stochastic Time Series Algorithm — Ashutosh MalgaonkarGet an email whenever Ashutosh Malgaonkar publishes. By signing up, you will create a Medium account if you don't… medium.com …
Data Structures: How Computers Store and Organize Data — The Backbone
Author(s): SPX Originally published on Towards AI. Top highlight Image Source Data in computer systems is essentially any type of information that can be processed and stored by a computer. This can include numbers, letters, sounds, images, and more. In order to …
Computer Vision Tutorial Series M2C1
Author(s): Sujay Kapadnis Originally published on Towards AI. Module 2 — Convolutional Filters and Edge Detection Chapter 1 — Fourier Transform Starting here? This article is part of a computer vision Tutorial Series. Here’s where you can start. Learning Objectives: What is …
The Future of Cloud Computing : Trends, Challenges and Opportunities
Author(s): Deepankar Varma Originally published on Towards AI. By using cloud computing, users can access computing resources over the internet, including computing power, storage, and software applications, without having to install the infrastructure on-premise. Essentially, it refers to the ability to access …
Active Learning with Autogluon
Author(s): Ulyana Tkachenko Originally published on Towards AI. Train accurate models with minimal data labeling via Active Learning and AutoML Training supervised machine learning models with large amounts of data can be expensive, time-consuming, and oftentimes unnecessary effort. Comparable results can be …
A quick Introduction to Machine Learning. Part-3 (Decision Tree)
Author(s): Abhijith S Babu Originally published on Towards AI. In this article, we can see how a decision tree is a useful machine-learning method. I recommend you to read part-1 and part-2 to have a basic idea about machine learning. Photo by …
Training WGAN-GP to Generate Fake People portrait images
Author(s): Rokas Liuberskis Originally published on Towards AI. We’ll cover more advanced Generative Adversarial Network techniques WGAN-GP. We’ll train it on a popular celebA human portrait dataset. In the previous post, we covered simple DCGAN, and I gave you a simple example …
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