![]() ![]() Students will learn how to use the scikit-learn Python library for machine learning during this course. Most of the course activities will use Python with the Pandas library, which students should already be proficient using. The course will include lectures, readings, homework assignments, exams, and a class project. We situate the course components in the "data science life cycle" as part of the larger set of practices in the discovery and communication of scientific findings. Lastly, we will discuss deep neural networks and other methods at the forefront of machine learning. We will cover classification and regression using these models, as well as methods needed to handle large datasets. Model types will include decision trees, linear models, nearest neighbor methods, and others as time permits. We will focus on concepts and methods for predictive learning: estimating models from data to predict unknown outcomes. Machine learning covers predictive and descriptive learning, and bridges theoretical and empirical ideas across disciplines. ISchoolConnect has since become a Google Cloud Build partner through the Partner Advantage program, while continuing to use Google Cloud solutions to further expand its platform.A dramatic increase in computing power has enabled new areas of data science to develop in statistical modeling and artificial intelligence, often called Machine Learning. iSchoolConnect drives down costs and time throughout the search for the right school and program.Ī partnership grounded in elevating learning for everyone Schools that have adopted iSchoolConnect also see its value outside of the admissions office, including among counselors who help students find the right program. “About 80 percent of our new features are direct products of customer feedback, while the other 20 percent are to show users what we can do with AI and ML,” says Ashish. With its strong user base of students and schools, iSchoolConnect continues to make purpose-driven improvements to its platform. “We are all former students as well, so we built this platform to make everyone’s lives easier-both students and admissions professionals.” “I’ve spent a lot of time working in admissions at universities and with businesses offering solutions, which helped us to develop a wish list of capabilities that inform iSchoolConnect innovations,” says Angel Ahmed, Strategic Advisor at iSchoolConnect. Between 20, the company scaled from roughly 10,000 users to millions of users, quickly reducing the strain of dealing with higher education applications for both students and schools. With its platform up and running, iSchoolConnect quickly worked to increase adoption among admissions offices. The agility within our development and release practices is an important differentiator.” “With so much of higher education moving into digital environments, demand for platforms like ours is skyrocketing. This is critical given the intense competition in EdTech,” says Ashish. ![]() “Google Cloud enables us to go to market faster with new features, services, and offerings. ![]() iSchoolConnect also uses Cloud Functions and other native Google Cloud solutions to maintain uptime and manage scale.īy having everything on Google Cloud, iSchoolConnect’s platform and ML teams saved time and money by building their first prototype in 18 months. Google Cloud Armor provides important security controls to maintain compliance with regulations covering student information, while frontend deployments are handled through Firebase. ISchoolConnect hosts its entire production environment on Compute Engine and its database on Cloud SQL. Based on those very positive early experiences, we chose to migrate all our services onto Google Cloud.” “It was a big boost at the start of our business. “We were offered credits from Google Cloud, which gave us the resources to train our ML models,” says Vinay Naik, Chief Technology Architect at iSchoolConnect. Like many startups, the expenses of iSchoolConnect at this stage were restrictive and difficult to overcome. Shortly after its launch in 2017, iSchoolConnect was testing and experimenting to optimize its machine learning models. Save money with our transparent approach to pricingįaster time to production and market with Google Cloud AI Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry ![]()
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