50+ Object Detection Datasets from different industry domains
Author(s): Abhishek Annamraju Computer Vision A list of object detection and image segmentation datasets (With colab notebooks for training and inference) to explore and experiment with different algorithms on! Free to use Image. Credits Computer Vision is such a fast-paced field that everyday …
A Probabilistic Algorithm to Reduce Dimensions: t — Distributed Stochastic Neighbor Embedding…
Author(s): Rajvi Shah One of the best techniques to reduce dimensions and visualize data based on probabilistic scores. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Exploring Descriptive Statistics Using Pandas and Seaborn
Author(s): Indhumathy Chelliah Quantitative approach and Visual approach Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Why is Python so popular among Data Scientists?
Author(s): Maruti Techlabs Data Science Why is Python so Popular Among Data Scientists? Your organization is only as smart as the data you have access to. The ability to extract insights from massive amounts of data decides your enterprise’s success. This is where …
How I Build Machine Learning Apps in Hours
Author(s): Arunn Thevapalan In hours, not days. Do we even have a choice? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Exploratory Data Analysis (EDA) — Hands-on NYC Airbnb Dataset
Author(s): Rajvi Shah Complete guide to explore & analyze NYC Airbnb dataset Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Social Network Analysis of Game of Thrones in Python
Author(s): George Pipis A practical example of Social Network Analysis of Game of Thrones using NetworkX Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The State of Low Code and No Code in 2020
Author(s): David Yakobovitch Low Code, No Code Movements and Enterprise Applications Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Everyone Can Understand Machine Learning… and More!
Author(s): Towards AI Team Some cool announcements, what is new in the AI world, and our monthly picks If you have trouble reading this email, see it on a web browser. Work in the AI field is moving forward very quickly. Today Papers with …
Bias Matters! What’s Fairlearn, and why should I care?
Author(s): Bruno Cordeiro Improving the fairness of machine learning models. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to determine the number of Clusters for K-Means in R
Author(s): George Pipis A walk-through example of how you can determine the number of Clusters for K-Means Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Key to Sharp Matplotlib Graphs with One Line of Code
Author(s): Anya Vastava The barely known trick that should become industry standard Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Ethics of AI and Autonomous Vehicles
Author(s): Jair Ribeiro In a perfect world, AI should be developed to avoid unethical issues, but that may be unlikely since those issues can not be predefined… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
MLOps Demystified…
Author(s): Shubham Saboo Machine Learning Efficiency is about doing better what’s already being done — Peter Drucker MLOps is modeled on the existing discipline of DevOps, the modern practice of efficiently building, deploying, and running enterprise-grade applications to shorten the systems development life cycle and …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori In this tutorial, you’ll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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