Teaching a Vector Robot to detect Another Vector Robot
Author(s): Amitabha Introduction Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Weekly Machine Learning Research Paper Reading Listβββ#5
Author(s): Durgesh Samariya For this week (31/8/2020–6/9/2020), I am going to read the following 3 research papers. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Deploying ML Models in Production: Model Export & System Architecture
Author(s): Avishek Nag Machine Learning Understanding model export mechanisms, lightweight integration, offline & online model hosting techniques Photo by Markus Spiske onΒ Unsplash We often see many techniques discussed here & there about solving problems with ML. But when it comes to putting …
Improving Data Labeling Efficiency with Auto-Labeling, Uncertainty Estimates, and Active Learning
Author(s): Hyun Kim How can you tell if this labeled image is βusefulβ for training a model? Read more to find out. | Source: Derivative from creative commons, photo by FrankΒ KΓΆhntop In this post, we will be diving into the machine learning …
Diversity Recommendation Systems in Machine Learning and AI
Author(s): Allen Jiang Personalization & Discovery that Does Social Good and Increases Customer Lifetime Value Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
An Introduction to 5 Types of Image Annotation
Author(s): Limarc Ambalina Looking for information on the different image annotation types? Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Building a Spicy Pepper Classifier with no datasets, 96% accuracy
Author(s): Michelangiolo Mazzeschi Using Classification models on no dataset. Full code available at my repo. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Weekly Machine Learning Research Paper Reading Listβββ#4
Author(s): Durgesh Samariya For this week (24/8/2020β30/8/2020), This week I am going to read the following 3 research papers. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Reinforcing the Science Behind Reinforcement Learning
Author(s): Daksh Trehan Dummies guide to Reinforcement learning, Q learning, Bellman Equation. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Predicting Heart Failure Survival with Machine Learning ModelsβββPart I
Author(s): Anirudh Chandra A step-by-step pythonic walk-through of the analysis of survival data along with domain-level explanation. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Calculus in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Behind every machine learning model is an optimization algorithm that relies heavily on calculus Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
A Rudimentary Voice Authentication System with Mobile Deployment
Author(s): OngKoonHan Speaker Verification, Android Deployment, Deep Learning, Web Service Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Easy to use Correlation Feature Selection with Kydavra
Author(s): Vasile PΔpΔluΘΔ Machine Learning Almost every person in data science or Machine Learning knows that one of the easiest ways to find relevant features for predicted value y is to find the features that are most correlated with y. However few …
Inference vs. Prediction
Author(s): Alexandros Zenonos, PhD A lot of people seem to confuse the two terms in the context of machine learning. This post will try to clarify what we mean by the twoβ¦ Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via …
Unsupervised vs. Supervised Learning
Author(s): Rajaram VR Machine Learning I just started my initial steps into data science and machine learning, and, got introduced to βSupervised Learningβ techniques as βClassifiers (Decisiontreeclassifer from sklearn kit), and on the unsupervised learning, with βClustering.β In this case, we are …