The Best 2021 AI Breakthroughs – A Review
Author(s): Louis Bouchard Originally published on Towards AI. A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. This member-only story is on us. Upgrade to access …
The AI Monthly Top 3 — December 2021
Author(s): Louis Bouchard Originally published on Towards AI. The most interesting December’s AI breakthroughs with video demos, short articles, code, and paper reference. This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 …
Learn To Implement Papers: Beginner’s Guide
Author(s): Olga Chernytska Originally published on Towards AI. Deep Learning Step-by-step instructions on how to understand Deep Learning papers and implement the described approaches. Source: https://arxiv.org/abs/1608.00367 Being able to implement the latest scientific papers is an extremely competitive skill for a Data …
Waging a war against light pollution to save the world — Machine Learning is all set to help
Author(s): Supriya Ghosh Originally published on Towards AI. Technology Light Pollution is a known phenomenon that is seeking significant attention globally due to its alarming rate of harming all living species including humans. It can prove hazardous if not monitored and controlled …
Amazon SageMaker Ground Truth Plus: Enhanced Data Labeling
Author(s): Juv Chan Originally published on Towards AI. Cloud Computing Highlights of AI & ML Launches at AWS re: Invent 2021 Keynotes AWS re:Invent 2021 — Opening Keynote with Adam Selipsky, CEO, Amazon Web Services Preface The year 2021 marks a memorable …
Making a social impact with crowdsourcing
Author(s): Magdalena Konkiewicz Originally published on Towards AI. Technology How crowdsourcing platforms such as Toloka, initially designed to power AI models, can be used for social good Image by Bob Dmyt from Pixabay Introduction Crowdsourcing is a popular tool to gather data …
Feature Importance of Data in Machine Learning with Python
Author(s): Amit Chauhan Originally published on Towards AI. Reducing input features technique for predictive modeling This member-only story is on us. Upgrade to access all of Medium. Photo by Alex Chumak on Unsplash Feature importance is a technique to know the importance …
Accelerate innovation with machine learning (AIM212-L)
Author(s): Juv Chan Originally published on Towards AI. Artificial Intelligence Discover Hidden Gems of AI/ML Sessions in AWS re:Invent 2021 Image by p2722754 on Pixabay As an re:Invent attendee, you are absolutely spoilt for choice over the abundance of AI/ML sessions to …
OpenAI makes GPT-3 universally available to developers.
Author(s): Tharun P Originally published on Towards AI. Artificial Intelligence Is GPT-3 available for free? The answer is Yes, and it is now available to all. Photo by Katie Moum on Unsplash OpenAI recently announced the expansion of its cloud-based OpenAI API …
Mental Health and Machine Learning in Companies
Author(s): Rajvi Shah Originally published on Towards AI. Machine Learning How Machine Learning is helpful for predicting the Mental Health of Employees and How it is implemented? Reference: Jonathan Dalton Mental Health Introduction Mental health includes our emotional, psychological, and social well-being. …
3 Practical Monitoring for tabular data practices ML-OPS Guide Series
Author(s): Rashmi Margani Originally published on Towards AI. MLOps 3 Practical Monitoring for tabular data practices ML-OPS Guide Series Concept drift, data drift & monitoring In the previous blog as part of the ML-Ops Guide Series, we have discussed what is concept …
Laws of Probability — A Primer for Data Scientists and Machine Learning Engineers
Author(s): Supriya Ghosh Originally published on Towards AI. Probability Image by Author Real-life is a book that has probability in all its chapters. What is probability? Probability is a measure of uncertainty. Real-world involves taking decisions at every step, but many times …
How does AI Data Collection work in relation to Machine Learning Models?
Author(s): Mahisha Patel Originally published on Towards AI. Artificial Intelligence How does AI Data Collectionwork in relation to MachineLearning Models? Are you planning to introduce AI to the existing organizational schema? Or are you simply looking to prepare an intelligent and autonomous …
AWS re: Invent 2021 Artificial Intelligence and Machine Learning Session Guide for Builders and Architects
Author(s): Juv Chan Originally published on Towards AI. Careers My Top 5 Recommendations Welcome to AWS re:Invent at The Venetian Las Vegas in 2019. © Juv Chan. All rights reserved. Preface I create this guide to share my top 5 most looking …
OpenAI’s Approach to Solve Math Word Problems
Author(s): Jesus Rodriguez Originally published on Towards AI. A new research paper and dataset look to make progress in one of the toughest areas of deep learning. This member-only story is on us. Upgrade to access all of Medium. Source: https://www.quantamagazine.org/symbolic-mathematics-finally-yields-to-neural-networks-20200520/ Yesterday’s …
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