ίϯϖͰެ։͞Ε͍ͯ ΔσʔλΛ࢖ͬͯػց ֶशࣄ࢝Ί Pythonػցֶशษڧձ in ৽ׁ Restart 2018/08/18 @kasacchiful

ࣗݾ঺հ • ּݪ ޺ (@kasacchiful) • ৽ׁࢢࡏॅ • Ruby͕͓ؾʹೖΓ • JaSST৽ׁ࣮ߦҕһ

ຊ೔ͷ಺༰ 1. “ίϯϖ”ͬͯԿʁ 2. ίϯϖͰԿ͕਎ʹͭ͘ͷʁ 3. KaggleͱSIGNATEͷ࿅श໰୊ʹఏग़ͯ͠ΈΑ͏ 4. ʢ͕࣌ؒ͋Ε͹ʣखॻ͖จࣈը૾ͷೝࣝ໰୊ʹఏग़͠ ͯΈΑ͏ 5. ·ͱΊ

1. ίϯϖͬͯԿʁ

ίϯϖͬͯԿʁ • σʔλ෼ੳʹ͓͚Δίϯϖͱ͸ɺࢀՃऀಉ࢜ ͕ެ։͞Ε͍ͯΔσʔλΛ࢖ͬͯ՝୊Λղ͖ɺ ͦͷ༏ྼΛڝ͏৔ɻ ίϯϖςΟγϣϯ $PNQFUJUJPO ͱ͸ɺڝ૪ɺڝٕɺڝٕձͷҙɻ ڝ͍߹Θͤɺ༏ྼΛ͚ͭΔ͜ͱɻུͯ͠ίϯϖͱ΋͍͏ɻ Ҿ༻: ίϯϖςΟγϣϯ - Wikipedia https://ja.wikipedia.org/wiki/ίϯϖςΟγϣϯ

ίϯϖͷ࢓૊Έ اۀ ίϯϖ ओ࠵ ࢀՃऀ ᶃ ᶃ: ՝୊ɾσʔλɾ৆ۚΛఏڙ

ίϯϖͷ࢓૊Έ اۀ ίϯϖ ओ࠵ ࢀՃऀ ᶄ: σʔλΛѻ͍΍͍͢Α͏ʹલॲཧ͠ɺ ධՁํ๏Λܾఆͯ͠ίϯϖΛެ։ ᶄ

ίϯϖͷ࢓૊Έ اۀ ίϯϖ ओ࠵ ࢀՃऀ ᶅ: ఏڙ͞ΕͨσʔλΛ࢖ͬͯɺ ࣗΒͷ஌ݟ΍ख๏Λۦ࢖ͯ͠՝୊Λղ͘ ᶅ ※ίϯϖ։࠵ظؒத͸Կճ΋ఏग़Ͱ͖Δʢ※1೔5ճ·Ͱ౳੍ݶ͸͋Δ͚Ͳʣ

ίϯϖͷ࢓૊Έ اۀ ίϯϖ ओ࠵ ࢀՃऀ ᶆ: ίϯϖظؒऴྃޙɺ ্Ґೖ৆ऀʹ৆͕ۚत༩͞ΕΔ ※kaggleͰ͸ɺ্Ґೖ৆ऀʹϝμϧ͕त༩͞ΕɺϝμϧʹԠͯ͡kaggleϥϯΫ্͕͕Δ ᶆ

ίϯϖͷ࢓૊Έ اۀ ίϯϖ ओ࠵ ࢀՃऀ ᶇ: ্Ґͷղ๏ʹ͍ͭͯ͸ɺ ࣮ࡍͷاۀ՝୊ʹରͯ͠ద༻͞Ε ۀ຿վળʹ࢖ΘΕΔ ᶇ

୅දతͳίϯϖ • Kaggle • SIGNATE

IUUQTXXXLBHHMFDPN

Kaggleͱ͸ • ੈքதͷσʔλαΠΤϯςΟετ͕ू·Γɺ͠ͷ͗Λ࡟ΔϓϥοτϑΥʔϜ • ୅දతͳίϯϖͷ՝୊ • ϩʔϯͷσϑΥϧτϦεΫ൑ఆ • Ϣʔβͷෆਖ਼ΞΫηεݕ஌ • ը૾಺ͷΦϒδΣΫτݕग़ • Φεεϝग़඼Ձ֨ͷఏࣔ • etc. • KaggleʹࢀՃ͍ͯ͠Δਓͷ͜ͱΛʮKagglerʯͱݺΜͩΓ͢Δ

KaggleΛͷ͍ͧͯΈΑ͏ • Competition • ίϯϖͷҰཡ • Datasets • Kaggle͕ެ։͍ͯ͠ΔσʔληοτͷҰཡ • Kernels • kaggler͕֤໰୊ͷղ͖ํΛNotebookܗࣜͰ͍ࣔͯ͠Δ • ·ͣ͸໰୊ͷղ͖ํΛࣸܦͯ͠ɺྲྀΕΛݟΔͷ͕Φεεϝ • Discussion • kagglerಉ͕࢜ٞ࿦͠߹͏ܝࣔ൘ • ࠷৽ΞϧΰϦζϜ౳ͷτϐοΫε͕ग़͖ͯͨΓ͢Δ • learn • Python/R΍ɺPandasɺػցֶशɺσΟʔϓϥʔχϯάɺՄࢹԽͳͲͷجຊΛNotebookܗࣜͰެ։

IUUQTJHOBUFKQ

SIGNATEͱ͸ • גࣜձࣾSIGNATE͕ӡӦ͢Δɺ೔ຊͷίϯϖςΟγϣϯ • 2018೥4݄ΑΓɺDeepAnalytics͔ΒSIGNATEʹαʔϏε໊มߋ • ਓ޻஌ೳֶձ͕ओ࠵͢ΔίϯϖͷϓϥοτϑΥʔϜ౳ʹ࢖ΘΕͨ Γ͢Δ • ࠓ೥͸ɺΫοΫύουఏڙͷը૾͔Β৯ࡐ55඼໨ͷ෼ྨΛ͢ Δίϯϖ͕։࠵͞Εͨ • ࿅श໰୊͕ଟ͍ͷͰɺػցֶशͷษڧͱͯ͠΋࢖͍΍͍͢

SIGNATEΛͷ͍ͧͯΈΑ͏ • Competitions • ίϯϖͷҰཡ • Learning • ࿅श໰୊ͷίϯϖςΟγϣϯ΍Udemyͷಈըߨ࠲ͷ঺հ • Carrer • SIGNATEʹΑΔస৬αϙʔτ

2. ίϯϖͰԿ͕਎ʹͭ͘ͷʁ

σʔλαΠΤϯςΟετʹͳΔ ͨΊʹඞཁͳ8ͭͷεΩϧ 1. Programming Skills (Python / R / SQL) 2. Statistics (౷ܭͷ஌ࣝʣ 3. Machine Learning (ػցֶशͷཧ࿦) 4. Multivariable Calculus & Linear Algebra (ଟม਺ඍ෼ੵ෼ͱઢܗ୅਺) 5. Data Wrangling (σʔλͷૢ࡞(Pandas / dplyr)) 6. Data Visualization & Communication (σʔλͷՄࢹԽ) 7. Software Engineering (σʔλΛूΊͨΓσʔλۦಈܕ੡඼։ൃ͢ΔͨΊͷΤϯδχΞϦϯάྗ) 8. Data Intuition (σʔλʹର͢Δʮ௚ײྗʯ) Ҿ༻: 8 Skills You Need to Be a Data Scientist | Udacity https://blog.udacity.com/2014/11/data-science-job-skills.html

ίϯϖͰ਎ʹͭ͘ͱࢥ͏εΩϧ 1. Programming Skills (Python / R / SQL) 2. Statistics (౷ܭͷ஌ࣝʣ 3. Machine Learning (ػցֶशͷཧ࿦) 4. Multivariable Calculus & Linear Algebra (ଟม਺ඍ෼ੵ෼ͱઢܗ୅਺) 5. Data Wrangling (σʔλͷૢ࡞(Pandas / dplyr)) 6. Data Visualization & Communication (σʔλͷՄࢹԽ) 7. Software Engineering (σʔλΛूΊͨΓσʔλۦಈܕ੡඼։ൃ͢ΔͨΊͷΤϯδχΞϦϯάྗ) 8. Data Intuition (σʔλʹର͢Δʮ௚ײྗʯ) ˕ ̋: ࠷ॳ͸͍Βͳ͍͚Ͳɺ্Ґૂ͏ͳΒඞཁ ̋: ࠷ॳ͸͍Βͳ͍͚Ͳɺ্Ґૂ͏ͳΒඞཁ ̋: ࠷ॳ͸͍Βͳ͍͚Ͳɺ্Ґૂ͏ͳΒඞཁ ˕ ˚: ίϯϖ͚ͩͰ͸਎ʹ͔ͭͳ͍͔΋ ˚: ίϯϖ͚ͩͰ͸਎ʹ͔ͭͳ͍͔΋ ˕

ෳࡶͳཧ࿦͕Θ͔Βͳͯ͘΋ ࢝ΊΔ͜ͱ͕Ͱ͖·͢

࢝ΊͯΈͳ͚Ε͹ Α͘Θ͔Βͳ͍··

3. kaggleͱSIGNATEͷ࿅श ໰୊ʹఏग़ͯ͠ΈΑ͏

࿅श໰୊ʹఏग़ • ͲͪΒͷίϯϖʹ΋͋Δ࿅श໰୊ʮTitanicʯΛ΍ͬͯΈ·͢ • Kaggle: “Titanic: Machine Learning from Disaster” • https://www.kaggle.com/c/titanic • SIGNATE: “ʲ࿅श໰୊ʳλΠλχοΫͷੜଘ༧ଌ” • https://signate.jp/competitions/102 λΠλχοΫ߸௜຅ࣄނ λΠλχοΫ͝͏ͪΜ΅ͭ͜͡ ͸ɺ೥݄೔ͷ໷͔Β೔ͷேʹ͔͚ͯɺ ΠΪϦεɾα΢αϯϓτϯ͔ΒΞϝϦΧ߹ऺࠃɾχϡʔϤʔΫߦ͖ͷॲঁߤւதͷ೔໨ʹ๺େ੢༸Ͱى͖ͨɻ ౰࣌࠷େͷ٬ધͰ͋ͬͨλΠλχοΫ߸͸ɺ೥݄೔ͷ࣌෼ ࣄނݱ৔࣌ؒ ʹණࢁʹিಥͨ࣌͠ ʹ͸ ਓΛ৐͍ͤͯͨɻࣄނ͕ى͖͔ͯΒ࣌ؒ෼ޙͷཌ݄೔ͷ࣌෼ʹ௜຅͠ɺ ਓҎ্͕ ๢͘ͳͬͨɻ͜Ε͸೥౰࣌ɺւ೉ࣄނͷ࠷େࢮऀ਺Ͱ͋ͬͨɻ Ҿ༻: λΠλχοΫ߸௜຅ࣄނ - Wikipedia https://ja.wikipedia.org/wiki/λΠλχοΫ߸௜຅ࣄނ

4. ʢ͕࣌ؒ͋Ε͹ʣ खॻ͖จࣈը૾ೝࣝʹఏग़͠ ͯΈΑ͏

5. ·ͱΊ

·ͱΊ • ػցֶशʹڵຯ͋Δ͚Ͳɺσʔλ࣋ͬͯͳ͍ 㱺 kaggle΍SIGNATEʹ͋ΔσʔλΛ࢖ͬͯ࿅शʂ • ػցֶशʹڵຯ͋Δ͚ͲɺͲ͏΍ͬͯεΩϧ্͛Ε͹͍͍ͷʁ 㱺 KaggleͷKernels͸ͱͯ΋ࢀߟʹͳΔʂͦͷதͰΘ͔Βͳ͍୯ޠ΍ख๏͸ผ్ௐ ΂ͯΈΑ͏ʂ • Kaggle͸ӳޠͰ͠ΐ… 㱺 จ໌ͷརث (Google຋༁) ͕͋ΔͷͰɺͳΜͱ͔ͳΔɻ·ͨɺӳޠͷઐ໳༻ޠ͸ CourseraͷʮMachine LearningʯίʔεΛऔΓ૊ΜͰ͍͘ͱɺࣗવͱΘ͔ͬͯ͘Δ

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