[FreeCoursesOnline Me] [LYNDA] Machine Learning in Mobile Applications [FCO] Torrent Download Locations

[FreeCoursesOnline.Me] [LYNDA] Machine Learning in Mobile Applications [FCO]
    1.Introduction
          01.Machine learning in mobile apps.mp4 -

          02.What you should know.mp4 -

          03.Using the exercise files.mp4 -

    2.1. Introduction to Machine Learning
          04.What is machine learning.mp4 -

          05.Required concepts.mp4 -

          06.Why does this matter for my app.mp4 -

          07.Training a model.mp4 -

          08.Machine learning vs. deep learning.mp4 -

          09.What can I do with machine learning.mp4 -

          10.Server-side vs. client-side ML.mp4 -

          11.ML frameworks.mp4 -

    3.2. Server Models - IBM Watson
          12.Overview of Watson.mp4 -

          13.Natural Language Understanding - Set up.mp4 -

          14.Natural Language Understanding - Train the model.mp4 -

          15.Visual Recognition - Set up.mp4 -

          16.Visual Recognition - Train the model.mp4 -

          17.Create a custom model.mp4 -

          18.Train and deploy a custom model.mp4 -

          19.Install client SDK package.mp4 -

          20.Client tie to Natural Language.mp4 -

          21.Client tie to Visual Recognition call setup.mp4 -

          22.Client tie to Visual Recognition response.mp4 -

          23.Client tie to custom model - Get an access token.mp4 -

          24.Client tie to call custom model service.mp4 -

          25.Client tie to get custom model response.mp4 -

          26.Run the client app.mp4 -

    4.3. Server Models - Azure Machine Learning
          27.Azure Machine Learning overview.mp4 -

          28.Language Understanding - Set up.mp4 -

          29.Language Understanding - Intents.mp4 -

          30.Language Understanding - Utterances.mp4 -

          31.Custom Vision - Set up.mp4 -

          32.Machine Learning Studio - Set up.mp4 -

          33.Machine Learning Studio - Create model.mp4 -

          34.Machine Learning Studio - Publish model.mp4 -

          35.Install client SDK package.mp4 -

          36.Client tie to LUIS.mp4 -

          37.Client tie to Custom Vision model.mp4 -

          38.Client tie to custom model.mp4 -

          39.Client tie to custom model - Set up request.mp4 -

          40.Client tie to custom model - Make the call.mp4 -

          41.Run the clent app.mp4 -

    5.4. Client Models - Core ML
          42.Core ML overview.mp4 -

          43.Core ML - Create Natural Language model.mp4 -

          44.Core ML - Create Visual Recognition model.mp4 -

          45.Client tie to Natural Language model.mp4 -

          46.Client tie to Visual Recognition model.mp4 -

          47.Client tie to Visual Recognition - Converting model.mp4 -

          48.Run the client app.mp4 -

    6.5. Understanding the Offerings
          49.Different philosopies of the vendors.mp4 -

          50.Why client-side model vs. server-side.mp4 -

          51.When to use one or the other of these solutions.mp4 -

    7.Conclusion
          52.Next steps.mp4 -

    Exercise Files
          Ex_Files_Machine_Learning_Mobile_App.zip -

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