ContentsIn 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.Statistical Power: Importance and Influential FactorsAllocationEffect SizeVariance reduction (CUPED)BinarizationConclusions In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect …
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 …
Company Published 22 December 2023 Authors By Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications. As ongoing research pushes AI …
2023: A Year of Groundbreaking Advances in AI and Computing Read More »
ContentsEven with zero math backgroundDo You Even Need to Know Math for ML?What to LearnResourcesHow to StudyAgain, Math (Probably) Won’t Get You a Job Even with zero math background Photo by Antoine Dautry on Unsplash Do you want to become a Data Scientist or machine learning engineer, but you feel intimidated by all the math …
Research Published 2 January 2024 Authors Gamaleldin Elsayed and Michael Mozer New research shows that even subtle changes to digital images, designed to confuse computer vision systems, can also affect human perception Computers and humans see the world in different ways. Our biological systems and the artificial ones in machines may not always pay attention …
Images altered to trick machine vision can influence humans too Read More »
Polynomial Fit in Python with NumPy Ball Tracking and Trajectory Prediction In a previous project I visualized the trajectory of a ball that I threw vertically into the air with a real-time position, velocity and acceleration plot. Extending upon this project, I wanted to calculate and visualize a trajectory prediction based on a simple physics …
