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機械学習エンジニアが目指すキャリアパスとその実話 / My Journey to Become a ML Engineer

機械学習エンジニアが目指すキャリアパスとその実話 / My Journey to Become a ML Engineer

機械学習エンジニアをやってた時の実話とキャリアパスについての考察

Shinichi Nakagawa

January 19, 2023
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  1. ػցֶशΤϯδχΞ͕໨ࢦ͢


    ΩϟϦΞύεͱͦͷ࣮࿩
    ※͜ͷ࿩͸ϊϯϑΟΫγϣϯͰ͢
    Shinichi Nakagawa@shinyorke 2023/01/19 Start Python Club #89

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  2. ͜ͷεϥΠυͷର৅ಡऀ
    • σʔλαΠΤϯςΟετɾػցֶशΤϯδχΞͱͯ͠࢓ࣄΛ͍ͨ͠ํ


    • طʹσʔλ෼ੳɾAIతͳϓϩμΫτɾϓϩδΣΫτʹैࣄ͍ͯ͠Δ,


    • ϝϯόʔͷํʢΤϯδχΞɾσʔλαΠΤϯςΟετ໰Θͣʣ


    • ϚωδϝϯτͷํʢϓϩμΫτɾϓϩδΣΫτͷͲͪΒ͔ʣ


    • AIͱ͔σʔλͱ͔Λѻ͏૊৫ͷϚωδϝϯτɾڭҭ୲౰ͷํ


    Pythonͷ࿩͸ग़·ͤΜ, R&Dɾݚڀ৬ͷํʹ͸Ϛον͠ͳ͍͔΋🙏

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  3. Who am ɹ?


    ʢ͓લ୭Α?ʣ
    • Shinichi Nakagawa@shinyorke


    • େख֎ࢿITίϯαϧاۀϚωʔδϟʔ

    ʢݩɾࣄۀձࣾͷϑϧαΠΫϧΤϯδχΞʣ


    • ຊ৬͸Ϋϥ΢υΠϯϑϥ΍ΒԿ΍Βͷίϯαϧ

    ݱ৬ͷ໾ׂ͸SREɾΠϯϑϥํ໘ϝΠϯ


    • ػցֶशΤϯδχΞͱͯ͠ͷΩϟϦΞ


    • AIʹΑΔίϩφϫΫνϯ઀छ༧ଌʢ2021ʣ


    • શࣾσʔλج൫ߏஙɾར׆༻ଅਐʢ2020ʣ


    • ໺ٿσʔλαΠΤϯεʢ2012-ݱࡏʣ


    • ηΠόʔϝτϦΫε⽁͕ಘҙ෼໺

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  4. ʮਪ͠͸ਪͤΔ࣌ʹਪͤʯͱ͍͏ԶͷDXΛ࣮ݱ͢ΔͨΊͷαʔόϨεͳσʔλج൫։ൃͱӡ༻


    https://event.shoeisha.jp/devsumi/20230209/session/4196/
    σϒαϛͰσʔλج൫ͱ⽁ͷ࿩Λ͠·͢དྷͯͶ

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  5. ຊ೔ͷ͓࿩ʢཁ໿ʣ
    • ػցֶशΤϯδχΞʹඞཁͳ΋ͷ͸ҎԼ3ͭ.

    ʢશ෦཈͑ͳ͍͍͔ͯ͘ΒҰͭಘҙʹͳΖ͏ʣ


    • ΞϓϦΛ࡞Δɾಈ͔͢εΩϧ


    • ΠϯϑϥΛߏஙɾӡ༻͢ΔεΩϧ


    • ϏδωεεΩϧʢ͜Ε͕͘͢͝େࣄʣ


    • ੜͷσʔλʹ৮ΕΔɾυοΫϑʔσΟϯά͢Δश׳େࣄ.


    • ΑΓ্ͷΩϟϦΞΛ໨ࢦ͢ਓ͸, ίϛϡχέʔγϣϯͱ

    νʔϜϚωδϝϯτΛେ੾ʹ.

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  6. ຊ೔ͷ͓͠ͳ͕͖
    • ࢲͷػցֶशΤϯδχΞวྺ


    • ػցֶशΤϯδχΞɾσʔλαΠΤϯςΟετʹඞཁͳεΩϧͱ͸?


    • ػցֶशΤϯδχΞɾσʔλαΠΤϯςΟετΛ໨ࢦ͢ํ΁


    શ෦ಡΉͷ͕໘౗ͳํ͸ͤΊͯࠇഎܠͷεϥΠυ͚ͩͰ΋ಡΜͰ.

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  7. ࢲͷػցֶशΤϯδχΞวྺ

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  8. ࢲ͕΍͖ͬͯͨ͜ͱʢ࣌ܥྻʣ


    30୅લ൒ʢ12೥લʣ͔ΒҰࡢ೥ʢ41ࡀʣ͘Β͍·ͰͷৼΓฦΓ

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  9. ۦ͚ग़࣌͠୅ʢ30୅લ൒ʣ
    • ౰͍࣌ͨձࣾͷ࢓ࣄͰR&DͷϓϩδΣΫτʹΞαΠϯ

    GISʢ஍ཧ৘ใγεςϜʣͷϓϩτλΠϓ࡞ΓͰσϏϡʔ


    • ݚڀऀ͕࡞ͬͨΞϧΰϦζϜɾίʔυΛRuby΍PythonͷΞϓϦʹ

    ૊ΈࠐΉͱ͍ͬͨࣄΛ͍ͯͨ͠ʢͪͳΈʹ͜Ε͕PythonσϏϡʔʣ


    • FlaskͰWebΞϓϦ࡞ͬͨΓ, σʔλͷΫϨϯδϯάΛؤுͬͨΓ,

    PyQtʢWindowsΞϓϦʣͰσϞΛ࡞ͬͨΓͱ͔ͳΜͰ΋΍ͬͨ.

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  10. ۦ͚ग़࣌͠୅ʹಘͨεΩϧͱ஌ݟ
    • ੜσʔλͱ, σʔλΛੜΈग़͢΋ͷʢαʔϏεɾΞϓϦͳͲʣΛཧղ͢Δ.

    ࢓༷ॻΛಡΉ͚ͩͰͳ͘ੜσʔλΛݟΔ, υοάϑʔσΟϯά͸ઈର΍Δ.

    ※υοάϑʔσΟϯά=࢓ࣄͷର৅ʹͳΔαʔϏεΛࣗ෼Ͱ࢖͏͜ͱ.


    • είʔϓʢ΋͘͠͸ΰʔϧʣΛΩϝͯ࡞Γ੾Δ͜ͱϝονϟେࣄ.

    Done is better than perfectͬͯ΍ͭʢ࡞ͬͨ΋ͷ͸ͬ͞͞ͱੈʹग़ͤʣ.


    • ΞϧΰϦζϜ΍਺ࣜɾίʔυͷྑ͞Λڝ͏ɾٞ࿦͢Δͷ΋େࣄ͕ͩ,

    ʮ࢓༷ɾσʔλಛੑʹԊͬͨલॲཧʯ͕େࣄʢσʔλͷཧղॏཁʣ.

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  11. ϓϩδΣΫτϝϯόʔͱͯ͠ʢ30୅ޙ൒ʣ
    • ελʔτΞοϓͰෳ਺ͷػցֶशɾAIϓϩδΣΫτͷϝϯόʔ.


    • ଞͷػցֶशΤϯδχΞɾσʔλαΠΤϯςΟετ͕࡞ͬͨϞσϧΛ

    ࢲ͕γεςϜʹ૊ΈࠐΈ, ϓϩμΫτͱͯ͠׬੒ɾϦϦʔε͢Δ࢓ࣄ.


    • ݶΒΕͨϦιʔεɾظؒͰཁٻ͞ΕΔ඼࣭Λ࣋ͬͯग़͢ͱ͍͏εϦϧ

    νʔϜͱͯ͠ίϛϡχέʔγϣϯऔΓͳ͕Βண஍ͤ͞Δۤ࿑ͷ࿈ଓ.

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  12. ϓϩδΣΫτϝϯόʔͱͯ͠ಘͨεΩϧͱ஌ݟ
    • ϓϩμΫτΦʔφʔɾσʔλαΠΤϯςΟετɾΤϯδχΞɾσβΠφʔ

    ͱ͍ͬͨεςʔΫϗϧμʔ͸ΈΜͳҧ͏͜ͱݴ͏ͷͰҙݟௐ੔(ry


    • ΤϯδχΞଆ໘Ͱݴ͏ͱ, σʔλαΠΤϯςΟετ͕࡞ͬͨϞσϧɾίʔυΛ

    ϓϩμΫτʹऔΓࠐΉ͔ͭӡ༻ʢML Opsʣ·Ͱ͍࣋ͬͯۤ͘࿑͕͋Δ.


    • ʮσʔλαΠΤϯςΟετͱΤϯδχΞ͸ҧ͏ੜଶܥͷੜ͖෺ʯͱ֮͑Δ.

    ྆ऀͷίϛϡχέʔγϣϯ্͕ख͍͘͘ͱ੒ޭ, μϝͩͱ(ry

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  13. ϚωδϝϯτΛ΍Βͤͯ΋Βͬͨʢ40୅ʣ
    • લ৬ͷελʔτΞοϓͰҎԼϓϩδΣΫτͷ੹೚ऀ݉ϝϯόʔ.


    • શࣾతͳσʔλج൫ߏஙͱσʔλར׆༻ͷਪਐ


    • ίϯγϡʔϚ޲͚ίϯςϯπʮAIϫΫνϯ઀छ༧ଌʯͷاը։ൃ


    • Ͳͬͪ΋গ਺ਫ਼ӶνʔϜͩͬͨͷͰϚωδϝϯτɾظ଴஋ௐ੔͠ͳ͕Β,

    ϝϯόʔͱͯ͠खΛಈ͔ͨ͠&ֶੜϝϯόʔ΋͍ͨͷͰڭҭ΋.


    • ͲͪΒ΋ྑ͍੒Ռ͕ग़ͯ, গͳ͘ͱ΋౰ॳ໨ඪ͸ୡ੒ͨ͠🎉

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  14. ϚωδϝϯτΛ΍ͬͯಘͨܦݧͱֶͼ
    • ʮࣦഊͯ͠΋Զ͕੹೚࣋ͭΘ͍ʂʯ͙Β͍Ͱ΍Δͷ͕ஸ౓͍͍💪

    اըɾཁ݅ɾઃܭ͔ΒσϦόϦʔ·Ͱશ෦͜ͷ͓ؾ࣋ͪͰ΍Γ͖Γ.


    • ʮσʔλαΠΤϯεؤுΔਓʯʮΤϯδχΞϦϯάؤுΔਓʯ

    Έ͍ͨͳ໾ׂ෼୲&མͪͦ͏ͳϘʔϧΛશ෦ࣗ෼͕रͬͯ੒ޭ🎉


    • νʔϜϝϯόʔͷϞνϕʔτʹࡉ৺ͷ஫ҙΛ෷͍ͭͭؤுͬͯ΋Β͍,

    ໘౗͍͘͞෦෼͸ࣗ෼͕έπΛ࣋ͭ, ࣗ෼ͳ͕Βͷউͪύλʔϯര஀.

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  15. ࠷ऴతʹग़ͨ੒Ռͷ·ͱΊ
    • ۦ͚ग़࣌͠୅


    • ͍͔ͭ͘ͷϓϩτλΠϓͱίϯηϓτϞσϧʢPoCతͳϓϩμΫτ͕ͨ͘͞Μʣ


    • Ұ෦͸ͪΐͬͱͨ͠ਓؾΞϓϦͷΠνػೳʹঢ֨ʢ஍ಓͳ࢓ࣄ&υοάϑʔσΟϯάͷ੒Ռʣ


    • ϓϩδΣΫτϝϯόʔ࣌୅


    • ϏδωεϚονϯάαʔϏεͷొ࿥ऀϓϩϑΟʔϧʹܦݧΛλά෇͚͢ΔԿ͔Λ։ൃ


    • ͦͷଞ, ͍͔ͭ͘ͷPoCʢ͢΂ͯ౼ͪࢮʹʣ


    • Ϛωδϝϯτ࣌୅


    • AIϫΫνϯ઀छ༧ଌʢϓϩμΫτϚωδϝϯτ݉ΤϯδχΞʣ


    • σʔλར׆༻ਪਐɾσʔλج൫ߏஙɾӡ༻ʢ্ʹಉ͡ʣ


    ۤͯ͘ਏ͍ࢥ͍ग़ͷํ͕ଟ͍Ͱ͕͢, ੒ޭ΋͋Γຬ଍͍ͯ͠·͢&ͪͳΈʹࠓ͸ػցֶशͷ࢓ࣄͯ͠·ͤΜʢҧ͏ϛογϣϯ͍ͯ͠Δʣ.

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  16. ػցֶशΤϯδχΞͱσʔλαΠΤϯςΟετʹඞཁͳεΩϧͱ͸?


    ※͋͘·ͰݸਓతͳݟղͰ͢ʢҟ࿦͸ೝΊΔʣ

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  17. ࢲͷܦݧ͔Βݴ͑Δ


    ΞΧϯߟ͑ํ͔Β঺հ͠·͢

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  18. ্ख͘ߦ͔ͳ͍ΩϟϦΞɾελϯεʢߟ͑ํʣ
    • Python֮͑ͯPyTorchͱ͔Jupyter࢖͑Ε͹͍͍ΜͰ͠ΐ?


    • ਺ֶΛͻͨ͢Βؤுͬͯษڧͨ͠Β͍͍ΑͶ?


    • ʮʢ࢖͑Δσʔλ͕͋Ε͹ʣͰ͖·͢ʯͱ͔ݴͬͪΌ͏



    ࢲ͕աڈʹग़ձͬͨػցֶशΤϯδχΞʢؚΉީิऀʣͰ

    ͜͏͍͏ΩϟϦΞɾελϯεͰ੒ޭͨ͠ਓΛ஌Βͳ͍.

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  19. Pythonͱ͔਺ֶ֮͑Ε͹͍͍ΜͰ͠ΐ?
    • ࠷௿ݶͷεΩϧɾཧղྗΛ໨ࢦ͢ҙຯͰؒҧͬͯ͸͍ͳ͍Ͱ͕͢,

    Pythonͱ਺ֶͱ͍͏ʮखஈʯ͚ͩͰ͸NG


    • ੜσʔλΛ୳ࡧతʹղੳɾ෼ੳ͢Δश׳ɾӦΈ͕௒ॏཁ.

    ʮखஈʯ͸͜ΕΒͷաఔͰຏ͍͍ͯ͘Ͱ΋શવOK.


    • PythonΊͬͪΌ࢖͑Δ, ਺ࣜେ޷͖ɾޠΕΔʂʂʂํΑΓ,

    SQL΍Excel࢖ͬͯ஍ಓʹίπίπ୳ࡧͰ͖Δํͷํ͕ΑΓ੒௕͢Δ.

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  20. ʢ͔ͭ͑Δσʔλ͕͋Ε͹ʣͰ͖·͢
    • ਓɾձ͔ࣾΒ΋Β͏σʔλʹґଘ͢Δʮड͚਎ʯͰ͸࢓ࣄ͸ແཧ.


    • σʔλ͓ΑͼϏδωεཁ݅Λݩʹʮൃ஫ऀʹఏҊͯ͠ਐΊΔʯॴ·Ͱ

    ΍Δඞཁ͕͋Δ, Ͱͳ͍ͱʮ੒ՌΛೲΊΔʯࣄ͕Ͱ͖ͳ͍.


    • ʮ͔ͭ͑Δσʔλʯ͸໯͏΋ͷͰ͸ͳͯ͘, ࣗΒ୳͠ݟ͚ͭΔͷ͕ઌ.

    ͦͷͨΊͷυοάϑʔσΟϯάͩͬͨΓੜσʔλͷ୳ࡧͩͬͨΓ.

    ʢυοάϑʔσΟϯάɾ୳ࡧͷ݁Ռ͔ΒσʔλͲ͏͠Α͏૬ஊʣ

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  21. ඞཁεΩϧΛମܥཱͯΔͱ


    ͜Μͳײ͡.

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  22. ػցֶशΤϯδχΞͷ


    εΩϧϚοϓ
    • ΞϓϦɾΠϯϑϥɾϏδωεͰ෼͚ͯߟ͑Δͱྑ͍


    • ΞϓϦΛ࡞Δɾಈ͔͢εΩϧ


    • ΠϯϑϥΛߏஙɾӡ༻͢ΔεΩϧ


    • ཁ݅ΛاըɾݴޠԽ͠ਐΊΔϏδωεεΩϧ


    • νʔϜͱͯ͠3ཁૉΛ͢΂ͯΧόʔ͢Δ͙Β͍͕

    ஸ౓Α͍ͱࢥ͍·͢ʢҰਓͰ΍Δͷ͸ແཧͳͷͰʣ


    • ਺ֶͱϓϩάϥϛϯάΛֶशͨ͠Β͍͍ײ͡ʂ

    …Ͱ͸ແ͍͜ͱΛ֮͑ͯ΋Β͑Ε͹.

    ʢ͜Ε͸ڭҭ΋࠾༻΋ಉ͡ʣ

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  23. ΞϓϦέʔγϣϯͷεΩϧ
    • σʔλͱΞϧΰϦζϜͷ஌ࣝɾཧղʢ౷ܭ, ਺ֶ, etc…ʣ


    • ΞϧΰϦζϜͷ࣮૷ʢσʔλऩूɾલॲཧɾΞϧΰϦζϜશൠʣ


    • ϓϩμΫτͱͯ͠ΤϯδχΞϦϯά͢Δ࣮૷ྗ

    ※APIԽ͢Δ, ύοέʔδϯά, ETLΛߏங͢Δetc…


    • γεςϜΛͲ͏࡞Δ͔?ӡ༻͢Δ͔??ͷ஌ࣝͱܦݧʢML OpsͳͲʣ


    ʮ୭͔͕ఆٛɾઃܭʯͨ͠΋ͷཧղɾ࣮૷Ͱ͖Δ, ͕໨ࢦ͢ಓ

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  24. ΠϯϑϥͷεΩϧ
    • σʔλϞσϧͷఆٛɾઃܭ


    • Πϯϑϥʹؔ͢Δ஌ࣝɾܦݧʢαʔόʔΛཱͯΔ, DBνϡʔχϯάetc…ʣ


    • Ϋϥ΢υ͓ΑͼΦϯϓϨϛε؀ڥͷཧղ.AIɾσʔλج൫ͷΈͳΒͣ,

    ର֎γεςϜͱͷ࿈ܞͳͲ࣮͸ൣғ͕ඇৗʹ޿͍.


    • Ϟσϧͷఆظߋ৽ɾσϓϩΠ౳, γεςϜͷӡ༻εΩϧʢSREతͳ΋ͷʣ


    ʮ࡞ͬͨϞσϧΛϓϩμΫτʹ૊ΈࠐΜͰ҆ఆӡ༻ʯͰ͖ΔΤϯδχΞ

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  25. ϏδωεͷεΩϧ
    • ʮAIͰ͍͍ײ͡ʹͯ͘͠Εʯͱ͍͏ࡶΦʔμʔ͔Βاըɾཁ݅ʹ

    མͱ͠ࠐΉͨΊͷपล஌ࣝʢυϝΠϯ஌ࣝʣɾεΩϧ


    • PoC͔Β࣮ӡ༻ʹࢸΔ·Ͱͷϓϩηεɾܭըͷઃܭ


    • ϓϩδΣΫτΛਪਐ͢ΔͨΊͷϚωδϝϯτྗ

    ಛʹϓϩδΣΫτϚωδϝϯτʢϓϩμΫτϚωδϝϯτ΋େࣄʣ


    • ൃ஫ऀɾΤϯδχΞͷ૒ํͷ࿩Λฉ͍͍͍ͯײ͡ʹ͢Δ


    AIɾσʔλͷઐ໳஌ࣝͱର৅෺ͷυϝΠϯ஌ࣝͰ͍͍ײ͡ʹ͢ΔͳΜͰ΋԰

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  26. ৬छͰ෼͚Δͱ͜͏͍͏ײ͡ʢݸਓͷݟղʣ
    εΩϧ ओͳ৬छ උߟ
    ΞϓϦέʔγϣϯ
    ɾαʔόʔαΠυΤϯδχΞ
    ɾϑϩϯτΤϯυΤϯδχΞ
    ɾΞϓϦΤϯδχΞ
    ΤοδίϯϐϡʔςΟϯάͷ୆಄ʹΑΓ
    ΞϓϦ΍ϑϩϯτ΋ػցֶशΛѻ͏࣌୅
    Πϯϑϥ
    ɾαʔόʔαΠυΤϯδχΞ
    ɾΠϯϑϥΤϯδχΞ
    ɾσʔλϕʔεΤϯδχΞ
    ձࣾɾνʔϜʹΑͬͯɺʮΞϓϦέʔγ
    ϣϯΛ࡞ΔΤϯδχΞ͕Πϯϑϥ΋ݟ
    Δʯ͍ΘΏΔʮ%FW0QTʯ͕ཧ༝ͰΞϓ
    Ϧέʔγϣϯͱ݉೚͋ΓಘΔ
    Ϗδωε
    ɾσʔλαΠΤϯςΟετ
    ɾϓϩμΫτϚωʔδϟʔ
    ɾ*5ίϯαϧλϯτ
    ࢓༷ΛܾΊͨΓϚωδϝϯτΛͨ͠Γ͢
    ΔϨΠϠʔ͕֘౰ɺ͜ͷਓୡ͕ίʔυΛ
    ૊·ͳ͍͠ ԿͩͬͨΒத਎஌Βͳ SZ

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  27. ඞཁͳεΩϧଟ͗͢·ͤΜ͔?
    • 3ͭͷεΩϧͷͲΕ͔Ͱࣗ෼ͷྖҬɾ෼໺ΛܾΊ,

    ଞͷྖҬͷਓͱର౳ʹίϛϡχέʔγϣϯͰ͖Δ͙Β͍͕ཧ૝.


    • શ෦Ͱ͖ΔΑ͏ʹͳΔඞཁ͸͋Γ·ͤΜ, ͱ͍͏͔ແཧͰ͢.

    গͳ͘ͱ΋ϓϩδΣΫτ಺Ͱ3ͭ݉຿͸ແཧͰ͢ʢग़དྷͯ2ͭʣ.


    • ࣗ෼ͷ໾ׂɾಘҙෆಘҙΛཧղ͠, ଍Γͳ͍෦෼Λଞͷํʑͱ

    ڠۀ͢Δ͙Β͍ͷ஌ࣝͱεΩϧ, େਓͷ༨༟Λ࣋ͭͷ͕ϕετ.

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  28. ͜Ε͔ΒػցֶशΤϯδχΞͱσʔλαΠΤϯςΟετΛ໨ࢦ͢ํ΁


    …ʹՃ͑ͯ, ϚωδϝϯτΛ͢Δਓ΋ฉ͍ͯཉ͍͠ʢ੾࣮ʣ

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  29. ʲ࠶ܝʳࢲ͕΍͖ͬͯͨ͜ͱʢ࣌ܥྻʣ


    ʮۦ͚ग़͠ʯʮطʹϝϯόʔʯʮϚωδϝϯτ΍Δʯ͙Β͍Ͱ࿩͠·͢

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  30. ͜Ε͔ΒσʔλαΠΤϯεʹۦ͚ग़͢ํ΁
    • σʔλͷલॲཧɾΞϊςʔγϣϯɾWebΞϓϦ࡞Γetc…

    ͱʹ͔͘໨ͷલͷࣄΛ΍ͬͯ݁Ռɾ੒Ռग़͢ͱಉ࣌ʹεΩϧ͚ͭΑ͏.


    • ͜ͷ࣌ظ͸ͱʹ͔͘σʔλʹ৮Ε࣮ͯફܦݧΛੵΉ΂͖.

    ੜσʔλͱରቂ͢Δ, υοΫϑʔσΟϯά͢Δͷ௒େࣄ.


    • ʮࣗ෼ࣗ਎Ͱ΍ΔػցֶशϓϩδΣΫτʯΛ΍Δͱঘྑ͍.

    ࢲ͸ʮ໺ٿσʔλ෼ੳʯͰֶࣗࣗशͯ͠΍͍͍ͬͯײ͡ʹͳΓ·ͨ͠.

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  31. طʹϝϯόʔͱͯ͠׆༂͍ͯ͠Δํ΁
    • ϓϩδΣΫτɾϓϩμΫτͷείʔϓͱΰʔϧΛҙࣝͯ͠

    σϦόϦʔͰ͖ΔΑ͏, ٕज़ͱϚωδϝϯτΛֶͼ·͠ΐ͏.


    • ্ͷਓ΋Լͷਓ΋ʮٕज़Θ͔ΒΜʯʮAIΘ͔ΒΜʯͱݴ͍͕ͪͰ

    ͓৺͕αϯυΠονʹͳΔͱࢥ͍·͕͕͢͜͜౿ΜுΓͲ͜Ζ.


    • ʮԶ͸ΤϯδχΞʯʮࢲ͸σʔλαΠΤϯςΟετʯతͳҙࢤΛ࣋ͭ

    …ͷʹՃ͑ͯ, ʮଞऀ΁ͷઆ໌ྗʯʮνʔϜΛಈ͔͢εΩϧʯΛ͚ͭΔ.

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  32. ϚωδϝϯτΛ͍ͯ͠Δor͜Ε͔Β͢Δਓ΁
    • Կ͕͋ͬͯ΋ࣗ෼͕έπΛ࣋ͭʂ͙Β͍ʹ΍Γ·͠ΐ͏.


    • ʮࣗ෼͕σʔλαΠΤϯεɾΤϯδχΞϦϯάʹڧ͍ʯ͚ͩͰ͸✗

    νʔϜͱͯ͠, ձࣾͱͯ͠੒Ռ͕ग़ͯφϯϘͰ͢.


    • ࣗ෼ͷؤுΓҎ্ʹ, νʔϜϝϯόʔͷϞνϕʔγϣϯ૑ग़

    &αʔόϯτɾϦʔμʔγοϓతʹࢧ͑Δ&མ͍ͪͯΔϘʔϧΛर͏ͷ͕˕


    • νʔϜͰͷ࢓ࣄͰ੒Ռ͕ग़ΔͱνʔϜϝϯόʔͱࣗ෼ͷΩϟϦΞ͕Ұؾʹ๛͔ʹͳΓ·͢.

    &Ծʹ੒ՌͰͳͯ͘΋ͦͷֶͼ͕ܦݧͱͳΓ, ࣗ਎ͷࢢ৔Ձ஋ʹܨ͕Γ·͢.

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  33. ʲ࠶ܝʳຊ೔ͷ͓࿩
    • ػցֶशΤϯδχΞʹඞཁͳ΋ͷ͸ҎԼ3ͭ.

    ʢશ෦཈͑ͳ͍͍͔ͯ͘ΒҰͭಘҙʹͳΖ͏ʣ


    • ΞϓϦΛ࡞Δɾಈ͔͢εΩϧ


    • ΠϯϑϥΛߏஙɾӡ༻͢ΔεΩϧ


    • ϏδωεεΩϧʢ͜Ε͕͘͢͝େࣄʣ


    • ੜͷσʔλʹ৮ΕΔɾυοΫϑʔσΟϯά͢Δश׳େࣄ.


    • ΑΓ্ͷΩϟϦΞΛ໨ࢦ͢ਓ͸, ίϛϡχέʔγϣϯͱ

    νʔϜϚωδϝϯτΛେ੾ʹ.

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  34. զࢥ͏ʢ·ͱΊʣ
    • σʔλαΠΤϯεΛ޷͖ʹͳΓ, ҙࢤΛ࣋ͬͯԿ͔Λ΍Γ͖Δ.

    ͦΜͳؾ࣋ͪͰ࢓ࣄͰ͖Δͱ࠷ߴͰ͢&ͦ͏͍͏໨ඪΛݟ͚ͭΑ͏.


    • ࢲͷ৔߹, ࢓ࣄͱฒߦͯ͠޷͖ͳʮ໺ٿͷσʔλαΠΤϯεʯͰ

    ٕज़΋৺΋ຏ͔Ε·ͨ͠&ޙ೔͜Ε͕࢓ࣄʹ΋ͳͬͨ.


    • ٕज़εΩϧ + ͍͍ײ͡ͷίϛϡχέʔγϣϯͱϚωδϝϯτεΩϧ.

    ͜ͷ2ͭἧ͏ͱ͍͍ײ͡ʹ৯͍͚ͬͯ·͢ʢσʔλαΠΤϯεʹݶΒͣʣ.

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  35. ʁʁʁʮ͍͍ຊɾࢿྉ͋Γ·͔͢ʁʯ
    • ʮ࢓ࣄͰ͸͡ΊΔػցֶशʯͪ͜Β͕େ͍ʹࢀߟʹͳΓ·ͨ͠.


    • https://www.oreilly.co.jp/books/9784873119472/


    • ࣮຿ʹ޲͚ͯͷ࣮ફతͳ಺༰ɾ৺࣋ͪඇৗʹૉ੖Β͍͠ݴޠԽ͞Εͯ

    ͍·͢, ͓࢓ࣄʹ͢Δํ͸ͥͻ͝ҰಡΛ


    • खલຯḩʹͳΓ·͕͢, ࢲͷϒϩάͰ΋ΩϟϦΞʹ͍ͭͯղઆ͍ͯ͠·͢.


    • https://shinyorke.hatenablog.com/entry/data-science-2020

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  36. ʮਪ͠͸ਪͤΔ࣌ʹਪͤʯͱ͍͏ԶͷDXΛ࣮ݱ͢ΔͨΊͷαʔόϨεͳσʔλج൫։ൃͱӡ༻


    https://event.shoeisha.jp/devsumi/20230209/session/4196/
    ʲ࠶ܝʳσϒαϛདྷͯͶʢ2/10 15:05ొஃʣ

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  37. ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠⽁


    @shinyorke

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