Machine LearningMachine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, Facebook extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too!
If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path.
Quantifying System Level Benefits from Distributed Solar and Energy StorageMicrogeneration using solar photovoltaic (PV) systems is one of the fastest growing applications of solar energy in the United States. Its success has been partly fueled by the availability of net metering by electric utilities. However, with increasing solar PV penetration, the availability of net metering is likely to be capped. Households would then need to rely on distributed storage to capture the full benefits of their installed PV systems. Although studies of these storage systems to assess their benefits to the individual household have been examined in literature, the system-wide benefits have yet to be fully examined. In this study, the utility level benefits of distributed PV systems coupled with electricity storage are quantified. The goal is to provide an estimate of these benefits so that these savings can potentially be translated into incentives to drive more PV investment. An agent-based residential electricity demand model is combined with a stochastic programming unit commitment model to determine these effects. A case study based on the California residential sector shows that at 10% penetration levels for households with a 4 kW solar PV panel with a 0.5 kWh battery, the daily systems cost savings per household could be over $5 a day in August.
Heart Disease Detection Using Various Machine Learning AlgorithmsThe objective is build a machine to predict heart disease with the help of various machine learning algorithms. This can prove to be very helpful in medical sector.