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Machine Learning is an element of the Artificial Intelligence universe. Machine Learning has opened up windows to the transformative future that lies ahead of us. Naturally, there is a surge in people taking up machine learning courses and machine learning certifications all over the world due to its immense popularity and usefulness.

As a subset, Machine Learning focuses on growing from observations and experiences. The popularity of machine learning certification courses on online training platforms indicates that this is the thing of the future. Coming to R, it is one of the major languages for data science because of its excellent visualization features, a growing ecosystem of third-party packages, and tools for machine learning interpretability. R has emerged as a fantastic tool for scientific computing and has powerful statistical libraries. Beginners commonly use R for exploring the data before applying any automated learning.

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importan

"Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence."

There was a time when machine learning datasets were scarce. Now, with the advancement in this field, datasets are readily available across the internet, but still, machine learning experts find it difficult to get relevant datasets for project ideas. By this post, we wish to change that.

"Train Custom Machine Learning Models Cloud AutoML is a suite of Machine Learning products that enables developers with limited machine learning expertise to train high quality models by leveraging Google's state of the art transfer learning, and Neural Architecture Search technology."

"How Montreal became the world's leading AI and deep learning hub"

'Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.'

"Learning that's easy to love. Give every employee the most engaging learning experience with 5Mins. It takes leaders minutes to manage, and employees minutes to learn. Helping you to develop and retain your talent in the simplest way."

"A worldwide machine learning lab Machine learning research should be easily accessible and reusable. OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together."

The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online.

Putting the power of Machine Learning in your hands. Our goal is to make machine learning simple and beautiful. Our service can take the complexities out of creating a high-availability, low-latency Machine Learning system created especially for your data. You will not only gain valuable insights from your data, you will most likely enjoy it. From the developer, to the researcher, to the multinational corporation, BigML has something that can uncover the hidden predictive power of your data. BigML wants to make you the master of your data.

"Collection of Interactive Machine Learning Examples We call them "seeds". Each seed is a machine learning example you can start playing with. Explore, learn and grow them into whatever you like. Powered by CoLab"

ai-one™ - biologically inspired intelligence. We sell software development kits (SDKs) for machine learning applications. We give programmers a virtual brain so they can build artificial intelligence into any software application. Unlike other machine learning tools, our technology works in any language, works with any data and learns quickly without human intervention.

"Hey there! I'm a robot brain. I learn concepts by searching the Internet. I can interpret natural language text, images, and videos. I watch humans with my sensors and learn things from interacting with them. Here are a few things I've learned recently..."

"The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities."

the Machine Learning Resource Guide and you'll get a hand-picked list of the best resources for Machine Learning.

The DARPA PAL program (the Personalized Assistant that Learns) focused on improving the way that computers support humans through the use of cognitive systems-that is, systems that reason, learn from experience, and accept guidance in order to provide effective, personalized assistance. SRI International has led the PAL Framework effort to make available many of the successful machine learning and reasoning technologies developed on the PAL program for use by the broader DARPA, research, and military communities. Technical capabilities within the framework have been hardened, modularized, packaged, and where appropriate, adapted to meet industry standards to facilitate their incorporation into potential target applications. The framework further includes various infrastructure components and APIs to simplify integration with the framework technologies.

"Take your machine learning to the next level with these artificial intelligence technologies."

"Deep Learning for Java Open-Source, Distributed, Deep Learning Library for the JVM"