{"id":7214,"date":"2022-03-19T17:35:33","date_gmt":"2022-03-19T17:35:33","guid":{"rendered":"https:\/\/notesbard.com\/?p=7214"},"modified":"2022-03-19T17:35:33","modified_gmt":"2022-03-19T17:35:33","slug":"popular-machine-learning-software-tools","status":"publish","type":"post","link":"https:\/\/notesbard.com\/popular-machine-learning-software-tools\/","title":{"rendered":"15 Most Popular Machine Learning Software Tools In 2022"},"content":{"rendered":"
With the help of machine learning systems, we can examine data, learn from that data and make decisions. Machine learning involves algorithms and Machine learning library is a bundle of algorithms. <\/span><\/p>\n Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n With TorchScript, PyTorch provides ease-of-use and flexibility in eager mode, while seamlessly transitioning to graph mode for speed, optimization, and functionality in C++ runtime environments. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.<\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Whether you\u2019re a student, a data scientist or an AI researcher, Colab can make your work easier. The document you are reading is not a static web page, but an interactive environment called a Colab notebook that lets you write and execute code.<\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive documentation and wiki helps fill in the details.<\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Shogun is a free, open-source machine learning software library written in C++. It offers numerous algorithms and data structures for machine learning problems. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n RapidMiner\u2019s data science platform delivers transformational business impact for over 40,000+ organizations in every industry to drive revenue, reduce costs, and avoid risks.<\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Make accurate predictions, get deeper insights from your data, reduce operational overhead, and improve customer experience with AWS machine learning (ML). AWS helps you at every stage of your ML adoption journey with the most comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, but with specialization for real-time large scale machine learning. It is a framework for building applications, but also includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n MLlib fits into Spark\u2019s APIs and interoperates with NumPy in Python (as of Spark 0.9) and R libraries (as of Spark 1.5). You can use any Hadoop data source (e.g. HDFS, HBase, or local files), making it easy to plug into Hadoop workflows. <\/span><\/p>\n View Details<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos, or detect specific objects within a photo directly from its pixels.<\/span><\/p>\nList of 15 Most Popular Machine Learning Software Tools In 2022 <\/span><\/h1>\n
(1) Scikit-learn <\/span><\/h2>\n
(2) PyTorch <\/span><\/h2>\n
(3) TensorFlow <\/span><\/h2>\n
Top 20 Best FREE Plagiarism Checker Software 2022<\/span><\/a><\/span><\/h3>\n
(4) Weka 3: Machine Learning Software in Java <\/span><\/h2>\n
(5) KNIME <\/span><\/h2>\n
(6) Colab<\/span><\/h2>\n
15 Best Free Bioinformatics Tools for Genomic Testing 2022<\/span><\/a><\/span><\/h3>\n
(7) Apache Mahout<\/span><\/h2>\n
(8) Accord.Net<\/span><\/h2>\n
(9) Shogun Machine Learning <\/span><\/h2>\n
(10) Keras.io <\/span><\/h2>\n
Top 15 Best Statistical Software (Free) in 2022 (Statistics and Data Analysis)<\/span><\/a><\/span><\/h3>\n
(11) Rapid Miner <\/span><\/h2>\n
(12) Amazon Machine Learning (AML) <\/span><\/h2>\n
(13) Oryx 2 <\/span><\/h2>\n
(14) Apache Spark MLlib <\/span><\/h2>\n
Top 14 Best Citation Manager 2022<\/span><\/a><\/span><\/h3>\n
(15) Core ML Machine Learning Algorithm <\/span><\/h2>\n