Since linear and logistic regression are supervised models and are frequently used for exploratory analysis in data mining, would it be accurate to say that the distinction between data mining and machine learning is primarily methodological (discovery vs prediction) rather than algorithmic? Please feel free to share any experiences choosing to use data mining for Energy or any other industry.

I’m sharing a career guide on consulting paths for Energy Data Scientists. It breaks down the three main routes: Strategy, Technical/Specialist, and Implementation consulting. And it explains what the work looks like, typical deliverables, and the skill sets needed. PDF attached. All career guides are in Classroom --> 6.3.

Start or transition into a secure career in the energy sector, regardless of your location, age, sex, education level, or work experience. The energy sector is resilient and strong, with potential for growth and good compensation, with the ability to work remotely or in -person, whether you like coding or not. I am bringing you years of MSc + PhD + Postdoctoral Research + Consultancy (Industry) experience at a very low cost (a similar program would cost 100 times more with no exaggeration). No academic terminology. Real-world beginner-friendly practical skills to secure a career. Advanced courses for PhD preparation also available! This is the 'Energy Data Scientist' program. - At the top of the screen, the 'Map' shows the approximate location of all members of this community. - At the top of the screen, the 'Classroom' includes all the resources you need. - Everything in Classroom comes with support from Dr Giannelos. This includes daily Q&A, and a personalized curriculum. - Items 1.1 - 1.35 are online courses teaching data science for energy. - Items 2.1-2.6 are online courses teaching machine learning for energy. - Items 3.1-3.5 are online courses teaching software engineering for energy. - Items 4.1-4.44 are online courses teaching optimisation for energy. - Items 5.1-5.20 are online courses teaching energy-economics/finance. - Items 6.1a and 6.1b include reports on energy research, written in simple, beginner-friendly language. Access to energy-research is only possible by subscribing to databases like ieee-explore (would cost you hundreds of dollars per month). Dr Giannelos brings you the key points along with his commentary and extra details, all written in simple beginner-friendly language. This will offer you unprecedented insights that will help you stand out. - Item 6.3 includes career guides, job opportunities, and other career-related material. - Item 6.5 includes reports on energy-economics books, written in simple, beginner-friendly language (such access would cost you a lot!)