How Machines Learn: The Power of Gradient Descent
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to …
Build Impressive Data Science Projects: 10 Websites with Open Datasets to Build Your Portfolio
Author(s): Youssef Hosni Originally published on Towards AI. Data science is a rapidly growing field that combines statistical analysis, programming, and machine learning to extract insights from data. However, one of the biggest challenges for aspiring data scientists is finding high-quality, unique …
Prompt-Based Automated Data Labeling and Annotation
Author(s): Puneet Jindal Originally published on Towards AI. Generate your large training dataset in just less than an hour! What is the problem statement? 80% of the time goes in data preparation ……blah blah…. garbage in garbage out for AI model accuracy…..blah …
How to Train Neural Networks With Fewer Data Using Active Learning
Author(s): Leon Eversberg Originally published on Towards AI. A state-of-the-art guide to the theory and practice of deep active learning Oracle of Delphi. Photo by Walkerssk from Pixabay One of the biggest problems in supervised deep learning is the scarcity of labeled …
5 Python List Methods that You Should Know as a Data Scientist
Author(s): Gencay I. Originally published on Towards AI. Boost Your Data Science Workflow with These Must-Know Python List Methods Python List Methods — Created in Canvas Are you a data scientist looking to level up your Python skills? Have you ever wondered …
This AI newsletter is all you need #44
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI has seen some exciting developments in the world of open-source language models together with further discussion on the legal standing …
The Rise of Artificial Intelligence in Chess
Author(s): Clemens Jarnach ⚡️ Originally published on Towards AI. And The Epic Battle of Kasparov vs. Deep Blue Photo by Warren Umoh on Unsplash Chess has been one of the world’s most popular board games for centuries, and for centuries humans have …
Understanding Hyper-parameter-tuning of YOLO’s
Author(s): Chinmay Bhalerao Originally published on Towards AI. Different hyper-parameters and their importance in model building Source: Ultralytics YOLOv8 Docs YOLO (You Only Look Once) is a state-of-the-art object detection system that can detect objects in real-time. YOLOv8 is the latest version …
The MOST Important AI Model of The Year
Author(s): Mohit Varikuti Originally published on Towards AI. It's not BARD, PaLM, AlphaZero, DALLE, or even GPT-3 Chicago Tribune (Feb 25, 2013): Syfy’s ‘Robot Combat League’ You may be very confused by this title, as you are probably thinking, how is this …
The MOST Important AI Model of The Year
Author(s): Mohit Varikuti Originally published on Towards AI. It's not BARD, PaLM, AlphaZero, DALLE, or even GPT-3 This member-only story is on us. Upgrade to access all of Medium. Chicago Tribune (Feb 25, 2013): Syfy’s ‘Robot Combat League’ You may be very …
NVIDIA’s Toronto AI Lab: High-Resolution Video Synthesis with Latent Diffusion Models
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. NVIDIA’s Toronto AI Lab has developed a Gamechanger Image Generation AI. It is based on Latent Diffusion Models. Adding a dimension of time in the diffusion model has allowed it to …
Ph.D., Twitter, Breaking into the AI Field, and more with Brian Burns (AI Pub)
Author(s): Louis Bouchard Originally published on Towards AI. Originally published on louisbouchard.ai, read it 2 days before on my blog! Are you considering pursuing a Ph.D. in machine learning? Before you take the plunge, take a moment to listen to this insightful …
NVIDIA: Large Language Models of Life (BioNemo)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Accelerating analysis of large amounts of biological data, such as DNA sequences, protein structures, and metabolic pathways, via LLM framework. As scientists continue to probe the fundamentals of life, there is …
Powerful Tool for Data Analysis and Cleaning in Python: Lambda
Author(s): Gencay I. Originally published on Towards AI. Image by Author As a data scientist, you know that data cleaning is the foundation of any successful data analysis project. That’s why it’s essential to use the right tools and techniques to ensure …
The Importance of Having a Portfolio As a Data Scientist
Author(s): Youssef Hosni Originally published on Towards AI. Unleashing the Power of Data Science Portfolios: Elevate Your Career and Stand Out in the Job Market In today’s competitive job market, simply having a degree in data science may not be enough to …