Data Analytics Workouts

As part of understanding neural networks I was reading Make Your Own Neural Network by Tariq Rashid. A review is below: Make Your Own Neural Network by Tariq Rashid My rating: 4 of 5 stars The book itself can be painful to work through, as it is written for a novice, not just in algorithms and data analysis, but also in programming. For the neural network aspect, it jumped between overly simplistic and complicated, while providing neither in enough detail. That said, by the end I found it a worthwhile dive into neural networks, since once it got to the programming structure, it all made sense, but only because I stuck with it. View all my reviews

My list is kind of paltry, but I’ve sat through others or started many but decided against finishing. The best courses I’ve finished have been along the lines of project management: Project Management for Software Engineers Project 2013 Fundamentals for Business Professionals I’ve also sat through this, and useful, although very rudimentary: Creating and Leading Effective Teams for Managers I do my own reading for data science, and have my own side projects, but I’ve also taken some data science courses via Pluralsight. The beginner demos are done well, although less informative than the intermediate ones, which are ultimately more useful. For the latter, I typically do simultaneous coding on my own data sets, which helps learn the material. Beginner Understanding Machine Learning Understanding Machine Learning with R Intermediate Understanding and Applying Logistic Regression (using Excel, Python, or R) Data Mining Algorithms in SSAS, Excel, and R ...