Hey everyone, You can find here the slides to the AI | Explore ML : introduction event that we held here. https://www.facebook.com/events/4005514219483981/?active_tab=discussion Do check out the following links to see the testing skipped by Shahed https://www.youtube.com/watch?v=DFBbSTvtpy4&list=LL&index=3 https://www.youtube.com/watch?v=CO67EQ0ZWgA&list=LL&index=2 https://www.youtube.com/watch?v=n-zeeRLBgd0&list=LL&index=1

1. Explore
Mach ne
Learn ng

2. Intro (what s AI?)
Stages of AI.
Types of AI.
AI appl cat ons.
The d fference between
AI, ML and Data Sc ence.

3. Mach ne Learn ng.
Types of ML.
When to use ML?
From where to start?

4. What s AI?
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The f rst approach was by Alan
Tur ng the landmark publ cat on
n 1950.
Jhon McCarty used the term AI at
the Dartmouth conference n
1956, he def nes AI as the sc ence
& eng neer ng of mak ng
ntell gent mach nes.

5. Computer programs that are wr tten
to perform tasks that requ re human
ntell gence.
Broadly, t enables computers and
mach nes to m m c the percept on,
learn ng, problem-solv ng, and
dec s on-mak ng capab l t es of the
human m nd.
What s AI?
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6. WHAT ARE THE
STAGES OF AI?

7. Art f c al Narrow Intell gence (ANI)
Art f c al General Intell gence (AGI)
Art f c al Super Intell gence (ASI)

8. TYPES OF AI
React ve AI.
L m ted Memory AI.
Theory of M nd AI.
Self-Aware AI.
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9. APPLICATIONS OF AI
AI

10. APPLICATIONS OF AI
See & Spray :
Blue R ver Technology has developed a robot
called See & Spray wh ch uses computer v s on
technolog es l ke object detect on to mon tor
and prec sely spray weed c de on cotton plants.
Plant x App:
Berl n-based agr cultural tech start-up called
PEAT, has developed an appl cat on called
Plant x that dent f es potent al defects and
nutr ent def c enc es n the so l through mages.

11. APPLICATIONS OF AI
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Self-dr v ng cars l ke Tesla, Waymo, and
Uber. Art f c al Intell gence mplements
computer v s on, mage detect on, and deep
learn ng to bu ld cars that can automat cally
detect objects and dr ve around w thout
human ntervent on.

12. APPLICATIONS OF AI
Almost every household has a v rtual
ass stant that controls the appl ances at
home. A few examples nclude S r ,
Cortana, Echo, and Google Duplex wh ch
are ga n ng popular ty because of the user
exper ence they prov de.
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13. AI - ML - DL - DATA
SCİENCE
Mach ne Learn ng
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Art f c al Intell gence
Deep Learn ng
Data Sc ence

14. Mach ne learn ng (ML) s a set of stat st cal tools to learn
from data. The nucleus of ML s n teach ng computers how
to learn and make pred ct ons from data w thout necessar ly
be ng programmed.
ML Algor thms perform l near transformat ons on data
to produce output.
ML models produce a numer cal output.
Ma nly, t needs a good feature select on and extract on.
Ex: Spam ma l categor zat on.
WHAT IS MACHINE
LEARNING?

15. TYPES OF ML
Superv sed Learn ng.
Unsuperv sed Learn ng.
Re nforcement Learn ng

16. EXAMPLE
Educat on.
Years of expert se.
Techn cal sk lls.
Mar tal status.

17. EXAMPLE

18. DEEP
LEARNINIG?
The output from DL algor thms can
range from an mage to text or even
aud o.
ts neural network approach to look for
patterns and correlat ons wh ch
mproves s gn f cantly when t s fed
more data to tra n.
Deep learn ng s a subset of mach ne
learn ng n wh ch data goes through
mult ple numbers of non-l near
transformat ons to obta n an output.
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20. DATA SCİENCE?
Data Sc ence s not fully Art f c al ntell gence,
however, port ons of Data sc ence ntersect w th
Art f c al ntell gence.
Ex: How do people get sponsorsh p for a cause.
Who s usually w ll ng to respond to an ema l call ng
for sponsors. What keywords do they look out for n
ema ls request ng for sponsorsh p? would they
prefer a phone call?
It s understand ng and mak ng sense of data. A lot of
tools are used n data sc ence. They nclude stat st cal
tools, probab l st c tools, l near and metr c algebra,
numer cal opt m sat on and programm ng.
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21. GOOGLE
TEACHABLE
MACHINE

22. https://developers.google.com/mach ne-learn ng/crash-course/ ntroduct on-to-neural-
networks/playground-exerc ses
Art f c al Intell gence Full Course | Art f c al Intell gence Tutor al for Beg nners | Edureka
Deep Learn ng Spac al zat on - Coursera
MIT 6.S191: Introduct on to Deep Learn ng
Udemy - Udac ty

23. CONTACT
L nkedIn- Med um: Shahed Alal Alghrs
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