MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Updated
Oct 9, 2023 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A Flexible and Powerful Parameter Server for large-scale machine learning
A list of useful Java frameworks, libraries, software and hello worlds examples
Statistical Machine Intelligence & Learning Engine
Serve, optimize and scale PyTorch models in production
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
MapReduce, Spark, Java, and Scala for Data Algorithms Book
Java dataframe and visualization library
An Engine-Agnostic Deep Learning Framework in Java
AI + Data, online. https://vespa.ai
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
A machine learning software for extracting information from scholarly documents
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Una introduccion al analisis de datos con R y R Studio
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
An Open Source repository to Teach people How to contribute to open sources.
ELKI Data Mining Toolkit