If you are interested in Math, Physics and ML education at the K12 level, do read on.
With individualized attention, competent guidance, and a focus on hands-on problem-solving, Math and Physics lessons can be a transformative educational experience. GoEdAce is coming soon with comprehensive tutoring services in these subjects. And if you are curious about all the buzz around artificial intelligence (AI), and machine learning (ML), then we have good news right away.
Developed collaboratively by a physicist with significant teaching experience including K-12 teaching experience, and an algorithm development expert with decades of experience in biotechnology, GoEaAce brings you a compelling ML curriculum in a book format for middle and high school students. Here are some quick highlights of this program:
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Prerequisites: No advanced math or programming background is assumed.
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8 chapters, 30 worksheets, and more than 100 fully worked-out pen-and-paper and computer problems.
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Learn Python programming with unique CodeTrailMaps​
How is school-math used for Machine Learning? From concepts of rate and slope, the gradient descent algorithm (GDA), a fundamental optimization algorithm used in Machine Learning, is developed, and then the GDA is used to solve linear regression, logistic regression, and neural nets. Standard composite functions of sigmoids are used to introduce neural nets. Through these models, students learn a complete machine learning workflow, including data normalization, model selection, finding model parameters using a pertinent cost function, train/test cycles, and the construction of confusion matrices to evaluate model performance. Ideas of dimensionality reduction with principal component analysis are also covered as one more application of GDA. Check our video for more details on our Machine Learning program:
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