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7 Simple Steps to Standardizing the ML Experiment (Feb. 23)
Notes from the eight session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment with…
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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…
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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…
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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…
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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…
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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…
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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…
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Comet Office Hours: Recap for August 29, 2021
Notes from this week’s Comet Office Hours: Baseline models and experiment management, pitching the need for better data foundations, and…
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Comet Office Hours: Recap for August 22, 2021
Notes from this week’s Comet Office Hours: Revisiting the fundamentals and Harpreet’s Google Search crash course
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Comet Office Hours: Recap for August 15, 2021
Notes from this week’s Comet Office Hours: Tips to avoid (and cope with) burnout; the challenges of domain-dependent ML projects