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AI | Explore Machine Learning

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EqraKhattak
EqraKhattak

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

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Explore Mach ne Learn ng
Intro (what s AI?) Stages of AI. Types of AI. AI appl cat ons. The d fference between AI, ML and Data Sc ence.
Mach ne Learn ng. Types of ML. When to use ML? From where to start?
What s AI? 03 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.
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? 03
WHAT ARE THE STAGES OF AI?
Art f c al Narrow Intell gence (ANI) Art f c al General Intell gence (AGI) Art f c al Super Intell gence (ASI)
TYPES OF AI React ve AI. L m ted Memory AI. Theory of M nd AI. Self-Aware AI. 06
APPLICATIONS OF AI AI
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.
APPLICATIONS OF AI 07 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.
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. 07
AI - ML - DL - DATA SCİENCE Mach ne Learn ng 08 Art f c al Intell gence Deep Learn ng Data Sc ence
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?
TYPES OF ML Superv sed Learn ng. Unsuperv sed Learn ng. Re nforcement Learn ng
EXAMPLE Educat on. Years of expert se. Techn cal sk lls. Mar tal status.
EXAMPLE
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. 11
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. 11
GOOGLE TEACHABLE MACHINE
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
CONTACT L nkedIn- Med um: Shahed Alal Alghrs 14

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AI | Explore Machine Learning

  • 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? 03 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? 03
  • 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. 06
  • 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 07 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. 07
  • 13. AI - ML - DL - DATA SCİENCE Mach ne Learn ng 08 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.
  • 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. 11
  • 19.
  • 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. 11
  • 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 14