Into the Unknown
Mathematics for Engineers: The Capstone Course The Hong Kong University of Science and Technology This course is the apex of the entire specialization. It is truly a rewarding journey. I am so excited to learn some basic concepts in computational fluid dynamics (CFD), and to visualize fluid flow around a cylinder with MATLAB. Math is…
Numerical Methods for Engineers The Hong Kong University of Science and Technology This is an excellent course to consolidate your mathematics knowledge with Matlab programming skills. In real life it is usually extremely difficult to find roots, compute quadrature, or solve ordinary differential equations. It is critical to gain the skills to effectively use Matlab….
Exploratory Data Analysis with MATLABMathWorks Even though Python, R and others are getting more and more popular, MATLAB is still irreplaceable and indispensable in some fields. If you are willing to refresh your MATLAB skill set, don’t miss this official course from MathWorks. It is quite easy to sign up an MathWorks account, get a…
Data Science Workflow An important first step is to ask good questions about the data. It helps tune data into actionable information. First question can be “What happened?” And then the second might be “Why did this happen?” At this point, you can go even further and ask “What would happen next?” Finally you may…
Probabilistic Graphical Models SpecializationStanford University A souvenir from Coursera for those days alone and nights sleepless, dedicated to Probabilistic Graphical Models Specialization. In the past half year I learned a lot, thank you Prof. Daphne Koller and Coursera! My Specialization Certificate Courses I am Kesler Zhu, thank you for visiting. Checkout all of my course…
Probabilistic Graphical Models 3: Learning (with Honors)Stanford University This course “PGM Learning” almost killed me – I restudied the 2nd course “PGM Inference” and Bayesian methods before even making progress. The last programming assignment (build a HMM + CLG model for Kinect body poses and actions) is the toughest one in entire specialization, but invaluable…
Probabilistic Graphical Models 2: Inference (with Honors)Stanford University A very challenging course! The programming assignments (clique tree, sampling methods) almost killed me, but gladly I made it. Happy New Year 2018, more challenges coming soon. My Certificate Related Specialization I am Kesler Zhu, thank you for visiting. Checkout all of my course reviews at http://KZHU.ai
Probabilistic Graphical Models 1: Representation (with Honors)Stanford University HAHA, certificate with Honors! PGM, it is said this is one of the hard courses in Stanford, but totally worth it! All Programming Assignments are challenging (Bayesian net, Markov net/CRF, and decision making), but very essential to help understand how PGM works. I definitely will enroll the…
Machine LearningStanford University The course is taught by Andrew Ng. Probably this is the most popular and famous MOOC course on the Internet. It is also the primary reason why I signed up and started my journey on Coursera. I spent almost 3 months to finish this course, I still remember how thrilled I was…