Roorkee: In keeping with the shift towards digitisation that the Covid-19 outbreak has led to, IIT-Roorkee is soon going to launch an online programme on the use of artificial intelligence (AI) in banking systems. "Artificial intelligence has the potential to transform banking and improve compliance. The Covid-19 crisis along with growing security and privacy concerns has reinforced the need to leverage new-age skills to tackle emerging challenges," AK Chaturvedi, director of the institute said. The institute is collaborating with WileyNXT, a digital education solutions organisation for the programme. The four-month joint certification programme will train IT professionals and graduates in implementing AI in the banking sector.

Predicting House Prices with Regression using TensorFlow In a video that plays in a split-screen with your work area, your instructor will walk you through these steps: Data normalization. Create a neural network model. Train the model to fit the dataset. Create, train, and evaluate a neural network in TensorFlow. In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic regression problem.

Go Moment is the home of the smart concierge Ivy that is well known in the hospitality industry. Singh is also a product design expert and public speaker, and blogs at RajSinghLA.com. Rathinam is also well known and loved in the Seattle tech community and as a mentor to local startups. I caught up with the two of them, in the course of curating and hosting the Rethink CX webinar series sponsored by Freshworks. Like Paddy, I live in the Seattle, Washington area.)

A SAAS solution for Organizations to enable Face Recognition for security verification and to authenticate users for online meetings, webinars, conferences and onsite meeting or events. Easily engage guests to pre-screen and gain access for your next meeting!

As annoying as this sounds, it is very essential in this field. I think it is safe to assume that anyone reading this has some basic to intermediate knowledge in mathematics from high school. You would need to dive deep a little further and learn some concepts in statistics, algebra and other topics. I would compile a list of topics and resources to help you study math for data science but it has already been perfectly done in this article by Ibrahim Sharaf ElDen. As a beginner, do not jump straight into learning to write code for machine learning but rather, learn the core concepts of programming in general.

Hi Everyone welcome to new course which is created to sharpen your linear regression and statistical basics. In this course I have explained hypothesis testing, Unbiased estimators, Statistical test, Gradient descent. End of the course you will be able to code your own regression algorithm from scratch.Who this course is for: Hi my name is Jay working as data scientist in a leading MNC, I have completed my masters degree adv mathematics and FEM . I love making educational video and content.

Go Moment is the home of the smart concierge Ivy that is well known in the hospitality industry. Singh is also a product design expert and public speaker, and blogs at RajSinghLA.com. Rathinam is also well known and loved in the Seattle tech community and as a mentor to local startups. I caught up with the two of them, in the course of curating and hosting the Rethink CX webinar series sponsored by Freshworks. Like Paddy, I live in the Seattle, Washington area.)

Intern at our partner companies for 12-16 weeks and gain first hand industry experience. Most of the companies hire our interns for Entry level and Experienced roles before closure of internships. Take part of in-house research on AI, IoT, VLSI and ML for 12-16 weeks and solve industry challenges.... Interested students opt for full time research in-house or co-innovation at a collaborating university. Most of our students started at DesignNation, are now pursuing PhD and Post-doctoral studies at USA, Canada and Australia. More than 70% jobs, now are upgraded to new technologies. Get ready for change and avail better pay by upgrading... yourself to new technologies.

For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions. A study last year found that training an off-the-shelf AI language-processing system produced 1,400 pounds of emissions – about the amount produced by flying one person roundtrip between New York and San Francisco. The full suite of experiments needed to build and train that AI language system from scratch can generate even more: up to 78,000 pounds, depending on the source of power. But there are ways to make machine learning cleaner and greener, a movement that has been called "Green AI." Some algorithms are less power-hungry than others, for example, and many training sessions can be moved to remote locations that get most of their power from renewable sources.

Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R. Train and Test a Neural Network Model to read hand written numbers and return the digit. Practice using One Hot Encoding to build a classifier. Train and Test a Neural Network Model to read hand written numbers and return the digit. Practice using One Hot Encoding to build a classifier. In this 1-hour long project-based course, you will learn how to build a Neural Network Model using Keras and the MNIST Data Set.