This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
Topics Include:
(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Coursera was founded by Daphne Koller and Andrew Ng with a vision of providing life-transforming learning experiences to anyone, anywhere. It is now a leading online learning platform for higher education, where 64 million learners from around the world come to learn skills of the future.
More than 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, certificates, and degree programs. 2,500 companies trust the company’s enterprise platform Coursera for Business to transform their talent. Coursera for Government equips government employees and citizens with in-demand skills to build a competitive workforce.
Coursera for Campus empowers any university to offer high-quality, job-relevant online education to students, alumni, faculty, and staff. Coursera is backed by leading investors that include Kleiner Perkins, New Enterprise Associates, Learn Capital, and SEEK Group.
Learn something new:
Every course on Coursera is taught by top instructors from world-class universities and companies, so you can learn something new anytime, anywhere. Hundreds of free courses give you access to on-demand video lectures, homework exercises, and community discussion forums. Paid courses provide additional quizzes and projects as well as a shareable Course Certificate upon completion.
This course will utilize the knowledge you learned from the Python Fundamentals course to build machine learning investor classifiers.
CFI has partnered with Machine Learning Edge to bring to you a unique course on the foundations of Python for finance professionals. This course will utilize your Excel knowledge to learn Python in an intuitive and easy way!
Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms.
Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.
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