Underwater Trash Detection using Opensource Monk Toolkit
Author(s): Abhishek Annamraju Originally published on Towards AI. Computer Vision The entire code for this application is available in Monk Object Detection Library’s Application Model Zoo Introduction Underwater Waste is a huge environmental problem affecting aquatic habitat drastically. Marine debris includes plastic, …
Machine Learning Interview Questions-1
Author(s): Gundluru Chadrasekhar Originally published on Towards AI. Careers, Machine Learning Photo by JESHOOTS.COM on Unsplash A Machine Learning Engineer has to cover the breadth concepts in ML, DL , Probability , Stats, and coding with a good depth of understanding . …
The SimCLRv2 Framework
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. A huge, Self-Learning Algorithm usually performs much better… Img_Credit Huge Self-Supervised Models are Strong Semi-Supervised learners.. IntroductionKey insightResultsWhy it mattersI’m thinkingThe era of Computer Vision is upon us… U+007C Img_Credit The long-standing problem …
A Probabilistic Algorithm to Reduce Dimensions: t — Distributed Stochastic Neighbor Embedding (t-SNE)
Author(s): Rajvi Shah Originally published on Towards AI. Top highlight Data Visualization One of the best techniques to reduce dimensions and visualize data based on probabilistic scores. Source: Medium Data Visualization plays a crucial role in real-time Machine Learning applications. Visualizing data …
Overview of Exploratory Data Analysis (EDA) With Haberman Dataset
Author(s): Rajvi Shah Originally published on Towards AI. Data Analysis A practical guide to get started to gain insights from your data. Reference: mc.ai “Data will talk, if you are willing to listen”- Jim Bergeson With the proper use of data, one …
Building an End to End Recommendation Engine using Matrix Factorization with Cloud Deployment using Amazon SageMaker
Author(s): Anurag Bisht Originally published on Towards AI. Cloud Computing, Machine Learning Image Courtesy: Google Cloud How many times have you visited any shopping website and purchased anything, have you noticed that the website personalizes as per your purchase history? You all …
Data Science Evaluation Metrics — Unravel Algorithms for Classification [Part 1]
Author(s): Maximilian Stäbler Originally published on Towards AI. Photo by Luke Chesser on Unsplash Data Science, Machine Learning Lessons learned about evaluation metrics for classification tasks. If you do not know how to ask the right question, you discover nothing.– W. Edwards …