This Machine Learning basics video will help you understand what is Machine Learning, what are the types of Machine Learning, what is Supervised & Unsupervised Machine Learning, what is Reinforcement Learning and will also explain how Machine Learning is being used in various businesses. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results. Machine learning is starting to reshape how we live, and it’s time we understood what it is and why it matters. Now, let us deep dive into this short video on Machine learning and understand the basics of Machine Learning.
Course Length: 4:38
Source: Simplilearn


Internships offer usually one discipline-specific, supervised, structured paid or unpaid, and for academic credit work experience or practice placement.
Work Experience intersperses one or two work terms (typically full-time) into an academic program, where work terms provide experience in a workplace setting related to the student’s field of study and/or career goals.
Community Service Learning (CSL) integrates meaningful community service with classroom instruction and critical reflection to enrich the learning experience and strengthen communities. In practice, students work in partnership with a community-based organization to apply their disciplinary knowledge to a challenge identified by the community.
Field Placement provides students with an intensive part-time/short term intensive hands-on practical experience in a setting relevant to their subject of study. Field placements may not require supervision of a registered or licensed professional and the completed work experience hours are not required for professional certification. Field placements account for work-integrated educational experiences not encompassed by other forms, such as co-op, clinic, practicum, and internship.

