CloudxLab conducted a successful webinar on “Introduction to Machine Learning” on the 15th of October, 2019. It was a 2-hour session in which the instructor explained the concepts based on Understanding Computer Vision with Deep Learning.
More than 250 learners around the globe attended the webinar. The participants were from countries namely; United States, Canada, Australia, Indonesia, India, Thailand, Philippines, Malaysia, Macao, Japan, Hong Kong, Singapore, United Kingdom, Saudi Arabia, Nepal, & New Zealand.
1. What is EICT and how is it related to IIT Roorkee?
Electronics & ICT Academy, part of the IIT Roorkee, is an initiative of Ministry of Electronics and Information Technology (MeitY), Govt. of India.
The E&ICT Academy IIT Roorkee conducts short courses and Faculty Development Programmes (FDP) in the emerging areas to enrich and upgrade subject knowledge and technical skills benefiting faculties, working professionals and Govt. employees.
Every day the world is advancing into the new level of industrialization and this has resulted in the production of a vast amount of data. And, at initial stages, people started considering it as a bane, but later they found out that it’s a boon. So, they started using this data in a productive way. Big data and machine learning are terminologies based on the concept of analyzing and using the same data. Let’s get into more details.
RACE360, an Emerging Technology Conference 2019 (Powered by The Times of India) is happening on Wed, Aug 28th at The Lalit Ashok, Bengaluru. It is presented by REVA University, Bengaluru (REVA Academy for Corporate Excellence (RACE)).
The emergence of Artificial Intelligence has played an essential role in revolutionizing the technical industry. According to many people, Artificial Intelligence is something that makes their work easy; well, it is just one of the qualities of Artificial Intelligence.
What is Artificial Intelligence?
According to Wikipedia, Artificial Intelligence “is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.”
Artificial intelligence can be categorized into several stages, depending upon the role they play. In this article, we will go through all of these stages, including their real-world application.
Henry Ford (Founder of Ford Motor Company) once said- “The only worse thing than training your employees and having them leave is not training them and having them stay”.
Most organizations face this dilemma and sometimes choose not to upskill their workforce only to impede its own growth and relinquish opportunities of gaining competitive advantage. While organizations actively promoting workforce learning & development (L&D) often face indifferent employee behaviours to such initiatives. There are other concerns as well, such as- customised learning platforms, hands on learning, training quality, accreditation, post training support and what not……..
In the current article, I am presenting the results of my experiments with Fashion-MNIST using Deep Learning (Convolutional Neural Network – CNN) which I have implemented using TensorFlow Keras APIs (version 2.1.6-tf).
Generally, Machine Learning (or Deep Learning) projects are quite unique and also different from traditional web application projects due to the inherent complexity involved with them.
The goal of this article is, not to go through full project management life cycle, but to discuss a few complexities and finer points which may impact different project management phases and aspects of a Machine Learning(or Deep Learning) project, and, which should be taken care of, to avoid any surprises later.
Below is a quick ready reckoner for the topics that we will be discussing in this article.