Deep Learning Mastery

Python and R Codes Source

Neural Networks Source

K-Means Clustering Source

Hierarchical Clustering Source

Support Vector Machines Source

K Nearest Neighbours Source

Random Forest Source

Decision Tree Source

Logistic Regression Source

Top Prediction Algorithms Source

Algorithms in Machine Learning Source

Machine Learning Cheatsheet Source

Deep Learning Leaders Source

Deep Learning Timeline Source

Deep learning Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, language translation and others. Deep learning differs from traditional machine learning techniques in that they can automatically learn representations from data such as images, video or text, without introducing hand-coded rules or human domain knowledge. Their highly flexible architectures can learn directly from raw data and can increase their predictive accuracy when provided with more data. Deep learning is responsible for many of the recent breakthroughs in AI such as Google DeepMind’s AlphaGo, self-driving cars, intelligent voice assistants and many more.  Source