7 Simple Steps to Standardizing the ML Experiment (Feb. 16)
Notes from the seventh session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment with guests Dhruv Nair and Michael Cullan.
Putting Machine Learning Models Successfully into Production
Sharing insights from Convergence speakers in advance of the free-to-attend, one-day virtual machine learning conference
7 Simple Steps to Standardizing the ML Experiment (Feb. 9)
Notes from the sixth session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing data with guests Tiffany Fabianac and Dr. Doug Blank.
7 Simple Steps to Standardizing the ML Experiment (Feb. 2)
Notes from the fifth session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing data with guests Susan Shu Chang, Dr. Santona Tuli, and Dr. W. Ronny Huang.
7 Simple Steps to Standardizing the ML Experiment (Jan. 26)
Notes from the third session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing data with guests Jimmy Whitaker, Dr. Abe Gong, and Matt Blasa.
7 Simple Steps to Standardizing the ML Experiment (Jan. 19)
Notes from the third session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing baselines with special guest Dr. Angelica Lo Duca.
7 Simple Steps to Standardizing the ML Experiment (Jan. 12)
Notes from the second session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing how to define scope and success for an ML project.