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Machine Learning

Popular course

Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.9
23.5K reviews
duration

60 h

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Writing in the Sciences

Using real examples and exercises, this course teaches scientists how to write more effectively.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.9
10K reviews
duration

30 h

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(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.8
4.3K reviews
duration

23 h

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Divide and Conquer, Sorting and Searching, and Randomized Algorithms

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.8
5.2K reviews
duration

17 h

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International Women's Health and Human Rights

Learn International Women's Health and Human Rights from Stanford University.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.9
1.6K reviews
duration

58 h

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COVID-19 Training for Healthcare Workers

The course is self-paced, so providers can fit their learning around their schedules. Topics covered include symptoms and signs in COVID-19 patients, early patient stabilisation, avoiding the need for intubation, and ventilator management.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.9
6.3K reviews
duration

8 h

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Graph Search, Shortest Paths, and Data Structures

Learn Graph Search, Shortest Paths, and Data Structures from Stanford University. The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives .

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.8
2K reviews
duration

15 h

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Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Learn Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.8
1.3K reviews
duration

15 h

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Stories of Infection

Learn Stories of Infection from Stanford University.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.9
1.8K reviews
duration

12 h

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Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson).

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.8
807 reviews
duration

14 h

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AI in Healthcare

This specialisation is intended for both healthcare providers and computer science professionals, and it provides insights to help the disciplines collaborate more effectively.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.7
1.7K reviews
duration

72 h

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Supporting Parents of a Newborn Baby

In this course, you will learn some core components in supporting parents of newborn babies.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.9
183 reviews
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Quantum Mechanics for Scientists and Engineers 2

This course covers key topics in the use of quantum mechanics in many modern applications in science and technology

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.7
12 reviews
duration

76 h

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AI in Healthcare Capstone

This capstone project takes you on a guided tour of all the concepts we've covered so far in the various classes. We designed this experience around the journey of a patient who develops some respiratory symptoms and seeks care with a primary care provider due to concerns about COVID19.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.7
99 reviews
duration

11 h




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