In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum. By the end of the course, you will be able to: 1- Define, differentiate, and provide examples of Artificial Intelligence and three types of Machine Learning: supervised, unsupervised, and reinforcement 2- Understand how different AI and ML approaches can be combined to create compelling applications such as natural language processing, robotics, recommender systems, and web search 3- Implement several types of AI to classify images, generate text from examples, play video games, and recommend content based on past preferences 4- Understand the causes of algorithmic bias and audit datasets for several of these causes 5- Reason about how specific advances in AI may impact our world and your life, for better or for worse. Thanks to the following patrons for their generous monthly contributions that help keep these Crash Courses available for everyone forever: Eric Prestemon, Sam Buck, Mark Brouwer, Timothy J Kwist, Brian Thomas Gossett, Haxiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Zach Van Stanley, Bob Doye, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, David Noe, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
FAQ
Most frequent questions and answers
Co-operative education is a three-way partnership between the university, students and employers. Students apply their classroom knowledge in a series of four-month work experiences. You, the employer, enhance a student’s education, while reaping the unique benefits of CO-OP employees.
- Year-round access to well-motivated, qualified employees.
- Access to potential full-time staff in a controlled environment, reducing your costs and risks.
- Access to a cost-effective source of temporary employees for peak periods or special projects.
- A say in what students learn by working with the university.
- Promotion of your organization as one that believes in developing the potential of young people.
- Access to a great pool of French-speaking, English-speaking and bilingual students.
Most work terms run at least 15 weeks, or four months. They can be no shorter than 13 weeks. Some master’s students, as well as some science and engineering students, are available for 8 or 12 months’ work terms.
All jobs are reviewed by a CO-OP Program Coordinator, and only those providing students with work experience related to their professional development are approved. Administrative activities involved in a job should be less than 10% of the entire workload.
When you first contact SSC, you are assigned one of our Program Coordinators, depending on your discipline of interest. This person is your main contact in our office. As you move through the recruitment process, you also work with a representative from CO-OP Administrative Services, who assists with job posting and interview scheduling.