Becoming Human

MAY 22, 2023

To do this, the agent learns a policy — a mapping from observations to actions — that helps it make the best decisions. Step 3: Choose an RL Algorithm Various RL algorithms are available, each with its own strengths and weaknesses. One popular algorithm is Q-Learning, which is suitable for discrete action spaces.

Algorithm 69

Algorithm Artificial Intelligence Artificial Intelligence Python 69

Dataconomy

MAY 8, 2023

AI drawing generators use machine learning algorithms to produce artwork What is AI drawing? You might think of AI drawing as a generative art where the artist combines data and algorithms to create something completely new. They use deep learning models to learn from large sets of images and make new ones that meet the prompts.

Artificial Intelligence 194

Artificial Intelligence Artificial Intelligence AI AI 194

Becoming Human

MAY 15, 2023

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Becoming Human

AUGUST 15, 2023

Introduction In the world of data science and machine learning, logistic regression is a powerful and widely-used algorithm. Logistic regression is a type of supervised learning algorithm. Conclusion In summary, logistic regression is a simple but effective algorithm for binary classification problems.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52

Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

Clustering 87

Clustering Computer Science Computer Science Deep Learning 87

Mlearning.ai

JUNE 28, 2023

Person’s face occluded with magazine (Image from Stackoverflow) Dealing with occlusions is problematic because the obscured portions give insufficient information, making it difficult to precisely distinguish or locate objects.

Algorithm 52

Algorithm Deep Learning Deep Learning ML 52

Becoming Human

MAY 12, 2023

Image annotation is at the core of artificial intelligence and machine learning, and this note provides an overview of the various approaches and methods required to achieve AI and develop AI-enabled models. In order to achieve this, one must understand the algorithms and be able to apply them to real-world challenges through AI.

Machine Learning 81

Machine Learning Machine Learning AI AI 81

Heartbeat

DECEMBER 28, 2023

The integration begins with Edge AI-enabled devices leveraging their local processing capabilities to execute sophisticated AI algorithms. This server, equipped with Federated Learning algorithms, amalgamates these updates, iteratively refining the global AI model.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 18, 2024

Combining this information with machine learning algorithms and data scientists could yield groundbreaking insights to advance sector research. The Foundation of Convolutional Neural Networks Neural networks and machine learning are the typical highlights in AI-focused conversations and publications.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40