A TWO-WEEK FACULTY DEVELOPMENT PROGRAMME on MACHINE LEARNING TO DEEP LEARNING: TRENDS & CHALLENGES
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. The purpose of machine learning is to discover patterns in the data and then make predictions based on often complex patterns to answer business questions, detect and analyze trends and help solve problems. Machine learning is effectively a method of data analysis that works by automating the process of building data models.
Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. It is the buzz word of today's Artificial Intelligence (Al) industry.
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