Machine learning/ Artificial intelligence camp (4-week boot camp)
what will you learn : Data modeling using python programming for a real-world application. Check out some of the AI application developed for the marketplace : Overview: Machine Learning and AI courses allow kids to directly take part in a technology that will shape the future. They are both tools that allow humans to program autonomous, intelligent machines. What makes this unique from a variety of other courses is that the subject is still relatively new and we are gathering more of an understanding of it every day. In a world run by data, there are plenty of datasets that people can use and build models with. Not only do kids learn Machine Learning and AI concepts, but they can also learn how to engage in higher-level thinking and try to understand deeper relationships between data. Many kids know that French Fries are not healthy, however with ML and AI they try to build a model that fits percentage levels of fat, carbs and other nutrients to the likeliness of developing diabetes. Because this subject can be applied to an infinite number of use cases, kids also develop their knowledge of other subjects. When developing a program that predicts protein structure based on a DNA sample, they also learn biology. There are two different tracks within the ML/AI course, one of which is for beginners to AI/ML who use OpenCV, TensorFlow and Google Cloud API’s to create projects. These students should have taken Python courses previously. Types of projects include Image Recognition, Natural Languages Processing, and Data Analysis. The second track is for older high school students who have learned Calculus. This course is more heavily math-based and students understand the math behind ML models and Neural Networks. They use their math skills to develop their own AI library. Curriculum : We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more! Enroll in the course and become a data scientist today! Cancelation/refund policy: Company provides credit for the amount in case of cancelations.
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