© 2014 Persontyle Ltd. All rights reserved.

INTRODUCTION TO

MACHINE LEARNING

THE SCHOOL OF DATA SCIENCE

[algorithms that learn from data and examples]

Introduction to

Machine Learning

One day course to give you a high level overview of the field of Machine

Learning and how it differs from human learning. You will develop basic

understanding of several Machine Learning methods that solve different real-

world tasks, from document classification to image recognition.

“Over the past two decades Machine Learning has become one of the

mainstays of information technology and with that, a rather central,albeit usually hidden, part of our life. With the ever increasing amounts of

data becoming available there is good reason to believe that smart data

analysis will become even more pervasive as a necessary ingredient fortechnological progress.”

Dr. Alexander J. SmolaProfessor, Carnegie Mellon University

Machine perception

Computer vision, including object

recognition

Natural language processing

Pattern recognition

Search engines

Medical diagnosis

Bioinformatics

Brain-machine interfaces

Detecting credit card fraud

Stock market analysis

Classifying DNA sequences

Sentiment analysis

Affective computing

Information retrieval

Recommender systems

Machine Learning can appear in many guises. Applications for Machine

Learning include:

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The human brain is said to be the most complex object in the universe and

it gives us incredibly sophisticated pattern matching, learning, and

reasoning abilities. On some fronts, however, the gap with computers is

closing. Computer based Machine Learning algorithms now outperform

humans on tasks such as handwritten digit recognition, traffic sign

recognition, and even on some complex reasoning tasks as demonstrated

by IBM's Watson winning Jeopardy. Driven by Moore's law and the rise of

big data, Machine Learning has spread to be so pervasive today that you

probably use it dozens of times a day without knowing it.

Taking this course will give you a high level overview of the field of Machine

Learning and how it differs from human learning. You will gain

understanding of how the field is structured, the fundamental skills needed

to perform Machine Learning successfully, and current ‘hot’ topics. A strong

emphasis will be placed on illustrative examples and applications to trigger

thinking about what Machine Learning can do for you.

WHAT IS THIS COURSE ABOUT?

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Introduction to

Machine Learning

“Machine Learning will likely be part of almost every business in the near future.”

WHAT WILL YOU LEARN?

At the end of the course the participants will..

+ be able to give examples of problem solving in nature and the role of

evolution

+ understand how the structure and function of the human brain is

different from a computer and how this affects learning in each

+ understand how Machine Learning relates to artificial intelligence

+ know what prerequisite subjects (with associated references) are

needed to perform Machine Learning successfully

+ be able to explain how a number of fundamental Machine Learning

algorithms work (kNN, perceptron, decision tree, ...)

+ have an intuition how some more advanced methods work (random

forest, SVM, Bayes nets, ..)

+ have an overview of current hot topics, state of the art applications,

and pointers for further learning

Introduction to

Machine Learning

WHO SHOULD TAKE THIS COURSE?

Anyone interested in learning what is Machine Learning.

www.persontyle.com© 2014 Persontyle Ltd. All rights reserved.

WHAT SHOULD I BRING?

PREREQUISITES

While it can’t hurt, no prior Machine Learning, programming, or

mathematical background is required.

Persontyle trainers are passionate about meeting each participants

learning needs. They have been chosen both for their extensive practical

Data Science and Machine Learning experience and for their ability to

educate and interact with natural empathy. All of our trainers have worked

on a variety of data science and Machine Learning projects. They share

their academic knowledge and real-world experience and each individual

adds their own unique perspective to the course. Our trainers present in a

style that is informal, entertaining and highly interactive.

Guest Speakers

Business leaders, Data Science practitioners, and academic researchers

covering use cases, case studies and sharing practical experience of

applying Data Science and Machine Learning in their organizations.

COURSE INSTRUCTORS

Along with bringing your laptop and charger, don’t forget to bring loads of

curiosity, scepticism, eagerness to participate and the desire to learn.

“A breakthrough in Machine Learning would be worth ten Microsofts”

Bill Gates, Chairman, Microsoft

Introduction to

Machine Learning

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THE SCHOOL OF DATA SCIENCE The School of Data Science, a project of Persontyle, specializes in designing and delivering

structured, relevant and practical learning experiences for all of us to understand data science in

simple human terms.

RETURN ON INVESTMENT (ROI) CONVINCE YOUR BOSS

We all need to learn how to analyse data, find the value and glean insights.

The advent of the data driven connected era means that analyzing massive

scale, messy, noisy, and unstructured data is going to increasingly form part

of everyone's work.

The School of Data Science learning programs provide a unique investment

opportunity that pay’s for itself many times over.

For corporate bookings or to organize on-site training email

hello@persontyle.com or call now +44 (0)20 3239 3141

www.persontyle.com

World-class Instructors

Develop Practical Data Science Skills

Real World Industry Use Cases

Short Courses For Time Convenience

Value For Money

Register Now

"For the best return on your money, pour your purse into your head."

Benjamin Franklin

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