July 3, 2023
ORC
ORC is a columnar storage file format that enables efficient data processing and analytics.
AI
June 30, 2023
Variational Autoencoders
Variational Autoencoders (VAEs) are generative models that learn to represent and generate complex data using a latent space representation.
June 30, 2023
Transformer Models
Transformer Models is a powerful machine learning architecture that revolutionizes natural language processing and other sequence-based tasks.
June 30, 2023
Spatial Transformer Networks
Spatial Transformer Networks is a deep learning technique that enables spatial transformations of input data, offering businesses enhanced data processing and analytics capabilities.
June 30, 2023
Softmax Function
Softmax Function is a mathematical function that converts a vector of real numbers into a probability distribution.
June 30, 2023
Sigmoid Function
Sigmoid Function is a mathematical function that maps any real-valued number to a value between 0 and 1.
June 30, 2023
Self-Supervised Learning
Self-Supervised Learning is a machine learning technique that leverages unlabeled data to train models without explicit human labeling.
June 30, 2023
ReLU Activation Function
ReLU Activation Function is a popular activation function used in deep learning models for its simplicity and effectiveness in processing and analyzing data.
June 30, 2023
Reinforcement Learning Agents
Reinforcement Learning Agents is a technology that utilizes machine learning algorithms to optimize decision-making processes and enhance data processing and analytics.
June 30, 2023
Recurrent Neural Networks
Recurrent Neural Networks is a type of neural network that can process sequential data and has advantages in data processing and analytics.
June 30, 2023
Q-Learning
Q-Learning is a reinforcement learning technique that enables machines to make optimal decisions based on trial and error.
June 30, 2023
Pooling Layers
Pooling Layers is a technique in deep learning that reduces the spatial dimensions of input data, bringing efficiency and improved performance to data processing and analytics.
June 30, 2023
Object Detection
Object Detection is the process of identifying and classifying objects within digital images or videos.
June 30, 2023
Neural Network Architecture
Neural Network Architecture is a framework that defines the structure and organization of an artificial neural network.
June 30, 2023
Multilayer Perceptron
Multilayer Perceptron is a neural network architecture that consists of multiple layers of interconnected nodes, used for data processing and analytics.
