Harvard Business Review. 60+ educational resources for teaching yourself anything. From its inception, the web has always had appeal as an educational resource. Recognising the potential for remote learning, in 2002, the launch of OpenCourseWare at MIT helped propel the initiative into the spotlight, with many universities following suit and providing quality educational material available through the web. No longer is there an excuse for anyone with access to the web to say that education is outside of their reach.
This collection of links and applications highlights just the tip of the iceberg of educational resources that are available on the web. If you are interested in teaching yourself a new skill or learning a new topic indepth in your spare time, hopefully some of these will be of use. University Material Open Yale - Open Yale Courses provides free and open access to a selection of introductory courses taught by distinguished teachers and scholars at Yale University. Open Courseware – Notre Dame University contribution to open courseware. Video Material Courses. Knowledge Sharing Tools and Methods Toolkit - home. It’s Predictive Analytics, not Forecasting! « Predictive Analytics Times - News and ResourcesPredictive Analytics Times – News and Resources.
ONLINE OPEN-ACCESS TEXTBOOKS. Search form You are here Forecasting: principles and practice Rob J Hyndman George Athanasopoulos Statistical foundations of machine learning Gianluca Bontempi Souhaib Ben Taieb Electric load forecasting: fundamentals and best practices Tao Hong David A. Modal logic of strict necessity and possibility Evgeni Latinov Applied biostatistical analysis using R Stephen B. Introduction to Computing : Explorations in Language, Logic, and Machines David Evans.
Book: stats done wrong. Timeline-of-statistics.pdf. Difference Between Data Mining VS Predictive Analytics VS Machine Learning etc. If you are a beginner in data mining and want to become at least familiar with the main concepts and terminologies, maybe the first step would be to acquire a clear bird’s eye view about the whole domain – definition, inception, classification, influences, trends – but without diving into too deep and scholastic details.
And, of course, you do that by searching on Internet and skimming whatever books you have at hand. You might say that one day would be more than enough to get an overall understanding about this domain. But you don’t have a clue about the trouble you’re getting into. These are some of the questions that I’m sure you’ll start asking yourself: How is data mining related to predictive analysis? How is it related to knowledge discovery? This article wants to shed some light on this questions and present all these concepts in a very simple manner. Data Mining Definition Let’s quickly start with a definition, of course. Data Mining Inception Influences Data Mining vs Statistics. Mind Map: Data Mining. Data Mining Techniques Taxonomy.