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4 - Scaling ML models with Cloud ML Engine\49 - Lab -Scaling up ML.mp4
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4 - Scaling ML models with Cloud ML Engine\44 - Overview.mp4
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4 - Scaling ML models with Cloud ML Engine\51 - Lab Review -Scaling up ML.mp4
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4 - Scaling ML models with Cloud ML Engine\45 - Why Cloud ML Engine.mp4
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2 - Getting Started with Machine Learning\16 - Error Metrics.mp4
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2 - Getting Started with Machine Learning\18 - Precision and Recall.mp4
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2 - Getting Started with Machine Learning\19 - Creating Machine Learning Datasets.mp4
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2 - Getting Started with Machine Learning\06 - Variants of ML model.mp4
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2 - Getting Started with Machine Learning\04 - Types of ML.mp4
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2 - Getting Started with Machine Learning\17 - Accuracy.mp4
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2 - Getting Started with Machine Learning\03 - What is Machine Learning (ML).mp4
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2 - Getting Started with Machine Learning\07 - Framing a ML problem.mp4
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2 - Getting Started with Machine Learning\24 - Create ML Datasets Lab Review.mp4
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2 - Getting Started with Machine Learning\20 - Splitting Dataset.mp4
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2 - Getting Started with Machine Learning\09 - Optimization.mp4
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2 - Getting Started with Machine Learning\23 - Serverless Machine Learning - Lab 1 - Create ML datasets v1.3.mp4
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2 - Getting Started with Machine Learning\11 - Combining Features.mp4
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2 - Getting Started with Machine Learning\14 - Effective ML.mp4
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2 - Getting Started with Machine Learning\10 - A Neural Network Playground.mp4
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5 - Feature Engineering\67 - ML Abstraction Levels.mp4
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5 - Feature Engineering\66 - Hyperparameter Tuning + Demo.mp4
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5 - Feature Engineering\64 - Serverless Machine Learning - Lab 7 - Feature Engineering v1.3.mp4
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5 - Feature Engineering\55 - Numeric.mp4
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5 - Feature Engineering\61 - Wide and Deep.mp4
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5 - Feature Engineering\58 - Categorical features.mp4
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5 - Feature Engineering\52 - Overview.mp4
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5 - Feature Engineering\63 - Feature Engineering Lab Overview.mp4
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5 - Feature Engineering\53 - Good Features.mp4
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1 - Welcome to Serverless Machine Learning on Google Cloud Platform\02 - How to Think About Machine Learning.mp4
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3 - Building ML models with Tensorflow\41 - Lab Intro -Distributed Training and Monitoring.mp4
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3 - Building ML models with Tensorflow\32 - Machine Learning with tf.estimator.mp4
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3 - Building ML models with Tensorflow\39 - Train and Evaluate.mp4
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3 - Building ML models with Tensorflow\40 - Monitoring.mp4
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3 - Building ML models with Tensorflow\42 - Serverless Machine Learning - Lab 5 - Distributed training and monitoring v1.3.mp4
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3 - Building ML models with Tensorflow\27 - Core TensorFlow.mp4
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