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Machine Learning with Kevin Scott
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 - 10 years of experience developing for a variety of Apple platform
 - Helping dev shops which lack experience with Apple platforms and Swift
 
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What is Machine Learning
- Teaching Machines to Predict Based On Data
 - Having Machines Mimic Behavior
 - Subgroup with Artificial Intelligence
 
How Developers and Companies Can Get Started
- Data Preparation
 - “There's the joke that 80 percent of data science is cleaning the data and 20 percent is complaining about cleaning the data”
 - Using Pre-Trained Models
 - Using AWS SageMaker
 - JS vs Python vs R vs Julia vs Swift
 - The Advent of Server-Side Swift in ML
 - Preparing Enough Data or Using Synthetic Data
 - Using Augmented Data
 
What are the different types of Machine Learning?
- Statistical Learning using Structured Data
 - Transfer Learning with Neural Networks
 - Model Training
 
Examples and Usage of Machine Learning
- Predictions Based On Structured Data
 - Sound Filtering
 - Computational Photography
 - Image Classification and Enhancement
 - Health Care (while respecting Privacy)
 - Augmented Reality
 - Audio Transcription
 
Where And How To Implement ML
- Any Apps which use Rich Media (i.e. Image, Audio, etc...)
 - Server-Side vs Client-Side
 - Future of using ML with Text
 - What's the future of Machine Learning
 
Social Media
Emailleo@brightdigit.com
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Credits
Music from https://filmmusic.io"Blippy Trance" by Kevin MacLeod (https://incompetech.com)
License: CC BY (http://creativecommons.org/licenses/by/4.0/)
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