Empowering Human Feedback in Reinforcement Learning
Author(s): Anay Dongre Originally published on Towards AI. Image generated by DALL.E-2 In a world where artificial intelligence is rapidly advancing, the development of machine learning algorithms that can learn from human feedback has become increasingly important. One such algorithm that is …
Shapash 2.3.0: Enhancing Webapp Built-In Features for Comprehensive Machine Learning Model Interpretation
Author(s): Maxime Lecardonnel Originally published on Towards AI. The interpretability of machine learning models is a constantly evolving research area that aims to make the decisions made by these algorithms understandable to humans. Shapash addresses these challenges by providing clear and precise …
From Text to Conversation: How ChatGPT is Changing the Way We Communicate
Author(s): Dhrubjun Originally published on Towards AI. Photo by ilgmyzin on Unsplash Introduction In recent years, artificial intelligence (AI) has seen significant advancements, particularly in the field of natural language processing (NLP). One of the most notable developments in this field is …
Do House Sale-Price Prediction Like a Professional Data Scientist
Author(s): John Adeojo Originally published on Towards AI. Advanced Machine Learning Tactics Image by Author: Generated by Midjourney Join me as I work through a fun and challenging regression problem β predicting house-sale prices. I will walk you through everything from best …
Data-Centric AI β Data Collection and Augmentation Strategy
Author(s): Tan Pengshi Alvin Originally published on Towards AI. A comprehensive guide to data generation strategy for data-centric Machine Learning projects Image by Dave Photoz on Unsplash In the world of deep learning, complex models are data-hungry β in both quality and …
Pandas Cheat Sheet: Functions for Data Analysis
Author(s): Gencay I. Originally published on Towards AI. Pandas Coding Examples for Efficient Data Manipulation and Analysis in Python Image by Author It is no secret that data is the lifeblood of modern business, and the ability to manipulate and analyze data …
Rustic Learning: Machine Learning in Rust β Part 1: Introduction to Rust
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to the Fundamentals of the programming language Rust Photo by ZdenΔk MachΓ‘Δek on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine …
Stacking and Splitting NumPy Arrays Like a Pro: Part 2
Author(s): Devansh Sheth Originally published on Towards AI. Read this guide and split those NumPy arrays like a Ninja! Photo by Krys Amon on Unsplash NumPy is one of the most important libraries for Data Science and working with numerical data. Mastering …
Rustic Learning: Machine Learning in Rust β Part 3: Deep Learning Bindings
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to Neural Network Bindings in Rust Photo by Jay Heike on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks. …
Meet Vicuna: The Latest Metaβs Llama Model that Matches ChatGPT Performance
Author(s): Jesus Rodriguez Originally published on Towards AI. The modle was created by researchers from UC Berkeley, CMU, Stanford, and UC San Diego. Top highlight Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence …
Rustic Learning: Machine Learning in Rust β Part 4: Neural Networks
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to Rust Native Neural Networks Photo by Beth Macdonald on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks. The …
Rustic Learning: Machine Learning in Rust β Part 5: Model Deployment
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to Rustβs Deployment of ML Models Photo by david Griffiths on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks. …
Uncovering the Art of Combat: A Data Scientistβs Exploration of Mixed Martial Arts
Author(s): John Adeojo Originally published on Towards AI. Examining the Impact of Fighting Styles on MMA Matchups with Machine Learning & Statistical Analysis Image by Author: Generated with Midjourney prompt βThe Stance Standoff, 2023 β A captivating and intense photograph capturing the …
History of AI: Maturation of Artificial Intelligence (1943β1952)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. The period from 1943 to 1952 is considered the maturation period of AI, as several important breakthroughs were made during this time. Artificial Intelligence has rapidly become one of the most …
Computer Vision 101: Image Restoration
Author(s): Gabriele Mattioli Originally published on Towards AI. What is noise, and how does it affect images Photo generated by DALLΒ·E 2 β’ Credit: OpenAI Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. If …
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