1. What is an algorithm in machine learning? Algorithms in machine learning are mathematical procedures and techniques that allow computers to learn from data, identify patterns, make predictions, or perform ta
Course 2 of 4 in the Machine Learning: Algorithms in the Real World Specialization Syllabus WEEK 1 Classification using Decision Trees and k-NN Welcome to Supervised Learning, Tip to Tail! This week we'll go over the basics of supervised learning, particularly classification, as well as teac...
One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find ac...
Lists the machine learning algorithms that have been created. Request Syntax {"CreationTimeAfter":number, "CreationTimeBefore":number, "MaxResults":number, "NameContains": "string", "NextToken": "string", "SortBy": "string", "SortOrder": "string" } ...
shark - A fast, modular, feature-rich open-source C++ machine learning library. Shogun - The Shogun Machine Learning Toolbox. sofia-ml - Suite of fast incremental algorithms. Stan - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampli...
Robust machine learning typically refers to the robustness of machine learning algorithms. For a machine learning algorithm to be considered robust, either the testing error has to be consistent with the training error, or the performance is stable after adding some noise to the dataset. This repo...
Minimal and Clean Reinforcement Learning Examples. Reinforcement Learning Methods and Tutorials. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Python replication for Sutton & Barto's book Reinforcement Learning: An Introduction (2nd Edition). Library of contextual bandits...
Statistiker - Basic Machine Learning algorithms in Clojure. [Deprecated] clortex - General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated] comportex - Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated] Deep Learning...
Understanding Machine Learning: From Theory to Algorithms Author: Shai Shalev-Shwartz and Shai Ben-David For the mathematics- savvy people, this is one of the most recommended books for understanding the magic behind Machine Learning. Deep Learning Tutorial Author: LISA lab, University of Montreal ...
spark In-memory cluster computing framework, up to 100 times faster for certain applications and is well suited for machine learning algorithms. hdfs Reliably stores very large files across machines in a large cluster. mapreduce-python IPython Notebook(s) demonstrating Hadoop MapReduce with mrjob fu...