Machine Learning Introduction for Digital Business Leaders

Machine Learning Introduction
for Digital Business Leaders
Sudha Jamthe
Barcelona Technology School,
Barcelona, Oct 2016
1IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe

Instructor: SUDHA JAMTHE
2
The IoT Show (YouTube)
Past : Mobile, Social Growth Leader
STEM & Regional Economic Development –
Turkey/Czech/Barcelona
CEO IoTDisruption, Technology Futurist
IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe

MACHINE LEARNING IS A PART OF AI
3
Machine
Learning
VR
AR
Voice to Text
Text to Speech
Facial Recognition
Computer Vision
Natural Language Processing
Copyright: Sudha Jamthe

Machine Learning teaches computers
to develop programs with large
volume of data and drive decisions
without human intervention.

What can a computer do with
Machine Learning?
1. Tell the self driving car to stop
2. This newsfeed is spam
3. This photo is the face of Sudha Jamthe
4. Sell this stock now
5. I recommend this movie on Netflix
6. I can confirm if this cell looks like cancer cell
or not

My Machine Learning Dog

Recommendation Engines
Amazon uses ML for video recommendation

Facial Recognition – Google Photos

Computer Vision
Take a series of 2D pictures to create a
3D analysis
e.g. Civilmaps, Robots, Wearable Pills

Health Informatics
Image: Stanford Student research on Cancer from Tobacco usage

Facebook – Spam Detection
• Facebook Spam Detection
• Credit Card company – Fraud Detection
• Pathogen in Blood Samples
11

12
WHICH ONE IS AMY MY ASSISTANT?
CLUE: Amy is a bot
IoTDisruptions.co http://bit.ly/IoTAIBook @sujamthe

Language Translations
Live Demo (Try this on your
computers)http://www.ibm.com/watson/developerclo
ud/services-catalog.html
Speech to Text https://speech-to-text-
demo.mybluemix.net/
http://visual-recognition-demo.mybluemix.net/
https://cloud.google.com/products/machine-learning/
https://cloud.google.com/speech/

GOOGLE DEEPMIND TO PREDICT KIDNEY
PROBLEMS (DEEP LEARNING ALGORITHM)
14
Image source: Digital Trends
IoTDisruptions.com http://bit.ly/IoTAIBook @sujamtheIoTDisruptions.co http://bit.ly/IoTAIBook
@sujamthe

AUTONOMOUS VEHICLES
15
Image: Scania

16
ROBOTS MAKING MACHINES

Marketing
• Customer Segmentation
• Churn Prediction
• Customer Analytics

Machine Learning APIs
• api.ai, Cogito, DataSift, iSpeech, Microsoft
Project Oxford, Mozscape, and OpenCalais.
• Amazon, Google, IBM Watson, and Microsoft
• Amazon AWS
serviceshttps://aws.amazon.com/machine-
learning/

Machine Learning Jobs
IoTDisruptions.co http://bit.ly/IoTAIBook
@sujamthe
19

Who Does Machine Learning Today?
• http://datam.i2r.a-
star.edu.sg/dad/dadMLlab.htm
• https://www.ml.cmu.edu/people/phd-
students.html
IoTDisruptions.co http://bit.ly/IoTAIBook
@sujamthe
20

ML Job Roles in Companies Digital
Transformation
ML Researcher  ML Engineer -> Data
Scientist
ML Product Manager/Business Roles
(EVOLVING)
21

Machine Learning Jobs (6.6K jobs)
• Facebook ML AI/ ML Program Manager
• Siemens - Senior Innovator – (Machine Learning / Deep Learning)
• Chief Machine Learning Scientist - $5m compensation package (FinTech)
• Twitter -Product Manager, Core Ads: Ad Supply Management
• SAP Frontend Developer for Machine Learning development
• GroupOn Director, Business Operations & Analytics
• Apple Sr. Infrastructure Engineer - Applied Machine Learning
• Machine Learning Deployment Engineer, Professional Services, Google Cloud
• Sr. Product Manager in LinkedIn, Splunk, Walmart, Cisco, Amazon
• Computational Biologist, 23andMe
• SAP, Director, Platform Strategy
• Visa, Senior Design Technologist
• CTO, XiQ
• Sr. Product Manager, Capital One Bank Labs
• Business and Market Strategist, Enlitic

Machine Learning Jobs in Spain
• Business Transformation Manager Innovation ,
Zurich Insurance company
• Sr. Product Manager, Knowit
• Computer Vision & Machine Learning Jr,
Touchvie
• Human Machine Interaction Development
Lead, Telefonica

How does Machine Learning Work?

How does Machine Learning Work?
1. Supervised
– Get Training Data, Define factors, Remove biases
2. Unsupervised Learning aka Deep Mining
- No need to define factors, train same
architecture for generic problem solving.

Machine Learning Works by Building
Data Models (a geometric shape of
data*)
image: Techemregence Gaussian mixture model
Training
Data &
Factors
Predict
Outcomes
to make
decisions

Machine Learning Platform
(TensorFlow, ScikitLearn, Theano, Spark Mlib, H20)
The right model
(decision tree, nearest neighbor, neural net, support vector machine,
ensemble of multiple models)
A learning procedure to fit the data
(linear regression, gradient descent, genetic algorithms, bagging,
boosting, and other model-specific methods)
Right data and fit
(bias and variance, overfitting and underfitting, missing data,
data leakage)
Deploying a ML Service into a Product
(Identity, Data Governance, Algorithmic accuracy/
Compliance for industry)
Building Products with Machine Learning
© Sudha Jamthe

Building Products with Machine Learning
Pick a Machine Learning Platform
(TensorFlow, ScikitLearn, Theano, Spark Mlib, H20)
Develop the right stats model (decision tree, nearest neighbor, neural
net, support vector machine) and Fit the data using right learning
procedure ( linear regression, gradient descent, boosting, nagging)
Develop Training Data & Fit
(bias and variance, overfitting and underfitting, missing data,
data leakage)
Defining a ML Service into a Product
(Identity, Data Governance, Algorithmic accuracy/
Compliance for industry)
© Sudha Jamthe
ML Engineer
ML Researcher
ML Product
Manager

AI COMPANIES LANDSCAPE

30
INDUSTRIES IMPACTED BY MACHINE LEARNING

Questions?
http://slideshare.com/sujamthe
Email me sujamthe@gmail.com
Twitter @sujamthe
IoT Disruptions 2020
http://bit.ly/IoTAIBook
31

Machine Learning Introduction for Digital Business Leaders

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