ML with
TensorFlow
Eslam saeed
eslamsa3ed50@gmail.com

Eslam saeed
➔ Web developer at Savvy Tech.
➔ Freelancer as a web
developer since 2015.
➔ GDG Alexandria Co-Organizer
➔ Founder at HYPEREM
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Eslamsa3ed50@gmail.com

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Modern
Machine
Intelligence
Real World
Impact
Introduction
to Machine
Learning
Moving onto
MLCC
What’s
TensorFlow
Our Agenda
You should be excited about what’s coming! 😆

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1.
Modern
Machine
Intelligence

“Modern Machine Intelligence is a branch of computer
science that builds systems to perform similar
functions to human intelligence, such as learning,
reasoning, self-correcting, and adapting.
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Modern Machine
Intelligence

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Real World Impact
5- Real-world
4- Google
products
ML has already made a huge impact in the world especially in
the areas of science and health care.

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Image of retina Blood pressure predictions
focus on blood vessels
Person’s risk of a heart
attack or stroke

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Trajectory
prediction

Netherlands
Happy Cows
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Google Products
Using ML

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Machine Learning is Widely
Used at Google

A mobile-first product
● Optimized for the small screen
● Optimized for touch interfaces
● Near-ubiquitous connectivity
● Low power
An AI-first product
● Learns and adapts
● Assists and anticipates
● Conversational and interactive
● Context aware
● Trustworthy

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Google Translate

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Street nameStreet number
Street View
Sign
Business facade
Sign
Business name
Traffic light
Traffic signStreet number

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[glacier]
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Google Photos

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Smart reply
in Gmail
10%
of all responses
sent on mobile

“
What’s Machine
Learning ?
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ML is the process of training a piece of
software, called a model, to make useful
predictions using a data set.
This predictive model can then serve up
predictions about previously unseen data.

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Define a ML
problem and
propose a
solution
Construct
your dataset
Transform
data
Use the
model to
make
predictions
Train a model
Idea to Implementation

ML Use Cases
Structured Data
Classification/ Regression
● Customer Churn Analysis
● Product Diagnostics
● Forecasting
Recommendation
● Content Personalization
● Product X-Sells/Up-sells
Anomaly Detection
● Fraud Detection
● Asset Sensor Diagnostics
● Log Metric Anomalies
Unstructured Data
Image Analytics
● Identify damaged shipments
● Explicit Content Classification
● Identify “styles” in images
Text Analytics
● Call Center log analysis
● Language Identification
● Topic Classification
● Sentiment Analysis

blog.tensorflow.org youtube.com/tensorflow
Launching new resources for learning and sharing
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A repository of pre-trained
model components, packaged
for one-line reuse
Easiest way to share and use
best approaches for your task
tensorflow.org/hub
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Completely
free Machine
learning
course
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g.co/machinelearningcrashcourse

Questions ?
Do you’ve any question
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THANKS!
Any questions?
You can find me at @eslamsa3ed11 &
eslamsa3ed@yahoo.com
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Contact me
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/eslam.0.saeed
/eslamsa3ed
@eslamsa3ed11
eslamsa3ed50@gmail.com

CREDITS
Special thanks to all the people who
made and released these awesome
resources :
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▸ Photographs by Death to the
Stock Photo (license)
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