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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\20.Client tie to Natural Language.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\26.Run the client app.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\14.Natural Language Understanding - Train the model.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\17.Create a custom model.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\16.Visual Recognition - Train the model.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\21.Client tie to Visual Recognition call setup.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\22.Client tie to Visual Recognition response.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\18.Train and deploy a custom model.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\12.Overview of Watson.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\25.Client tie to get custom model response.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\13.Natural Language Understanding - Set up.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\23.Client tie to custom model - Get an access token.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\15.Visual Recognition - Set up.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\19.Install client SDK package.mp4
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Machine Learning in Mobile Applications\3.2. Server Models - IBM Watson\24.Client tie to call custom model service.mp4
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Machine Learning in Mobile Applications\Exercise Files\Ex_Files_Machine_Learning_Mobile_App.zip |
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Machine Learning in Mobile Applications\1.Introduction\02.What you should know.mp4
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Machine Learning in Mobile Applications\1.Introduction\03.Using the exercise files.mp4
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Machine Learning in Mobile Applications\1.Introduction\01.Machine learning in mobile apps.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\45.Client tie to Natural Language model.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\48.Run the client app.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\46.Client tie to Visual Recognition model.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\43.Core ML - Create Natural Language model.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\44.Core ML - Create Visual Recognition model.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\42.Core ML overview.mp4
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Machine Learning in Mobile Applications\5.4. Client Models - Core ML\47.Client tie to Visual Recognition - Converting model.mp4
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Machine Learning in Mobile Applications\6.5. Understanding the Offerings\51.When to use one or the other of these solutions.mp4
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Machine Learning in Mobile Applications\6.5. Understanding the Offerings\49.Different philosopies of the vendors.mp4
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Machine Learning in Mobile Applications\6.5. Understanding the Offerings\50.Why client-side model vs. server-side.mp4
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Machine Learning in Mobile Applications\7.Conclusion\52.Next steps.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\09.What can I do with machine learning.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\06.Why does this matter for my app.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\05.Required concepts.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\08.Machine learning vs. deep learning.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\07.Training a model.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\04.What is machine learning.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\11.ML frameworks.mp4
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Machine Learning in Mobile Applications\2.1. Introduction to Machine Learning\10.Server-side vs. client-side ML.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\36.Client tie to LUIS.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\34.Machine Learning Studio - Publish model.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\37.Client tie to Custom Vision model.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\32.Machine Learning Studio - Set up.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\31.Custom Vision - Set up.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\39.Client tie to custom model - Set up request.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\38.Client tie to custom model.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\41.Run the clent app.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\30.Language Understanding - Utterances.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\29.Language Understanding - Intents.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\27.Azure Machine Learning overview.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\40.Client tie to custom model - Make the call.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\33.Machine Learning Studio - Create model.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\35.Install client SDK package.mp4
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Machine Learning in Mobile Applications\4.3. Server Models - Azure Machine Learning\28.Language Understanding - Set up.mp4
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