MLG 006 Certificates & Degrees

Machine Learning Guide

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Full notes at ocdevel.com/mlg/6

Pursuing Machine Learning:

Individuals may engage with machine learning for self-education, as a hobby, or to enter the industry professionally.
Use a combination of resources, including podcasts, online courses, and textbooks, for a comprehensive self-learning plan.

Online Courses (MOOCs):

MOOCs, or Massive Open Online Courses, offer accessible education.
Key platforms: Coursera and Udacity. Coursera is noted for standalone courses; Udacity offers structured nanodegrees.
Udacity nanodegrees include video content, mentoring, projects, and peer interaction, priced at $200/month.

Industry Recognition:

Udacity nanodegrees are currently not widely recognized or respected by employers.
Emphasize building a robust portfolio of independent projects to augment qualifications in the field.

Advanced Degrees:

Master’s Degrees:
Valued by employers, provide an edge in job applications.
Example: Georgia Tech's OMSCS (Online Master’s of Science in Computer Science) offers a cost-effective ($7,000) online master’s program.
PhD Programs:
Embark on a PhD for in-depth research in AI rather than industry entry. Program usually pays around $30,000/year.
Compare industry roles (higher pay, practical applications) vs. academic research (lower pay, exploration of fundamental questions).

Career Path Decisions:

Prioritize building a substantial portfolio of projects to bypass formal degree requirements and break into industry positions.
Consider enriching your qualifications with a master's degree, or eventually pursue a PhD if deeply interested in pioneering AI research.

Discussion and Further Reading:

See online discussions about degrees/certifications: 1 2 3 4

57 episodes

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