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Machine Learning and
Mozilla Common Voice
Ayah Soufan
MSc Data Science
Agenda
● Introduction
● Machine Learning
● Machine Learning Typers
● Deep Learning
● Mozilla Common voice project
● How to contribute to Arabic language
- The Godfather of deep learning
- Psychologist
- Computer Scientist
- Works for Google(Google Brain)
And the University of Toronto.
Geoffrey Hinton
Machine Learning Tsunami
What is Machine Learning?
“Machine Learning is based on algorithms that can
learn from data without relying on rules-based
programming.”
- McKinsey & Co.
[Machine Learning is the] field of study that gives
computers the ability to learn without being explicitly
programmed.
- Arthur Samuel, 1959
Minst Dataset:
Why Use Machine Learning?
Classification
This slide is taken from Data Mining module from Southampton University 2018
This slide is taken from Data Mining module from Southampton University 2018
Regression
Unsupervised Machine Learning: Clustering
The fundamental goal of machine learning
algorithms is to generalize beyond the training
samples i.e. successfully interpret data that it has
never ‘seen’ before.
Main Challenges of Machine Learning
● Insufficient Quantity of Training Data
● Nonrepresentative Training Data
● Poor-Quality Data
● Irrelevant Features
● Overfitting the Training Data
● Underfitting the Training Data
This slide is taken from Advanced Machine Learning module from Southampton University 2018
This slide is taken from Advanced Machine Learning module from Southampton University 2018
Why Deep Learning?
How Deep Learning Works
Common Voice:
Is Mozilla's initiative to help teach machines how
real people speak
Lunched Languages
In progress Languages
● We need to provide public domain sentences in
Arabic for people to read
● We want to collect sentences (about 5K
sentences to get started)
Our Goal
Arabic Sentences Sheet: https://goo.gl/AccHFc
Thank you!
Any Question?

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Machine Learning and Mozilla Common voice