Developing robust quantitative trading strategies is an intensive, rigorous, time-consuming process with no guarantee for success. In this webinar, you will learn how to apply techniques from the Artificial Intelligence and machine learning fields to improve the quantitative strategy development process and maximize your chances of success with every strategy. Attendees will learn practical applications that they can apply to their own trading and will come away with a strategy they can actually trade live. Attendees should have a basic understanding of quantitative and algorithmic trading. No programming experience is required.

JavaScript developers tend to look out for JavaScript frameworks that can be used to train machine learning models based on different machine learning algorithms. In this post, you will learn about different JavaScript framework for machine learning. Deeplearn.js is an open-source machine learning JavaScript library by Google, which can be used for different purposes such as training neural networks in the browser, understanding ML models, for education purposes, etc. You can run pre-trained models in inference mode. One can write the code in Typescript (ES6 JavaScript) or ES5 JavaScript.

GOOGLE HAS announced that it is making its artificial intelligence (AI) and machine learning (ML) courses available to everyone, beyond Mountain View. The new Learn with Google AI portal will let anyone with an interest, at almost any level, learn how to make the most of the glorious new horizon of AI and neural networking. Previously, the courses were designed for internal use to train Googlers, as Google continues its moves to be an "AI First" company. Zuri Kemp from Google AI explains: "From deep learning experts looking for advanced tutorials and materials on TensorFlow, to "curious cats" who want to take their first steps with AI, anyone looking for educational content from ML experts at Google can find it here." There's also a Machine Learning Crash Course (MLCC) which "provides exercises, interactive visualizations, and instructional videos that anyone can use to learn and practice ML concepts."

The hype around artificial intelligence (AI) in medical imaging has led to plenty of discussions of its impact in clinical and academic spaces. To explore current and future implementations of AI in medical imaging at academic institutions, Health Imaging spoke with Curtis Langlotz, PhD, Stanford University's Medical Informatics Director for Radiology. Health Imaging: Where do you think AI will first be deployed in medical imaging? Curtis Langlotz, PhD: Over the next decade, AI will be deployed throughout the image life cycle from image production to image interpretation. For example, machine learning algorithms will produce clearer images using less radiation and will alert technologists to suboptimal images at the scanner console.

The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain. It will start Aug 15. About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

There are many books that provide an introduction to the field of linear algebra. Most are textbooks targeted at undergraduate students and are full of theoretical digressions that are barely relevant and mostly distracting to a beginner or practitioner to the field. In this post, you will discover the book "No bullshit guide to linear algebra" that provides a gentle introduction to the field of linear algebra and assumes no prior mathematical knowledge. No Bullshit Guide To Linear Algebra Review Photo by Ralf Kayser, some rights reserved. The book provides an introduction to linear algebra, comparable to an undergraduate university course on the subject.

When I woke up this morning and checked my daily news feed of AI stories on Flipboard, I felt I should go back to sleep. It was clear that the world as we know it was about to end. In about a third of my personalised news articles the AI headlines screamed loud and clear. And when such brilliant minds as Stephen Hawking and Elon Musk say, and I quote, 'the development of full artificial intelligence could spell the end of the human race' and'artificial Intelligence is our biggest existential threat' then who I am to argue. And when the prestigious McKinsey management consultancy that has the ear of the world's leading CEOs, states commandingly'we estimate that about half of all the activities people are paid to do in the world's workforce could potentially be automated' then it doesn't seem unreasonable to assume we are all doomed.

Google's "Learn with Google AI" is a new course introduced by the company, which will bring machine learning skills and concepts to all users who sign up. The course is free and available to all who are interested. Google says the set of educational resources in this course have been developed by machine learning experts at the company. Google says the idea with this machine learning course is to encourage people to learn about machine learning concepts, develop skills in the area, and apply artificial intelligence to real-world problems. The new Machine Learning Crash Course will give a quick introduction to practical ML concepts using high-level TensorFlow (TF) APIs.

Artificial Intelligence (AI) and machine learning (ML) are currently some of the trending topics in the tech industry. Google wants to make AI and ML more accessible to more people by providing lessons, tutorials and hands-on exercises at all experience levels. Therefore, Google India on Thursday (March 1) introduced a new website called "Learn with Google AI" that encourages everyone to understand how AI works, learn about core ML concepts, develop skills and apply AI to solve real-world challenging problems. These educational resources are developed by ML experts at the company and caters to everyone, from beginners to researchers looking for advanced tutorials. "We believe it's important that the development of AI reflects as diverse a range of human perspectives and needs as possible. So, Google AI is making it easier for everyone to learn ML by providing a huge range of free, in-depth educational content," Zuri Kemp, Programme Manager for Google's machine learning education, said in a statement.

Google is to make its artificial intelligence and machine learning courses - previously only for insiders - available to everyone. The new'Learn with Google' AI portal will let anyone with an interest, at almost any level, to learn how to make the most of AI and neural networking. Previously, the courses were designed purely as an internal for the purpose of training Google drones. The course was designed as part of the company's move to become "AI first" company. "To help everyone understand how AI can solve challenging problems, we've created a resource called Learn with Google AI. This site provides ways to learn about core ML concepts, develop and hone your ML skills, and apply ML to real-world problems," wrote Google's technical program manager Zuri Kemp in a blog posting explaining the decision.