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1
Introduction
2
The London Underground
3
Customer approach
4
What is ML
5
Learning from Data
6
Reinforced Learning
7
Regression
8
Validation
9
Overfitting
10
Regularization
11
Model Creation
12
The Problem
13
Demo
14
Cuddle
15
Users
16
Data
17
Splitting Data
18
Features Engineering
19
AWS Analytics Console
20
Input Variables
21
Fine Tuning
22
Creating a Model
23
Models
24
Deep Learning
25
Machine Imager
26
Graphical Processing
27
Using Machine Learning with Voice
28
Alexa
29
SDK
30
Defining Intents
31
Code
32
Create a skill
33
Realtime prediction
34
lambda function
35
weather API
36
calling the ML system
37
logging requests
38
language support
39
intents
40
sample utterance
41
configuration
42
HTTP endpoint
43
Lambda
44
Request
45
Service Response
46
Echo Sim
47
Recap
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore machine learning and voice recognition technologies for developers in this 59-minute Devoxx conference talk. Dive into the world of predictive capabilities and smart app development using Amazon's Machine Learning engine and Alexa Voice Service. Learn about key concepts such as reinforced learning, regression, validation, and overfitting. Follow along with a practical demo on model creation, feature engineering, and fine-tuning using AWS Analytics Console. Discover how to integrate deep learning, machine imagery, and graphical processing into your projects. Get hands-on experience with Alexa SDK, defining intents, and creating skills. Explore real-time prediction using Lambda functions, weather APIs, and logging requests. Gain insights into language support, sample utterances, and HTTP endpoint configuration for building engaging voice experiences.

Machine Learning for Developers

Devoxx
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