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![(defn talk
[m]
(-> m
(assoc :title "Clojure/conj 2017")
(assoc :speaker "김대원")
(assoc :seminar "제 6회 Lisp 세미나")
(assoc :place "D2 STARTUP FACTORY")
(assoc :date "2017년 11월 11일 토요일")
(assoc :special-thanks-to "Eric Weinstein")))](https://image.slidesharecdn.com/clojure-conj-2017-171113160129/85/Clojure-conj-2017-1-320.jpg)
![About Me
(def darren-kim
{:name "김대원"
:employer "Clunix"
:field-of-study "Natural Language Processing"
:history ["iOS/android App"
"Web service using Clojure(script)"
"NLP researcher"]})](https://image.slidesharecdn.com/clojure-conj-2017-171113160129/85/Clojure-conj-2017-3-320.jpg)
![Clojure/conj
(def clojure-conj
{:name "Clojure/conj"
:similar {:Apple "WWDC"
:Google "Google I/O"
:Python "PyCon"}
:sibling ["Clojure/west"
"EuroClojure"]})](https://image.slidesharecdn.com/clojure-conj-2017-171113160129/85/Clojure-conj-2017-6-320.jpg)
![Data Processing - Data structures
(def data-structures
{:List '(1 1.0 :a a "a")
:Vector [1 2 :three "four" 5]
:Set #{1 1.0 :a a "a"}
:Map {:a 1 :b 2 :c 3}})](https://image.slidesharecdn.com/clojure-conj-2017-171113160129/85/Clojure-conj-2017-26-320.jpg)
![Questions?
(def darren-kim
{:name "김대원"
:employer "Clunix"
:field-of-study "Natural Language Processing"
:history ["iOS/android App"
"Web service using Clojure(script)"
"NLP researcher"]})](https://image.slidesharecdn.com/clojure-conj-2017-171113160129/85/Clojure-conj-2017-55-320.jpg)
![[Question Paper] Linux Administration (60:40 Pattern) [October / 2013]](https://cdn.slidesharecdn.com/ss_thumbnails/linux-60-40-qp-oct-2013-170830154535-thumbnail.jpg?width=640&height=640&fit=bounds)
Clojure/conj 2017
- 1. (defn talk [m] (-> m (assoc:title "Clojure/conj 2017") (assoc :speaker "김대원") (assoc :seminar "제 6회 Lisp 세미나") (assoc :place "D2 STARTUP FACTORY") (assoc :date "2017년 11월 11일 토요일") (assoc :special-thanks-to "Eric Weinstein")))
- 2.
- 3. About Me (def darren-kim {:name"김대원" :employer "Clunix" :field-of-study "Natural Language Processing" :history ["iOS/android App" "Web service using Clojure(script)" "NLP researcher"]})
- 4. Agenda • Before Clojure/conj2017 • During Clojure/conj 2017 • After Clojure/conj 2017 • Questions (if we have time)
- 5.
- 6. Clojure/conj (def clojure-conj {:name "Clojure/conj" :similar{:Apple "WWDC" :Google "Google I/O" :Python "PyCon"} :sibling ["Clojure/west" "EuroClojure"]})
- 7. Anniversaries • The 10thAnniversary of the release of Clojure! • October 12-14 • My 7th Wedding Anniversary! • Original: September 25 - October 12 • Modified: September 25 - October 18
- 8. Tickets • Early BirdRegistration • Regular Registration • Late Registration
- 9.
- 10. Clojure/conj 홈페이지 메인화면에 나오는 볼티모어의 Inner Harbor
- 11. 제가 숙박했던 호텔에서찍은 볼티모어의 모습
- 12. 손을 드신 분들은(괄호)가 문제가 될 것이라고 생각했지만, 지금은 그러한 생각이 틀렸다고 뉘우치는(?) 분들 입니다.
- 13.
- 14. 복도의 모습 -스폰서 업체의 부스 앞에서 대화하고 있는 개발자들
- 15. 메인 스폰서 업체인Room key 직원들에게 감사장을 전하는 리치 히키, 왼편엔 알렉스 밀러
- 17. Deep Learning! • Total27 talks except for Lightning Talks. • 5 Deep Learning talks (18.5 %) • Building Machine Learning Models with Clojure and Cortex - Joyce Xu • The Tensors Must Flow - William Piel • Declarative Deep Learning In Clojure - William Hoyt • Deep Learning Needs Clojure - Carin Meier • Infinite State Machine: Poetry in, with, and by Clojure - Eric Weinstein
- 19. Why Clojure • FunctionalComposition • Neural Nets • ML pipeline • Data Processing • Lazy sequence • Data structures • ML System + Rest of the Programming World • Declarative Deep Learning
- 20. Funtional Composition -Neural Nets
- 21. Funtional Composition -Neural Nets
- 22. Funtional Composition -Neural Nets
- 23. Funtional Composition -ML pipeline
- 24. Funtional Composition -ML pipeline
- 25. Data Processing -Lazy sequence
- 26. Data Processing -Data structures (def data-structures {:List '(1 1.0 :a a "a") :Vector [1 2 :three "four" 5] :Set #{1 1.0 :a a "a"} :Map {:a 1 :b 2 :c 3}})
- 27. ML System +Rest of the Programming World
- 28. ML System +Rest of the Programming World
- 29. ML System +Rest of the Programming World
- 30. ML System +Rest of the Programming World
- 31.
- 32.
- 33.
- 34.
- 35.
- 36.
- 37. Potential • Debugging • GeneticProgramming (clojure.spec) • Graal VM & Truffle
- 38.
- 39.
- 40.
- 41.
- 42.
- 43.
- 44.
- 45. Graal VM &Truffle
- 46. Graal VM &Truffle
- 47. How can youget Involved? • Practical Deep Learning for Coders • http://course.fast.ai/ • 모두를 위한 머신러닝/딥러닝 강의 • https://hunkim.github.io/ml/
- 48. How can youget Involved?
- 50.
- 51. What did Iget from Clojure/conj?
- 52.
- 53. Autograph • 클로저 시작하기 -캐린 마이어 • 클로저 프로그래밍의 즐거움 - 마이클 포거스, 크리스 하우저 • 프로그래밍 클로저 - 스튜어트 할로웨이
- 54. And … • Friendlyand warm community • Clojure is a very attractive language. • Clojure! Clojure! Clojure!
- 55. Questions? (def darren-kim {:name "김대원" :employer"Clunix" :field-of-study "Natural Language Processing" :history ["iOS/android App" "Web service using Clojure(script)" "NLP researcher"]})
- 56.