Art and Science of Machine Learning

Start Date: 10/18/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/art-science-ml

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About Course

Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance. In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform.

Deep Learning Specialization on Coursera

Course Introduction

Art and Science of Machine Learning This course provides an introduction to Machine Learning, and its application to a variety of biological and physical phenomena. The course focuses on a wide range of topics, including: - Auditory signal processing (bands and stereo), - Computer vision and computer graphics, - Electrical circuit analysis (linear and quadrature models), - Band gap, - Point estimation from the machine learning literature, - Optimization of neural networks. The course can be taken as a standalone course, or as preparation for the university course on Neural Networks.Introduction & Basic Principles Optimization Levels of Training and Models Art & Science of Music Production This course provides a unique opportunity for students to explore the different sounds and characteristics of musical instruments, and the ways in which they can be represented on a musical instrument. The emphasis in this course is on understanding and appreciation of the technical and musical aspects of making music. The course emphasizes the importance of musical theory and the development of critical musical skills, as well as the application of musical knowledge to specific musical contexts. Instrumental music is a diverse and exciting area that requires a high level of technical and musical knowledge. This course will introduce students to the overall process of making music, and the considerations that students should make for each musical context. The course is designed to be flexible and self-contained, allowing students to focus on the technical aspects of making music

Course Tag

Tensorflow Machine Learning Cloud Computing Estimator

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Outline of machine learning [[Category:Artificial intelligence|Machine learning]]