Feb 08 2020 37 mins
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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
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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/)
- Steven Lipton