Machine Learning

Machine learning (ML) uses statistics and mathematical models to detect patterns in historical data and learning algorithms to make predictions about new data. ML encompasses a range of methodologies and application areas, including:Artificial Intelligence Robotic Engineering Software Bots

What is Adversarial Attack? Definition, Types & How to Protect Yourself

Adversarial Attack

What Is an Adversarial Attack? An adversarial attack in machine learning (ML) refers to the...

Vangie Beal 5 months

Local LLM (Private LLM)

Local LLM (Private LLM)

Margaret Rouse 10 months

What is Image Classification? Definition, Techniques & Uses

Image Classification

Margaret Rouse 10 months

Object Detection

Object Detection

Tim Keary 10 months

What is Learning Rate? Definition & How It Works

Learning Rate

Tim Keary 1 year

What is Google Cloud Translation?

Google Cloud Translation

Marshall Gunnell 1 year

What Is Reinforcement Learning from Human Feedback (RLHF)?

Reinforcement Learning From Human Feedback (RLHF)

Tim Keary 1 year

What is the Kernel Method? Definition, How it Works & Applications

Kernel Method

Marshall Gunnell 1 year

What is Feature Extraction? Definition, Types & Examples

Feature Extraction

Vangie Beal 1 year

What is Batch Normalization?

Batch Normalization (BN)

Vangie Beal 1 year

Popular Categories

Show All

Artificial Intelligence

Business Software

Data Management