Machine Learning Glossary

The “Machine Learning Glossary” is a comprehensive resource that delves into various aspects of machine learning, covering topics such as data augmentation, Python programming, AI applications, and more. It explores the challenges and solutions in the realm of AI, including the importance of context in conversation history, the significance of speed in Python development, and the utilization of short-term memory in AI applications. With a focus on practical examples and real-world applications, this glossary serves as a valuable reference for individuals looking to deepen their understanding of machine learning concepts and their implementation in diverse fields.

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Layers

Layers BatchNorm Convolution Dropout Pooling Fully-connected/Linear RNN GRU LSTM BatchNorm BatchNorm accelerates convergence by reducing internal covariate shift inside each batch. If the individual o...

Logistic Regression

Machine Learning Glossary

Logistic Regression Introduction Comparison to linear regression Types of logistic regression Binary logistic regression Sigmoid activation Decision boundary Making predictions Cost function Gradient ...

Libraries

Machine Learning Glossary

Libraries Machine learning libraries and frameworks forked from josephmisti’s awesome machine learning . APL C C++ Common Lisp Clojure Elixir Erlang Go Haskell Java Javascript Julia Lua Matlab .NET Ob...

Gradient Descent

Machine Learning Glossary

Gradient Descent Gradient descent is an optimization algorithm used to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient. In ...

Linear Regression

Machine Learning Glossary

Linear Regression Introduction Simple regression Making predictions Cost function Gradient descent Training Model evaluation Summary Multivariable regression Growing complexity Normalization Making pr...

Forwardpropagation

Machine Learning Glossary

Forwardpropagation Simple Network Steps Code Larger Network Architecture Weight Initialization Bias Terms Working with Matrices Dynamic Resizing Refactoring Our Code Final Result Simple Network Forwar...

Linear Algebra

Machine Learning Glossary

Linear Algebra Vectors Notation Vectors in geometry Scalar operations Elementwise operations Dot product Hadamard product Vector fields Matrices Dimensions Scalar operations Elementwise operations Had...

Datasets

Machine Learning Glossary

Datasets Public datasets in vision, nlp and more forked from caesar0301’s awesome datasets wiki. Agriculture Art Biology Chemistry/Materials Science Climate/Weather Complex Networks Computer Networks ...

Glossary

Machine Learning Glossary

Glossary Definitions of common machine learning terms. Accuracy Percentage of correct predictions made by the model. Algorithm A method, function, or series of instructions used to generate a machine ...

Clustering Algorithms

Machine Learning Glossary

Clustering Algorithms Centroid Be the first to contribute! Density Be the first to contribute! Distribution Be the first to contribute! Hierarchical Be the first to contribute! K-Means Be the first to...

Contribute

Machine Learning Glossary

Contribute Become a contributor! Check out our github for more information.

Architectures

Machine Learning Glossary

Architectures Autoencoder CNN GAN MLP RNN VAE Autoencoder An autoencoder is a type of feedforward neural network that attempts to copy its input to its output. Internally, it has a hidden layer, h , t...