AI/ML category courses
Artificial Intelligence in general and Machine Learning in particular (AI/ML) have ushered a new era in many industries, especially in the last two years. This course gives you an overview of AI, its components like Machine-Learning, Natural Language Processing, Robotics, and Computer Vision. You will also explore various applications like Chat-BOTS, Self-driving-cars and many more. You will also debate the ethical concerns, and the topic of Man Vs Machine and collective-intelligence.
This course is part of the ML Engineer Master Certificate. It provides the basics of Data-Science, Statistics, Python, and tools before you start studying Machine Learning.
- Teacher: Raju Pandey
We are in the cognitive era. Enterprises and even nations are vying for a leadership position in AI/ML technology and applications.
With a great deal of attention given to Machine Learning (ML) and a wide spectrum of applications in real life, many are beginning to seek a better understanding of Machine Learning and the many benefits it offers to organizations globally. Machine Learning (ML) and Deep Learning (DL), and Natural Language Processing (NLP) – are at the forefront of major innovations, some examples being image identification, marketing campaign customization, genomics, self-driving car navigation, and thousands of other applications from every possible domain.
- Teacher: Raju Pandey
This course is about Deep Learning, (also known as deep structured learning), which is part of a broader family of Machine Learning methods, based on Artificial Neural Networks.
