Welcome to the Machine Learning Hub, your one-stop destination for all things related to machine learning!
Get ready to embark on an exciting journey into the realm of AI and discover how machines can learn and make intelligent decisions. Our blog articles are crafted with simplicity and clarity in mind, making complex machine learning concepts easy to understand for everyone. Whether you’re a beginner or an experienced practitioner, we’ve got you covered with informative and insightful content. Explore the fascinating world of algorithms, models, and data as we delve into supervised and unsupervised learning, reinforcement learning, and more. Discover practical applications in various domains like healthcare, finance, and autonomous vehicles. From introductory guides to advanced techniques, we’re here to help you demystify machine learning and unlock its potential. Join us on this journey as we unravel the secrets of machine learning and empower you to build intelligent systems that can analyze data, make predictions, and drive innovation.
Let’s shape the future together with the power of machine learning!
Acknowledgements: Lyria was made possible by key research and engineering contributions from Kazuya Kawakami, David Ding, Björn Winckler, Cătălina Cangea, Tobenna Peter Igwe, Will Grathwohl, Yan Wu, Yury Sulsky, Jacob Kelly, Charlie Nash, Conor Durkan, Yaroslav Ganin, Tom Eccles, Zach Eaton-Rosen, Jakob Bauer, Mikita Sazanovich, Morgane Rivière, Evgeny Gladchenko, Mikołaj Bińkowski, Ali Razavi, Jeff Donahue, …
This tutorial is part of a series where I’ll explore deep learning applications across various domains, each with its own project. The focus here is on learning deep Learning and image classification. We could have chosen to classify cats, dogs, or flowers, but for this project, we opted to work with satellite images as they …
Satellite Image Classification Using Deep Learning | By Leo Anello | Medium Read More »
Research Published 29 November 2023 Authors Amil Merchant and Ekin Dogus Cubuk AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose, …
Millions of new materials discovered with deep learning Read More »
A basic understanding of NeRF’s workings through visual representations Who should read this article? This article aims to provide a basic beginner level understanding of NeRF’s workings through visual representations. While various blogs offer detailed explanations of NeRF, these are often geared toward readers with a strong technical background in volume rendering and 3D graphics. …
Making Gemini available to the world Gemini 1.0 is now rolling out across a range of products and platforms: Gemini Pro in Google products We’re bringing Gemini to billions of people through Google products. Starting today, Bard will use a fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more. This is …
In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you. Image by author In A/B testing, you often have to balance statistical power and how long the test takes. You want a strong test that can find any …
Research Published 8 December 2023 Towards more multimodal, robust, and general AI systems Next week marks the start of the 37th annual conference on Neural Information Processing Systems (NeurIPS),the largest artificial intelligence (AI) conference in the world. NeurIPS 2023 will be taking place December 10-16 in New Orleans, USA. Teams from across Google DeepMind are …
How I migrated an old solution to a more elegant, robust and scalable solution using text classification from openAI Photo by Hunter Harritt on Unsplash As mentioned in the previous article, I talked about how I learned the foundations of machine learning in order to solve a problem with text classification. Due to the lack …
Machine Learning + openAI: solving a text classification problem | by Ricardo Ribas Read More »
Research Published 14 December 2023 Authors Alhussein Fawzi and Bernardino Romera Paredes By searching for “functions” written in computer code, FunSearch made the first discoveries in open problems in mathematical sciences using LLMs Update: In December 2024, we published a report on arXiv showing how our method can be used to amplify human performance in …
FunSearch: Making new discoveries in mathematical sciences using Large Language Models Read More »
Master fine-tuning Transformers, comparing deep learning architectures, and deploying sentiment analysis models Photo by Nathan Dumlao on Unsplash This project provides a detailed, step-by-step guide to fine-tuning a Transformer model for sentiment classification while taking you through the entire Machine Learning pipeline. Curious for more? The COMPLETE project repository awaits you in the Bibliography section …
