Instructional Material
Road Map to Artificial Intelligence and Machine Learning
Each video is created with real time scenario examples in simple language. So that anyone without programming knowledge can understand in depth about Artificial Intelligence and Machine Learning. The contents were prepared based on maximum queries searched in google or posted in AI forum. At the end of this course you will get clear clarity on how much effort needed to start your career in Artificial Intelligence or Machine Learning Projects. For Non-English speaking students, I enabled the Auto Caption now.
Last Minute Learning Opportunity
Tomorrow โ October 23, 2019 โ the Society for Scholarly Publishing (SSP) is offering a webinar entitled, "Are There Finally Real Use Cases for AI?" In the last few years, a number of companies have come on the scene to tout new or better artificial intelligence (AI) technology and propose new ways of using AI in scholarly communications. This webinar will cover real world use cases of publishers and AI technology, exploring what's working and what, if anything, one should be aware of when considering an implementation. The SSP webinar program delivers a series of highly informative, thought-provoking webinars designed to challenge and stimulate discussion. Covering timely topics and offered regularly throughout the year, our one-hour webinars remain available within the library archive on SSP's website.
IT firm Hexagon to teach AI to school students
IT firm Hexagon to introduce the nuts and bolts of Artificial Intelligence (AI) to school students from Class 8. The AI Community Centre, which will offer free courses, to come up in Hyderabad early next year. Stockholm (Sweden)-based Hexagon, a sensor, software and autonomous solutions, has tied up the National Association of Software and Services Companies (Nasscom) to establish the AI Community Centre. "The school is open to all. It will run introductory courses in AI for students from Class 8 to senior level, which include engineering students," Navaneet Mishra, vice-president and Country Manager of Hexagon Capability Center India (HCCI), said.
Artificial intelligence. Learn now or lose out (via Passle)
Go on an artificial intelligence crash course for beginners right away. The general level of ignorance reminds me of the very first time I saw the internet in action, round the house of mate who was then working at IBM. If the content wasn't on the laptop, then where was it? And if it was *there*, then how did it get here? If I clicked on those words that were underlined, how did it take me to another set of words and images altogether?
Online Meta-Learning on Non-convex Setting
Zhuang, Zhenxun, Wang, Yunlong, Yu, Kezi, Lu, Songtao
The online meta-learning framework is designed for the continual lifelong learning setting. It bridges two fields: meta-learning which tries to extract prior knowledge from existing tasks for fast learning of future tasks, and online-learning which focuses on the sequential setting in which problems are revealed one by one. In this paper, we generalize the original framework from convex to non-convex setting, and introduce the local regret as the alternative performance measure. We then apply this framework to stochastic settings, and show theoretically that it enjoys a logarithmic local regret, and is robust to any hyperparameter initialization. The empirical test on a real-world task demonstrates its superiority compared with traditional methods.
How is Artificial Intelligence(AI) expected to evolve in 2019? - Mantra AI
Augmented reality is the "In-thing" that became popular with the famous Pokemon go. It pushed the thinking levels of the technology pundits and they engrossed themselves in finding new ways to make it a part of their business strategies. Augmented reality has already paved the way into several industries, and we can expect that its application will soon be a part of teaching and training curriculums revolutionizing the education systems. It will help to create an education system that is much more dynamic, interactive as compared to conventional teaching methods.
How to find time to learn Data Science
Data Science, Machine Learning or the field of Artificial Intelligence is exploding with ever-expanding knowledge areas, numerous new breakthroughs and mind-boggling advancements in innovation. It is becoming extremely difficult to manage time to keep up with the change no matter where one stands now, expert or novice. Whatever category you are in, you can easily find 1000 hours in a year to learn more to achieve one of the above goals. These 1000 hours do not count as your on the job learning or training that you are getting in office. This is exclusively your extra learning activities beyond your office business as usual hours.
How To Succeed In A Machine Learning Certification?
We will discuss some of the best machine learning certifications which you can obtain to show off your skills or achieve a good job as a machine learning expert. It is one of the most highly-rated and premium courses of Eduonix for learning Machine Learning. It includes 45 lectures with over 13 hrs of video content and 12 exclusive Machine Learning projects. With this online tutorial, you will be able to build real-world machine learning projects which are highly demanded in the industry. It won't teach you ML from the beginning but with the prior knowledge of programming languages like Python and others, you will create some cool AI & ML projects like- And there is a reason why I said it a little gem.
AI for Intelligent Financial Services: Examples and Discussion
Abstract: After more than 30 years in academia researching in the area of AI, as a student and as a faculty, I joined JPMorgan to create and head an AI research group. In this talk, I will present several concrete examples of the projects we are pursuing in engagement with the lines of business. I will focus on areas related to data, learning from experience, explainability, and ethics. I will conclude with a discussion of my current understanding of the transformational impact that AI can have in the future of financial services. Bio: Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction.