Growing Your ML Career Through Technical Writing and Speaking - Tips and Lessons
Toronto Machine Learning Series (TMLS) via YouTube
Overview
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Learn valuable strategies for advancing your machine learning career through technical communication from Susan Chang, Principal Data Scientist at Elasticsearch, in this 31-minute conference talk from the Toronto Machine Learning Series. Discover the step-by-step journey of building a professional presence through technical writing, from initial blog posts to securing speaking engagements, keynote opportunities, and a book deal with O'Reilly. Gain practical insights on getting started with technical writing, building an engaged audience, and leveraging communication skills to accelerate career growth in the machine learning field. Drawing from personal experiences as the author of "Machine Learning Interviews," explore proven approaches for establishing yourself as a thought leader in the ML community through effective writing and public speaking.
Syllabus
Growing your ML career via technical writing and speaking Tips and lessons
Taught by
Toronto Machine Learning Series (TMLS)