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

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

Machine Learning

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 stop2. This newsfeed is spam3. This photo is the face of Sudha Jamthe4. Sell this stock now5. 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 analysise.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

WHICH ONE IS AMY MY ASSISTANT?

CLUE: Amy is a botIoTDisruptions.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)

Image source: Digital Trends

IoTDisruptions.com http://bit.ly/IoTAIBook @sujamtheIoTDisruptions.co http://bit.ly/IoTAIBook @sujamthe

AUTONOMOUS VEHICLES

Image: Scania

IoTDisruptions.co http://bit.ly/IoTAIBook @sujamthe

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

Who Does Machine Learning Today?

• http://datam.i2r.a-star.edu.sg/dad/dadMLlab.htm

• https://www.ml.cmu.edu/people/phd-students.html

ML Job Roles in Companies Digital Transformation

ML Researcher ML Engineer -> Data Scientist

ML Product Manager/Business Roles (EVOLVING)

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?

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

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)

ML Engineer

ML Researcher

ML Product Manager

AI COMPANIES LANDSCAPE

INDUSTRIES IMPACTED BY MACHINE LEARNING

Questions?

http://slideshare.com/sujamthe

Email me sujamthe@gmail.com

Twitter @sujamthe

IoT Disruptions 2020http://bit.ly/IoTAIBook

Machine Learning Introduction for Digital Business Leaders

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