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This is online crash course gets you up to practice Machine Learning including: Setting expectations for machine learning,Tools of the trade (Python, R, TensorFlow, PyTorch, Jupyter, Notebooks, etc.),Training and inference characteristics (memory, batch latency,throughput, etc.),etc….
*you can listen, watch, Q&A with speakers from anywhere around the world.
* 32 topics in 8 hours (4 sessions and 2 hours/session).
*Real-time interactions with instructors, Watch recorded videos any time after.
*code labs, projects, and real-time discussion/Q&A on Slack group
Sign up: https://learn.xnextcon.com/course/coursedetails/C19021216
Machine learning is a complex field that spans mathematics, software, and computer systems. How do engineers work effectively with data scientists in building next generation applications with machine learning? What is the most effective way to deliver consistent value? What are common mistakes to avoid?
In this course, we present a set of best practices for software and systems engineers that can be applied to machine learning application development. The course covers the full gamut of required knowledge, ranging from software tools, model selection, and infrastructure to deployment and quality assurance processes.
* Session 1: Feb. 12th Tue 4pm-6pm PST
* Session 2: Feb. 14th Thu 4pm-6pm PST
* Session 3: Feb. 19th Tue 4pm-6pm PST
* Session 4: Feb. 21st Thu 4pm-6pm PST
Speaker/instructor:Garrett Smith,creator of Guild AI
Sean Ma,research manager
For more online AI tech talks, courses, bootcamps :https://learn.xnextcon.com