This module will provide a high-level view of what machine learning is, and how it is being used to build novel applications.
Discuss the intuition behind regression algorithms, how they enable predictions, and analysis techniques.
The world is undergoing significant digital‐transformations, drastically changing the way we conduct business and carry out daily transactions. 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.
Corporations are aggressively adapting to AI wave and hence hiring a large number of ML engineers.
HUGE SUPPLY GAP
Demand for qualified ML engineers far exceeds supply. That means less competition and more pay for trained-experts.
According to World Economic Forum, automation will generate 133 million new jobs by 2022 and these jobs are not going away anytime soon
This is an “Outcome-based Machine Learning course” with the primary focus on employability. At the end of this course, you will be able to analyze and transform data of different kinds, design and implement scalable applications using a wide variety of Machine Learning algorithms, analyze the performance characteristics of these applications, re-engineer them so that they meet performance requirements, and deploy them in a production environment. The course will build a solid technical foundation in Machine Learning algorithms, train in the state-of-the-art Machine Learning tools, and develop deep engineering expertise in building and analyzing real-world applications.
Machine Learning (ML) has become a foundational tool for building the next generation of applications in industries starting from healthcare to financials to retail. No industry or sector is untouched by the potential of Machine Learning algorithms & tools. This course is an in-depth practitioner’s program in Machine-Learning.
This certificate program consists of 2 main courses, to help you develop expertise in Machine Learning.
Dr. Raju Pandey is a Professor Emeritus in the Computer Science department at the University of California at Davis, where he developed and taught graduate and undergraduate courses in programming languages, operating systems, distributed systems, Internet of Things, Wireless sensor networks, Web-based systems, and compilers. He is also the CEO and founder of Thinking Books, a software Infrastructure and Tools company. Dr. Pandey has a deep interest in math and computer science education and has developed novel interactive methods and tools for teaching both algorithmic and system aspects of Computer Science courses.