K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
Author(s): Sujan Shirol, Husna Sayedi, Roberto Iriondo The image is a screenshot of the COVIDCAST application, an open-source project by the Delphi Research Group at Carnegie Mellon University. Diving into K-nearest neighbor, a fundamental classical machine learning (ML) algorithm Join us ↓ …
10 Biggest AI Companies 2021
Author(s): Sandro Luck (DGuyAI) AI patent champions of 2020 Continue reading on Towards AI » Published via Towards AI …
My Machine Learning Internship Experience — Part 1
Author(s): Anglina Bhambra This time last year, I was a couple of months into my Machine Learning internship. Continue reading on Towards AI » Published via Towards AI …
OpenAI’s DALL·E: Text-to-Image Generation Explained
Author(s): Louis (What’s AI) Bouchard OpenAI just released the paper explaining how DALL-E works! It is called “Zero-Shot Text-to-Image Generation”. Continue reading on Towards AI » Published via Towards AI …
Data Preprocessing Concepts with Python
Author(s): Amit Chauhan A robust method to make data ready for machine learning estimators Continue reading on Towards AI » Published via Towards AI …
How to Succeed at the TensorFlow Developer Certification exam (2021)
Author(s): Phani Rohith Resources to pass the TensorFlow Developer certification Continue reading on Towards AI » Published via Towards AI …
Fully Explained DBScan Clustering Algorithm with Python
Author(s): Amit Chauhan Unsupervised learning in machine learning on density-based clusters Continue reading on Towards AI » Published via Towards AI …
Paper Explained: TransGAN — Two Transformers can make One Strong GAN
Author(s): Vatsal Saglani A CNN free GAN network Continue reading on Towards AI » Published via Towards AI …
Algorithmic Trading Models — Cumulative Sums Filter
Author(s): Dhruva Krishnamurthy In the sixth article of this series, we will continue to summarise a collection of commonly used technical analysis trading models that… Continue reading on Towards AI » Published via Towards AI …
A Simple and Scalable Clustering Algorithm for Data Summarization
Author(s): Haris Angelidakis [Source: https://d1m75rqqgidzqn.cloudfront.net/wp-data/2020/01/17162345/clustering-algorithms-in-Machine-Learning.jpg] Machine Learning A Simple and Scalable Clustering Algorithm for Data Summarization The Gonzalez heuristic for k-Center Introduction In the era of big data, the need for designing efficient procedures that summarize millions of data points in a meaningful …
Monitor Home Temperature and Humidity With a Raspberry Pi and Prometheus
Author(s): Guillaume Vincent Learn how to export data from a sensor to Prometheus with Golang. Then visualize metrics in a Grafana dashboard Continue reading on Towards AI » Published via Towards AI …
Uber AresDB is an Open Source , GPU-Powered Database for Large-Scale Analytics Workloads
Author(s): Jesus Rodriguez The open source stack is powering real time analytics pipelines at Uber. Continue reading on Towards AI » Published via Towards AI …
Fully Explained Gradient Boosting Technique in Supervised Learning
Author(s): Amit Chauhan A regression and classification approach in machine learning Continue reading on Towards AI » Published via Towards AI …
Top Three Ways To Get The Most Out Of Your Machine Learning Project
Author(s): Bipin Biddappa P K Machine Learning, Opinion And here is why you should be doing them right away Photo by Icons8 team on Unsplash Introduction A machine learning model learns from the data it is given to make better and better decisions over …
Perceptron Is Not SGD: A Better Interpretation Through Pseudogradients
Author(s): Francesco Orabona, Ph.D. Actual conversation with my wife (Image from xkcd.com) There is a popular interpretation of the Perceptron as a stochastic (sub)gradient descent procedure. I even found slides online with this idea. The thought of so many young minds twisted by these …
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