Deep Learning | Udacity

[latexpage] Brief Information Instructor:?Vincent Vanhoucke (Principal Scientist at Google Brain) Flatform: Udacity Course homepage:?https://www.udacity.com/course/deep-learning–ud730 Duration 2017-08-24~25:?Took Lesson 1, 3-7 without programming assignments. Course Overview Lesson 1: From Machine Learning to Deep Learning Lesson 2: Assignment: notMNIST Lesson 3: Deep Neural Networks Lesson 4: Convolutional Neural Networks Lesson 5: Deep Models for Text and Sequences Lesson […]

Introduction to the Philosophy of Cognitive Sciences | Coursera

Brief Information Course name:?Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences Online platform: Coursera Lecturer: Suilin Lavelle, Kenny Smith, Mark Sprevak, David Carmel, Andy Clark & Barbara Webb in?The University of Edinburgh Duration: 2017-03-20 ~ 04-24 (4 weeks) I started on 2017-03-24. Course information Record Grade Achieved: 100% Grades in detail: [LINK] […]

Machine Learning | by Andrew Ng | Coursera

Brief Information Course name: Machine Learning Online platform: Coursera Lecturer: Andrew Ng?in Stanford University Duration: 2016-12-26 ~ 03-12 (11 weeks) I started on 2017-01-09. Course information Record Grade Achieved: 99.6% Grades in detail:?grade_machine_learning Certificate Key Words Lectures Week 1 Welcome to Machine Learning! This week, we introduce the core idea of teaching a computer to […]

Neural Network for Machine Learning | by Geoffrey Hinton | Coursera

Brief Information Course name 😕Neural Network for Machine Learning Lecturer 😕Geoffrey Hinton Duration: Syllabus Record Certificate Learning outcome About this course Learn about artificial neural networks and how they’re being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We’ll emphasize both the basic algorithms […]

Data Manipulation at Scale: Systems and Algorithms | Data Science at Scale Specialization | Coursera

Brief Information Name :?Data Manipulation at Scale: Systems and Algorithms Lecturer 😕Bill Howe Duration: 2016-01-04 ~ 02-08 (4 weeks) Course : The 1st (1/4) course of Data Science at Scale Specialization? in Coursera Syllabus Record Certificate Learning outcome Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from […]

Machine Learning: Regression | Machine Learning Specialization | Coursera

Brief Information Name : Machine Learning:?Regression Lecturer 😕Carlos Guestrin?and?Emily Fox Duration: 2015-12-28 ~ 2016-02-15 (6 weeks) Course : The 2nd(2/6) course of Machine Learning Specialization?in Coursera Syllabus Record Certificate Learning outcome Describe the input and output of a regression model. Compare and contrast bias and variance when modeling data. Estimate model parameters using optimization algorithms. […]

Machine Learning Foundations: A Case Study Approach | Machine Learning Specialization | Coursera | Course

Brief Information Name : Machine Learning Foundations: A Case Study Approach Lecturer 😕Carlos Guestrin?and?Emily Fox Duration: 2015-10-22 ~ 11-02 (6 weeks) (~11-09) Course : The 1st (1/6) course of Machine Learning Specialization?in Coursera Syllabus Record Certificate Learning outcome Identify potential applications of machine learning in practice. Describe the core differences in analyses enabled by regression, […]