AI in eSports
Evolve Machine Learners

What is Machine Learning?

Machine Learning Defined
GPU chipmaker NVIDIA defines machine
learning as "the practice of using algorithms
to parse data, learn from it, and then make a
determination or prediction about something
in the world."

eSports:
● eSports are a form of
competition using video games.
● Most commonly, eSports take
the form of multiplayer video
game competitions, particularly
between professional players.
● The most common video game
genres associated with eSports
are real-time strategy, fighting,
FPS and multiplayer online
battle arena (MOBA).

Notable Tournaments:
● The International(Dota 2)
● League of Legends World
Championship
● Evolution Championship Series
● Intel Extreme Masters(CS:GO,
Quake Live, Hearthstone: Heroes
of Warcraft)

eSports going
Mainstream:
Global esports revenue will grow
26% by 2020 as it attracts a more
mainstream audience.
This increase will be fueled by a
viewership projected to grow 12%
each year and a swelling number of
third-party investments.

Big Games:
League of Legends attracts more players while Dota 2 draws
higher prize pools

OpenAI vs Best Dota 2 Players:
“OpenAI first ever to defeat world's best players in competitive eSports. Vastly more
complex than traditional board games like chess & Go.”
Elon Musk
This is a step towards building AI systems which accomplish well-defined goals in
messy, complicated situations involving real humans.

eSport growing Audience:
Audience watched over 2.1 billion hours of content between April and
October in 2017, and that number is expected to grow by about 12
percent each year as the industry reaches mainstream audiences.

eSports going
Mainstream:
Advertisers and investors finally
take notice of esports’ access to
key audiences, with contributions
accounting for 85% of the
worldwide market.
Video game companies like Activision
Blizzard, Riot Games and Valve continue to
support their flagship esports titles with
player franchising agreements and larger
prize pools.

Fan.ai:
FanAI is an esports audience data
platform powered by artificial intelligence
to identify and optimize audience
monetization opportunities.
Their system understands each fan,
individually to provide actionable data to
sponsors and brands for advertisement.
FanAI enables esports teams, leagues, game
publishers, event organizers, broadcasters,
agencies, and brands to understand, grow,
predict, and monetize esports audiences by
analyzing purchasing behavior, psychographic
details, and social and demographic
information.

Supremacy:
Supremacy is an AI coach for eSports. It’s AI
will automatically learn your training habits, skill
level and create the perfect training schedule
for you to follow.
Together with an impressive team of scientists
in the fields of HRV (Heart-Rate Variability) and
Neuroscience from the Washington University
of Medicine and UCLA, the team have begun
building 'The Game:BRAIN AI': an all-in-one
artificial intelligence package for budding
esports professionals and players looking for the
most efficient route to better gameplay.

Supremacy:
constantly
measuring your
ability to react to
certain situations
and how well you
aim and use your
keyboard & mouse.
Game:Skills
analyze your
competitive
matches to
understand your
behaviour in "Set
strategies" and
controlled executed
tactics.
Game:Control
keeps a behavioural
profile of you and
your enemies, and
measures your
ability to adapt and
play unpredictable
whilst still being
able to predict the
enemies moves.
Game:Sense
measures your
ability to be resilient
to mental
challenges, stress
and be in control of
your subconscious
body reactions.
Game:Flow

Future of AI in eSports:
● DeepMind’s AlphaGo used some surprising tactics
while playing against Lee Sedol. People thought
these wouldn’t actually work, but they did. Players
will have to re-think their every move while
playing. Situations like these will give them insight
that might not have been possible.
● CSGO has a ‘6th man’ setup where an observer
advises the players on their strategies. A bot can
instead replace the ‘6th man’, a form of
‘Augmented advising’. Teams will have to augment
the bot’s recommendations into their gameplay.
Teams
● The presence of an in-game coach would be
helpful. It would speed up the process of getting
started on the game and decrease the learning
time.

1st - We’re going to build our model to detect pneumonia
2nd - Apply the same concepts to other diseases
3rd - Build Web & Mobile Platform for doctors to use
(Applications in 3rd world are HUGE!)
Conditions we’ll try to build
our model to detect:
Atelectasis
Consolidation
Infiltration
Pneumothorax
Edema
Emphysema
Fibrosis
Effusion
Pneumonia
Pleural_thickening
Cardiomegaly
Nodule Mass
Hernia

● Jobs
● Freelance
● AI Startups
How can you build your career in AI &
Machine Learning?

Jobs
● Artificial Intelligence jobs posted on Linkedin.
5000+

Freelance
● AI & Machine Learning jobs posted only on upwork
today.
200+
● Average per hour rate of an AI freelance engineer:
$40-$100 on upwork

Freelance AI Engineers on Upwork and their per
hour rates

AI Startups
Just as 100 years ago electricity
transformed industry after industry, AI
will now do the same.
-Andrew NG

Winner Takes All
If businesses and
organizations don't adapt, they
may well become extinct.

There is an AI solution to every
business problem
- Finance
(Safer Trading, Fraud Prevention, Personalized Investment Plans)
- Marketing
(Automating Repetitive Tasks, Sales Through Images and Videos, Content
Generation)
- Customer Support
(Handling Multiple Customers at a Time, More Effective Phone Support)
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(Mining Valuable Information From Untapped Data, Effective Treatment Plans,
More Efficient Primary Care)
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Rental Booking, Relevant Product Recommendations, Customer Engagement)
- And More...