Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Deep Learning Specialization | Coursera

Brief information Course name: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Instructor: Andrew Ng Institution: deeplearning.ai Media: Coursera Specialization: Deep Learning Duration: 3 weeks About this Course This course will teach you the “magic” of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand […]

Structuring Machine Learning Projects | Deep Learning Specialization | Coursera

Brief information Course name: Structuring Machine Learning Projects Instructor: Andrew Ng Institution: deeplearning.ai Media: Coursera Specialization: Deep Learning Duration: 2 weeks About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team’s work, this […]

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, […]

Exploratory Data Analysis | Data Science Specialization | Coursera | Course

      Brief Information Name : Exploratory Data Analysis (the 4rd course of Data Science Specialization in Coursera) Lecturer : Roger D. Peng Duration: 2015-08-05 ~ 08-30 (4 weeks) Course : Data Science Specialization in Coursera Syllabus : [Syllabus] Coursera) DSS) #4) Exploratory Data Analysis Course Content Making exploratory graphs Principles of analytic graphics Plotting systems […]

Getting and Cleaning Data | Data Science Specialization | Coursera | Course

Brief Information Name : Getting and Cleaning Data (the 3rd course of Data Science Specialization in Coursera) Lecturer : Jeff Leek Duration: 2015-07-06 ~ 08-02 (4 weeks) Course : Data Science Specialization in Coursera Syllabus : Syllabus__Getting and Cleaning Data – Coursera In short This course will cover the basic ways that data can be obtained. The […]