Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Overview
Tumor pathophysiology plays a central role in the growth, invasion, metastasis and treatment of solid tumors. This class applies principles of transport phenomena to develop a systems-level, quantitative understanding of angiogenesis, blood flow and microcirculation, metabolism and microenvironment, transport and binding of small and large molecules, movement of cancer and immune cells, metastatic process, and treatment response.
Additional Faculty
Dr. Pat D’Amore
Dr. Dan Duda
Dr. Robert Langer
Prof. Robert Weinberg
Dr. Marsha Moses
Dr. Raghu Kalluri
Dr. Lance Munn
Skills you'll practise
Advantages and disadvantages
Advantages
- The real MIT course: lecture notes, problem sets and exams, often with solutions.
- Free, with no sign-up or deadlines.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
Disadvantages
- No certificate, no grading and no forum: you need to be self-driven.
- Many courses are recordings of past semesters and some have notes only, no videos.
- No certificate.
Some points apply to every course of this kind; see how we rank.
Free to learn
- Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.
Taught by
- Dr. Rakesh Jain
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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