As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.
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This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and...
Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something,...
À la fin de ce projet, vous serez en mesure de maîtriser les utilisations de la fonction Lambda. Tout au long du projet, vous pourrez apprendre la notion de fonction...
A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc. How do we design these complex chips? Answer: CAD software tools. Learn how...