Develop essential life sciences skills with expert instruction and practical examples.
What would an "optimal world" look like to you. Would people get along better. Would transport run faster.
Would we take better care of our environment. Many data scientists choose to optimize by using pre-built machine learning libraries. But we think that this kind of 'plug-and-play' study hinders your learning.
That's why this course gets you to build an optimization algorithm from the ground up. In Artificial Intelligence: Optimization Algorithms in Python, you'll get to learn all the logic and math behind optimization algorithms. With two highly practical case studies, you'll also find out how to apply them to solve real-world problems.
In the first case study, we'll optimize travel plans for six friends who want to fly out from the same airport. In the second case study, we'll optimize the way university administrators allocate dorm rooms to new students. On the way, we'll learn what optimization algorithms are.
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