As you work from home due to COVID-19 lockdown, here comes an opportunity to upgrade your emerging tech skills including Artificial Intelligence (AI), thanks to a new initiative that was launched by IT industrys apex body Nasscom and Union IT Ministry. As a result, the Foundational Artificial Intelligence (AI) course from learning platform SkillUp Online will be available for free for everyone till May 15, said Nasscom. "The novel coronavirus has thrown up exceptional challenges across the world and industries alike. While we continue to fight these challenges as a nation, amidst lockdown and remote working scenarios, it is extremely important that we continue harnessing our skill sets on emerging technologies to become future ready," said Debjani Ghosh, President, Nasscom. This course is aligned to the industry's recommended Foundation AI curriculum (retail price Rs 6,800).

The NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing. Through self-paced labs and, partnering with Scan to deliver instructor-led workshops, DLI teaches the latest techniques for designing, training, and deploying neural networks across a variety of application domains. As well as self-paced labs, Scan can also come to your place of work meaning you don't have to leave the office to be able to solve your deep learning and accelerated computing problems. You can also take part in self pace online DLI courses via the NVIDIA DLI website.

The NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing. Through self-paced labs and, partnering with Scan to deliver instructor-led workshops, DLI teaches the latest techniques for designing, training, and deploying neural networks across a variety of application domains. DLI also teaches you how to optimise your code for performance using NVIDIA, CUDA and OpenACC. DLI provides unique hands-on training using the latest AI frameworks, SDKs, and GPU-accelerated technologies. Students get exposure to industry experts, along with the training and insights to help solve some of the world's most challenging problems with deep learning and accelerated computing.

If you are a Software or AI developer looking to accelerate your applications, you don't want to miss our free webinar series on Vitis and Vitis AI development environments! Learn about adapting the architecture of your deployment platforms to meet the growing challenges and unique requirements of your applications, while continuing to use high-level frameworks like TensorFlow and Caffe, and develop in familiar programming languages like C,C and Python. Tune in every Thursday where we will cover AI inferencing solutions, open-source performance-optimized libraries, comprehensive developer tools, and design methodology. Click on your preferred time and register below for the modules you are most interested in!

It's fair to say that Machine Learning is taking over the world. In addition, Deloitte Global predicts that the number of machine learning pilots and implementations will double in 2018 compared to 2017, and double again by 2021. These projections mean that there is also a growing demand for professionals who know the ins and outs of machine learning. If you've always wanted to enroll in a course that provides you with the practical knowledge to make your future brighter, now is the perfect time tolearn machine learning. Before getting into the different ways to learn machine learning, let's take a look at the basics of machine learning, as well as the different machine learning types and applications.

Coursera has introduced a new tool that helps universities identify courses on the company's online learning platform that most closely match their on-campus offerings. The CourseMatch solution uses machine learning and natural language processing to "automate the matching and minimize the need for human curation," according to a company blog post. CourseMatch can "ingest" on-campus course catalogs in more than 100 languages and map them to the most relevant Coursera courses in any of the languages available on the platform. It then returns up to five "matches" along with a relevance score, with higher scores given for stronger matches. Some 1,800 schools globally have already used the tool to match more than 2.6 million on-campus courses with Coursera equivalents, according to the blog post.

You may take anywhere between 6-8 months to complete this course. Expected time commitment is 8-10 hours per week. Prior programming experience & OOPS concepts in any language is a must, knowledge of Python is recommended but not mandatory. You may try out out our Python for Developers course for strengthening your Python Concepts. You should be familiar with Git-Github basics.

Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.

Data science is one of the most well-payed jobs in the contemporary market. It is even considered as the hottest job of the 21st century. Data science has been a game-changer across every industry. With high-level digitization of processes, the generation of data is at peak and thus data science technology and tools are deployed to drive more productivity across organizations. This tech-field as a whole has a bunch of perks to provide including technologies for Big Data, Data Mining, Machine Learning, Data Analysis, and Data Analytics.

It's fair to say that machine learning is taking over the world. In addition, Deloitte Global predicts that the number of machine learning pilots and implementations will double in 2018 compared to 2017, and double again by 2021. These projections mean that there is also a growing demand for professionals who know the ins and outs of machine learning. If you've always wanted to enroll in a course that provides you with the practical knowledge to make your future brighter, now is the perfect time tolearn machine learning. Before getting into the different ways to learn machine learning, let's take a look at the basics of machine learning, as well as the different machine learning types and applications.