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| Archived
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4 - Inclusive ML\30 - Statistical Measurements and acceptable tradeoffs.mp4
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4 - Inclusive ML\32 - Simulating Decisions.mp4
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4 - Inclusive ML\27 - Introduction.mp4
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4 - Inclusive ML\28 - Machine Learning and Human Bias.mp4
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4 - Inclusive ML\31 - Equality of Opportunity.mp4
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4 - Inclusive ML\29 - Evaluating Metrics for Inclusion.mp4
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4 - Inclusive ML\33 - Finding Errors in your dataset using Facets.mp4
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5 - Python notebooks in the cloud\39 - Intro to Qwiklabs from Lak.mp4
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5 - Python notebooks in the cloud\50 - Cloud Vision API.mp4
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5 - Python notebooks in the cloud\37 - Development process.mp4
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5 - Python notebooks in the cloud\52 - Cloud Speech API.mp4
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5 - Python notebooks in the cloud\48 - Lab debrief.mp4
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5 - Python notebooks in the cloud\53 - Translation and NL.mp4
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5 - Python notebooks in the cloud\47 - [ML on GCP C1] Analyzing data using Datalab and BigQuery.mp4
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5 - Python notebooks in the cloud\40 - [ML on GCP C1] Rent-a-VM to process earthquake data.mp4
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5 - Python notebooks in the cloud\36 - Demo- Cloud Datalab.mp4
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5 - Python notebooks in the cloud\51 - Video intelligence API.mp4
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5 - Python notebooks in the cloud\55 - Lab Solution.mp4
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5 - Python notebooks in the cloud\43 - Third Wave of Cloud_3.mp4
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5 - Python notebooks in the cloud\38 - Computation and storage.mp4
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5 - Python notebooks in the cloud\54 - Lab- Pretrained ML APIs Intro.mp4
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5 - Python notebooks in the cloud\49 - ML - not rules.mp4
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5 - Python notebooks in the cloud\45 - Third Wave of Cloud_4.mp4
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5 - Python notebooks in the cloud\35 - Cloud Datalab.mp4
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5 - Python notebooks in the cloud\34 - Module Introduction.mp4
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5 - Python notebooks in the cloud\42 - Cloud shell.mp4
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5 - Python notebooks in the cloud\41 - Lab debrief.mp4
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5 - Python notebooks in the cloud\44 - Third Wave of Cloud_3.mp4
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5 - Python notebooks in the cloud\46 - Lab Intro.mp4
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5 - Python notebooks in the cloud\56 - [ML on GCP C1] Invoking Machine Learning APIs.mp4
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3 - How Google does ML\23 - The secret sauce.mp4
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3 - How Google does ML\26 - End of phases deep dive.mp4
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3 - How Google does ML\22 - ML Surprise.mp4
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3 - How Google does ML\21 - Introduction.mp4
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3 - How Google does ML\24 - ML and Business Processes.mp4
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3 - How Google does ML\25 - The Path to ML.mp4
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6 - Summary\57 - Summary-ML Strategy.mp4
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1 - Introduction to specialization\03 - Why Google Cloud.mp4
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1 - Introduction to specialization\01 - Specialization Agenda.mp4
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1 - Introduction to specialization\02 - Why Google.mp4
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2 - What it means to be AI first\10 - It's all about data.mp4
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2 - What it means to be AI first\13 - ML in Applications.mp4
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2 - What it means to be AI first\19 - Transform your business.mp4
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2 - What it means to be AI first\18 - A ML strategy.mp4
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2 - What it means to be AI first\08 - Google Translate.mp4
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2 - What it means to be AI first\14 - Pre-trained models.mp4
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2 - What it means to be AI first\04 - What it means to be AI first.mp4
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2 - What it means to be AI first\05 - Two stages of ML.mp4
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2 - What it means to be AI first\12 - Lab debrief.mp4
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2 - What it means to be AI first\20 - Lab Intro - Non-traditional ML use case.mp4
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2 - What it means to be AI first\17 - Training-serving skew.mp4
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2 - What it means to be AI first\09 - Replacing heuristics.mp4
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2 - What it means to be AI first\15 - The ML marketplace is evolving.mp4
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2 - What it means to be AI first\11 - Lab-Framing an ML problem.mp4
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2 - What it means to be AI first\07 - Google Photos.mp4
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2 - What it means to be AI first\16 - A data strategy.mp4
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