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Udacity ML path

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Projects

Linear Algebra Refresher Course. Intro to Statistics. Intro to Descriptive Statistics. Inferential Statistics: Learn Statistical Analysis. Intro to Data Science Online Course. Machine Learning. You will learn about and practice a variety of Supervised, Unsupervised and Reinforcement Learning approaches.

Machine Learning

Supervised Learning is an important component of all kinds of technologies, from stopping credit card fraud, to finding faces in camera images, to recognizing spoken language. Our goal is to give you the skills that you need to understand these technologies and interpret their output, which is important for solving a range of data science problems. Reinforcement Learning. Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks.

Machine Learning for Trading.