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Write an introduction to an informative and factual blog post titled "The 37 Best Websites to Learn Something New". Forget overpriced schools, long days in a crowded classroom, and pitifully poor results. These websites and apps cover myriads of science, art, and technology topics. They will teach you practically anything from making hummus to building apps in node.js for free with no excuses! It’s hard to imagine how much easier it can possibly be when you have these websites at your fingertips. These websites are the best resources for finding information on any subject, no matter how niche or specific it might be. They’ll teach you everything that you could possibly want to know about anything, including things that are not necessarily related to technology. The presentation should include screenshots of the website with captions for each screenshot. It should contain at least 3-4 screenshots with captions. The presentation should use at least 6-7 slides, excluding the title slide and any other header slides (if applicable). All slides should be relevant to your topic and easy to understand without any writing on them (this is a visual presentation). Videos are uploaded on YouTube, but they must include at least 2-3 video clips with captions. The presentation should be no longer than 2 minutes and 30 seconds. Please keep the presentation primarily in English with some translation of non-essential information. The presentation should include an introduction, about 500 words maximum, stating the purpose of the presentation. The mission of this project is to develop computational tools to assist in the detection of addiction relapse in patients who abuse cannabis (Cannabis). The presentation shall describe the problem of addiction, the novel methods developed to solve the problem, and results of preliminary validations. The novel methods are targeted at detecting relapse in three different areas. These are 1) Automatic Detection of Drug Use Disorder through Data Mining using Machine Learning Models, 2) Automatic Detection of Drug Use Disorder through Data Mining using Support Vector Machines, 3) Automatic Detection of Drug Use Disorder through Detection of Behavioral Changes. The presentation should include an introduction about 500 words maximum, stating the problem of drug abuse and novel ways to detect drug usage. It should also include a brief outline describing the novel methods developed to solve this problem for three different areas, i.e. automatic detection of drug use using machine learning methods, automatic detection of drug use by using support vector machines (SVM), and automatic detection of drug use through behavioral changes. The presentation shall describe the problem of addiction, the novel methods developed to solve the problem, and results of preliminary validations. It shall include a description of the data that were used to validate these novel methods, including an explanation for why each data set was chosen. The presentation should include an introduction about 500 words maximum, state a brief overview of the challenges in mining large social media datasets and a summary of previous studies on this topic. cfa1e77820
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