2020, Algorithm and Supervised Learning

Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

K-nearest Neighbors

K-nearest Neighbors Supervised Learning AI AI

Offline RL Made Easier: No TD Learning, Advantage Reweighting, or Transformers

BAIR

APRIL 20, 2022

A demonstration of the RvS policy we learn with just supervised learning and a depth-two MLP. It uses no TD learning, advantage reweighting, or Transformers! Offline reinforcement learning (RL) is conventionally approached using value-based methods based on temporal difference (TD) learning.

Supervised Learning

Supervised Learning Algorithm

Test-time Adaptation with Slot-Centric Models

ML @ CMU

SEPTEMBER 15, 2023

Slot-TTA builds on top of slot-centric models by incorporating segmentation supervision during the training phase. ii) We showcase the effectiveness of SSL-based TTA approaches for scene decomposition, while previous self-supervised test-time adaptation methods have primarily demonstrated results in classification tasks.

Machine Learning

Machine Learning Machine Learning Supervised Learning Algorithm

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

JUNE 14, 2023

Accurate and performant algorithms are critical in flagging and removing inappropriate content. Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions.

Supervised Learning

Supervised Learning Artificial Intelligence Artificial Intelligence AI

Gamification in AI?—?How Learning is Just a Game

Applied Data Science

MARCH 11, 2022

Then, we will look at three recent research projects that gamified existing algorithms by converting them from single-agent to multi-agent: ?️‍♀️ All the rage was about algorithms for classification. Rahimi and Recht In last year’s ICRL, researchers presented an algorithm that offered a new perspective on PCA: EigenGame.

AI

AI AI Data Science Machine Learning

The Conclusive Machine Learning Engineer Career Path with Free Online Courses

How to Learn Machine Learning

MAY 14, 2023

Building a Solid Foundation in Mathematics and Programming To become a successful machine learning engineer, it’s essential to have a strong foundation in mathematics and programming. Mathematics is crucial because machine learning algorithms are built on concepts such as linear algebra, calculus, probability, and statistics.

Machine Learning

Machine Learning Machine Learning Deep Learning Deep Learning

Pioneering computer vision: Aleksandr Timashov, ML developer

Dataconomy

AUGUST 22, 2024

I led several projects that dramatically advanced the company’s technological capabilities: Real-time Video Analytics for Security: We developed an advanced system integrating deep learning algorithms with existing CCTV infrastructure. One of the most promising trends in Computer Vision is Self-Supervised Learning.

ML

ML ML Machine Learning Machine Learning

Foundation models: a guide

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

Natural Language Processing

Natural Language Processing Supervised Learning Machine Learning Machine Learning

Acheiving 33rd Rank (of 186) in a NASA Harvest Field Boundary Detection Challenge in 50 Epochs

Towards AI

MARCH 28, 2023

Combining machine learning with Earth Observation data from satellites like the PlanetScope constellation can help improve agricultural monitoring cropland mapping, and disaster risk management for these small farms. The end-goal is geared towards making the label masks reasonably detectable within their corresponding images.

Machine Learning

Machine Learning Machine Learning Supervised Learning Algorithm

Mastering Simple Linear Regression: A Comprehensive Guide with Examples and Applications

Mlearning.ai

APRIL 16, 2023

It may seem simple linear regression is neglected in the machine learning world of today. It helps to understand higher and more complex algorithms. So, it is important to master this algorithm. In this tutorial, you will learn about the concepts behind simple linear regression. 2019) Python Machine Learning.

Machine Learning

Machine Learning Machine Learning Python Data Science

Intuitive robotic manipulator control with a Myo armband

Mlearning.ai

JANUARY 31, 2023

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.

Clustering

Clustering Algorithm Machine Learning Machine Learning

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Similar updates were published in 2021 , 2020 , and 2019. Let’s get started! Top Computer Vision Computer vision continues to evolve and make rapid progress.

ML

ML ML AI AI

Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

JANUARY 16, 2024

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. We have papers from 2020 where we showed that these models hallucinate less than regular parametric models. DK: Absolutely, I think that’s a perfect metaphor. You can point back and say, “It comes from here.

AI

AI AI Supervised Learning Algorithm

Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

JANUARY 16, 2024

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. We have papers from 2020 where we showed that these models hallucinate less than regular parametric models. DK: Absolutely, I think that’s a perfect metaphor. You can point back and say, “It comes from here.

Supervised Learning

Supervised Learning AI AI Algorithm

When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

Kaggle

JULY 29, 2020

I was looking forward to the 2020 tournament and had a model I was very excited about. When the 2020 March Madness competition was cancelled and COVID-19 was really starting to hit hard, I wanted to find a way to get involved and help. What supervised learning methods did you use?

ETL

ETL Data Scientist Machine Learning Machine Learning

Data Science Current

Generative vs Discriminative AI: Understanding the 5 Key Differences

Offline RL Made Easier: No TD Learning, Advantage Reweighting, or Transformers

Webinars

Trending Sources

Test-time Adaptation with Slot-Centric Models

Webinars

Meet the winners of the Video Similarity Challenge!

Gamification in AI?—?How Learning is Just a Game

The Conclusive Machine Learning Engineer Career Path with Free Online Courses

Pioneering computer vision: Aleksandr Timashov, ML developer

Foundation models: a guide

Acheiving 33rd Rank (of 186) in a NASA Harvest Field Boundary Detection Challenge in 50 Epochs

Mastering Simple Linear Regression: A Comprehensive Guide with Examples and Applications

Intuitive robotic manipulator control with a Myo armband

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Retrieval augmented generation (RAG): a conversation with its creator

Retrieval augmented generation (RAG): a conversation with its creator

When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

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