This 16- hour instructor-led workshop focuses on Data Science and provides participants the knowledge and skills for understanding Data Science, Statistics, Data Science methodologies and how to create, validate and deploy Machine Learning Models using Python and Azure Machine Learning Studio.

Machine learning has been the most sought after online course. It includes … Neural Networks and Deep learning by deeplearning.ai.

For India's online learners, 2019 was the "Year of AI." Artificial Intelligence (AI) emerged as the most popular subject among e-learners, accounting for nearly two million enrollments in the last year alone, according to online learning platform Coursera's latest learner trends released yesterday (Dec. The analysis included 45 million learners, including five million Indians, on the platform. AI became accessible to the masses with AI For Everyone, which was launched in February this year by deeplearning.ai, Taught by Ng himself, AI For Everyone is described as a "primer course, geared toward non-technical learners--from marketers and designers to financiers and CEOs." It was the fifth most popular Coursera course of the year globally, and the fourth most popular in India.

BEIJING – Wearing a pair of black-rimmed glasses and a red T-shirt, an 8-year-old Chinese boy is logged in for an online coding lesson -- as the teacher. Vita has set up a coding tutorial channel on the Chinese video streaming site Bilibili since August and has so far garnered nearly 60,000 followers and over 1 million views. He is among a growing number of children in China who are learning coding even before they enter primary school. The trend has been fueled by parents' belief that coding skills will be essential for Chinese teenagers given the government's technological drive. "Coding's not that easy but also not that difficult -- at least not as difficult as you have imagined," said Vita, who lives in Shanghai.

NEW DELHI: There is a need for degree courses and professional training programmes in Artificial Intelligence (AI) with the changing technology landscape, according to industry and academic experts. While the Central Board of Secondary Education (CBSE) has already introduced AI as an optional subject in schools, no full fledged degree courses are available in the area in the country besides few short term courses. "In the digital era and rapidly-evolving business landscape, AI is influencing a range of industries and altering the job roles. The world is looking at AI for its widespread applications in almost every industry and is considered to be the next big technological shift in industrial and smartphone revolution. The need of the hour is to make AI education more focused and easily available," said Varun Dhamija, Vice President, Pearson Professional Programs (PPP). "According to our recent survey, 60 pc Indians believe that the world is shifting to a model where people participate in education over a lifetime which makes it age agnostic.

Technology firm Rose India announces online machine learning course to teach TensorFlow 2.0 using Python programming language. This training course is intended to provide enough knowledge to the students on the fast track to help them in mastering newly released TensorFlow 2.0 mathematical computing framework. Machine learning is the application of mathematics, data analytics, data processing, programming and other field of science for development of program (called model) which automatically decide based on the data it receives. Machine learning in the IT industry relies on the application of software algorithms mostly the mathematical solution to perform tasks of data analysis and prediction. In machine learning software developer uses various mathematical algorithms for programming a machine that can learn from data.

Artificial Intelligence (AI) promises to change each and every aspect of human society. Be it in the form of automatic parking systems, mobile check deposits, social media feeds or countless other technologies that we interact with on a daily basis – Artificial Intelligence is practically everywhere. And pretty soon, it will completely reshape the academic world. Already, educational procedures globally have transformed to integrate different applications of AI. With learning material accessible through smartphones and tabs – students now don't have to rely on conventional books.

You are invited to submit papers for the PEARC20 Conference – Catch the wave that will be held in Portland, July 26–30, 2020. Presentations may address any topic related to advanced research computing, but topics consistent with one or more of the following four technical tracks are of particular interest. Proposals may take several forms as indicated below. Advanced research computing environments – systems and system software: Practice and experience relating to the system (computing hardware, storage hardware, visualization hardware, and network hardware) and system software that drives the "hardware" side of cyberinfrastructure and research computing environments. Examples of relevant topics: GPUs, CPUs, and FPGAs as computational environments; experience with advanced storage systems; hardware and systems for data-centric computing; networking challenges; design and use of visualization environments; funding and operating of advanced research computing facilities (including considerations of cost of locally-sited hardware vs remote hardware such as cloud facilities), systems procurement, systems administration, cybersecurity, practice and experience in facilitating the acquisition, operation, and use of advanced hardware, software, networks and services to securely and sustainably advance research, scholarship, and creativity; performance comparisons and performance aspects of cloud environments.

Greg LaBlanc has been teaching at the Haas School of Business and Berkeley Law since 2005. He teaches primarily in the areas of finance and strategy in the MBA and MFE programs and in Executive Education. He has also worked in competitive intelligence and litigation consulting and has advised consulting teams in finance, marketing, and strategy. His research interests lie at the intersection of law, finance, and psychology, in the area of business strategy and risk management. He is the recipient of teaching awards including the Earl F. Cheit Award for Outstanding Teaching, 2009; and the Haas EWMBA Graduate Instructor of the year, 2004-2005.

CVML Live Web Lecture Series Concept Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in this page. Lectures will consist primarily of live lecture streaming and PPT slides.