Grab Few Programming Languages On the Peak for Machine Learning

By ridhigrg |Email | Jan 29, 2019 | 31059 Views

These are the top 10 machine learning which might lead you towards good skills and vast opportunities for your career. All these languages are the highly rated machine learning repositories.
1. Python
Highly rated machine learning repositories.
Sci-kit learns: For data mining and data analysis it is the popular library which implements a wide range of machine learning algorithms.
Machine Learning From Scratch: Bare bones but accessible implementations of machine learning models and algorithms.
Chatter Bot: A machine learning, conversational dialog engine for creating chatbots.
2. C++
Highly rated machine learning repositories
tensorflow: Googles widely used machine learning framework with APIs for a wide variety of languages.
Turi Create: A library that simplifies the development of custom machine learning models for developers new to the field.
LightGBM: Microsofts gradient boosting framework designed to help increase the machine learning model training speed and efficiency.
3. JavaScript
Highly rated machine learning repositories
Flappy Learning: A program that learns how to play the infamous Flappy Bird game.
AI Blocks: A drag and drop WYSIWYG editor that aims to allow anyone to create Machine Learning models 
ml5.js: Aims to make machine learning usable by artists and nontechnically minded students by offering access to machine learning algorithms and models in the browser.
4. Java
Highly rated machine learning repositories
Smile: A fast and comprehensive system for carrying out machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala.
H20: An in-memory platform for distributed, scalable machine learning that works on existing big data infrastructure, on bare metal or on top of existing Hadoop or Spark clusters.
EasyML: A general purpose dataflow-based system designed to make it easier to apply machine learning algorithms to real-world tasks.
5. C#
Highly rated machine learning repositories
ML Agents: An open source plugin for the Unity game engine that enables games and simulations to serve as environments for training intelligent agents.
ML.NET: An opensource and cross-platform machine learning framework for .NET.
Accord.NET: A framework that provides machine learning, statistics, artificial intelligence, computer vision, and image processing methods for .NET.
6. Julia
Highly rated machine learning repositories
MachineLearning.jl: A work-in-progress attempt to make common machine learning algorithms written in Julia available via a consistent API.
MLKernels.jl: This package provides a collection of common machine learning kernels and a set of methods to efficiently compute kernel matrices.
LightML.jl: Minimal and clean examples of machine learning algorithms implemented in Julia.
7. Shell
Highly rated machine learning repositories
Dlmachine: Scripts for setting up a GPU to compute using CUDA with libraries for deep learning.
Mlnotebook: A Dockerfile for multiple machine learning tools, aimed at providing an accessible and reproducible environment for a variety of machine learning toolkits, with a focus on deep learning.
Docker predictionio: A Docker container for PredictionIObased machine learning services.
8. R
Highly rated machine learning repositories
ML for Hackers: Code accompanying the book Machine Learning for Hackers.
Benchmml: A minimal benchmark for measuring scalability, speed and accuracy of commonly used opensource implementations of machine learning algorithms.
Machine Learning in R: The framework provides code for supervised machine learning methods like classification, regression and survival analysis, as well as unsupervised methods like clustering.
9. TypeScript
Highly rated machine learning repositories.
Windows Machine Learning: Windows ML provides trained machine learning models for developers to use in Windows apps built using C#, C++, JavaScript.
Machinelearn.js: Provides simple and consistent APIs to interact with machine learning models and algorithms, and teaches users how machine learning algorithms work.
Guess.js: Offers libraries to simplify the use of predictive data analytics to improve user experiences on the web.
10. Scala
Highly rated machine learning repositories.
Aero-solve: A machine learning library designed from the to be human-friendly.

Source: HOB