G検定#２

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1. ෑډͷ௿͍"*ษڧձɹ
   "*δΣωϥϦετݕఆʢ೥݄ʣ߹֨ߨ࠲
   

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2. (ݕఆ߹֨ߨ࠲ɹୈճΞδΣϯμ
   w ߨࢣࣗݾ঺հˍຊߨ࠲ͷ໨తઆ໌ʢ෼ʣ
   w ࢀՃऀࣗݾ঺հʢ෼ʣ
   w (ݕఆͷ֓ཁઆ໌ʢ෼ʣ
   w ࠓճͷֶशൣғΛ঺հ
   w ʲ4UVEZ"*ʳ͔Βࠓճͷֶशൣғͷྫ୊ΛϐοΫΞοϓʢ෼ʣ
   w ࠓճͷֶशൣғͰಛʹཧղ͓͖͍ͯͨ͜͠ͱɹʢ෼ʣ
   w ػցֶशͱ͸Կͳͷ͔ɻ࣮ࡍͷϓϩάϥϛϯάΛݟͯΈΑ͏ʢ෼ʣ
   w ࣭ٙԠ౴ɹΞϯέʔτʢ෼ʣ
   

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3. ࣗݾ঺հˍຊߨ࠲ͷ໨తઆ໌
   

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4. ࣗݾ঺հ
   
   
   ҵ৓ݝੜ·Εҵ৓ݝҭͪ὎ૣҴాେֶʢจԽߏ૝ֶ෦ʣ
   ὎ܯࢹிܯ࡯׭὎ژ౎ͷ๭༗໊٤஡ళ
   ὎ϑϦʔϥΠλʔ὎*5اۀͷਓࣄ୲౰
   ൧ా༑޿
   ϓϩάϥϛϯάྺϲ݄ ͦͷ಺ ճͷ࠳ંܦݧΞϦ
   
   

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5. ຊߨ࠲ͷ໨త
   AIΛֶͼ͍ͨਓΛԠԉ͍ͨ͠ʂ
   ژ౎ͷAIൃలʹߩݙ͍ͨ͠ʂ
   AIനॻΛಡΈࡅ͘ମྗΛ਎ʹ͚ͭͯཉ͍͠ʂ
   ۀքʹ”Bump of Chicken” ΛՃ͑Δʂʂ
   

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6. ࢀՃऀࣗݾ঺հ
   1. ࢯ໊
   2. झຯ
   3. GݕఆΛडݧ͢Δ͔Ͳ͏͔
   4. AIͱͷؔΘΓʹ͍ͭͯ
   

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7. "*ਓࡐʹ͍ͭͯɺϦΞϧͳখ࿩
   
   
   ʮ"*ΤϯδχΞʹݶΒͣͰ͕͢ɺ

   

   ࠓɺݱ৔ʹ଍Γͳ͍ͷ͸θωϥϦετͱͯ͠׆༂Ͱ͖Δਓ

   

   ͩͱ͍͏͜ͱ͕Α͘ݴΘΕ͍ͯ·͢ɻΞϧΰϦζϜɺΤϯδχΞϦϯάɺϏδ
   ωεɺͦͷ͢΂ͯͷ෼໺ͰೳྗΛൃشͰ͖Δਓ͕ٻΊΒΕ͍ͯΔΑ͏Ͱ
   ͢ɻʯ
   CZגࣜձࣾϝϧΧϦɹ"*ΤϯδχΞɹদԬྰԻ͞Μ
   IUUQTUZQFKQFUGFBUVSF
   

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8. Gݕఆͷ֓ཁઆ໌
   

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9. (ݕఆͷ֓ཁઆ໌ఆٛ
   (ݕఆͱ͸ʁ
   ɹ"*δΣωϥϦετΛഉग़͢ΔͨΊͷݕఆͷ͜ͱ
   ɹ"*δΣωϥϦετͱ͸ʁ
   ɹʰσΟʔϓϥʔχϯάͷجૅ஌ࣝΛ༗͠ɺద੾ͳ׆༻ํ਑Λܾఆ͠
   ͯࣄۀԠ༻͢ΔೳྗΛ࣋ͭਓࡐʱʢ+%-"ެࣜ)1ʣ
   

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10. (ݕఆͷ֓ཁઆ໌ࢼݧ֓ཁ
    ެࣜHPΛࢀর͠·͠ΐ͏ʂ
    JDLAެࣜHP
    

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11. (ݕఆͷ֓ཁઆ໌࣮ࡍͲΜͳࢼݧͳͷʁ
    ࣌ؒ͸ΊͬͪΌݫ͍͠
    ͷ໰୊Λ෼Ͱղ౴͢Δʹ໰ʹ͔͚ΒΕΔฏۉ࣌ؒ͸໿ඵ
    ὎҉ه໰୊͸ଈ౴Ͱ͖ΔϨϕϧʹ͠Α͏ʂ
    ˑ5*14
    ɹ͢΂ͯͷ໰୊ʹ͸νΣοΫϘοΫε͕ଘࡏ͠·͢ɻ
    ɹগ͠Ͱ΋೰Μͩ໰୊͸νΣοΫͯ͠ޙճ͠ʹͯ͠͠·͓͏ʂ
    

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12. (ݕఆͷ֓ཁઆ໌࣮ࡍͲΜͳࢼݧͳͷʁ
    ໰୊΋ݫ͠Ί
    ؙ҉هͰ͸͢΂ͯʹ౴͑ΒΕͳ͍ɻ
    ಛʹσΟʔϓϥʔχϯάʹؔͯ͠͸ཧղΛਂΊ͍ͨͱ͜Ζɻ
    ˑTIPS
    ɹେ·͔ͳ໰୊ߏ੒͸ͪ͜Βɻ
    ɹ1:ਓ޻஌ೳͷجૅ஌ࣝʢୈ1ষʙୈ3ষʣɹɹ2ׂ
    ɹ2:σΟʔϓϥʔχϯάʢୈ4ষʙୈ7ষʣɹɹ6ׂ
    ɹ3:࢈ۀ΁ͷԠ༻ɾ࣌ࣄ໰୊ʢୈ8ষʙୈ9ষʣ2ׂ
    

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13. ࠓճͷֶशൣғ
    

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14. ࠓճͷֶशൣғ
    ୈ4ষɿػցֶशͷ۩ମతख๏
    ʢࢀরɿAIനॻɾGݕఆެࣜςΩετʣ
    

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15. ʲStudy-AIʳ͔Βࠓճͷֶशൣғͷྫ୊Λ
    ϐοΫΞοϓ
    

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16. 4UVEZ"*ͱ͸ʁ
    גࣜձࣾφτϑ͕ӡӦ͢Δɺਓ޻஌ೳΛֶͿ͜ͱͷͰ͖ΔαΠτ
    Study-AI
    

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17. ໛ٖࢼݧ໰୊ΛݟͯΈΑ͏
    Study-AI
    

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18. ໛ٖࢼݧ໰୊ΛݟͯΈΑ͏
    Study-AI
    

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19. ࠓճͷֶशൣғͰಛʹཧղ͓͖͍ͯͨ͜͠ͱ
    

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20. Ұཡ
    ୈষΑΓ
    ػցֶशͷछྨΛཧղ͠Α͏
    ϞσϧͷݕূɾධՁํ๏Λ஌Ζ͏
    ࣮ࡍʹಈ͘ػցֶशΛݟͯΈΑ͏
    

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21. ୈষΑΓ
    ػցֶशͷछྨΛཧղ͠Α͏
    ϞσϧͷݕূɾධՁํ๏Λ஌Ζ͏
    ࣮ࡍʹಈ͘ػցֶशΛݟͯΈΑ͏
    

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22. ػցֶशͷछྨ
    1. ڭࢣ͋Γֶश
    2. ڭࢣͳֶ͠श

    3. ڧԽֶश

    ʢ࣍ճ঺հʣ
    

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23. AISIA
    

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24. ڭࢣz͋Γzֶश
    ֓ཁɿֶशσʔλʹਖ਼ղϥϕϧΛ͚ͭΔʢೖྗͱग़ྗʣ
    ɹɹɹ὎ͦͷσʔλʢઆ໌ม਺ʹಛ௃ྔʣͱਖ਼ղʢ໨తม਺ʣͱͷؔ܎ੑΛ
    ɹɹɹɹֶश͢Δ
    ࢖༻ྫɿ͜Ε·ͰूΊͨσʔλ͔ΒύλʔϯΛೝࣝ͠ɺ೥ྸ༧ଌ͢Δ
    ɹɹɹɹʢΞϫϏͷ೥ྸ༧ଌɿճؼʣ
    ɹɹɹɹݘɺೣɺτϥͷը૾Λֶश͠ɺ෼ྨ͢ΔϞσϧ
    ɹɹɹɹʢλΠλχοΫ߸ɿ෼ྨʣ
    ɹɹɹɹˑޙ΄Ͳɺ࣮ࡍʹϓϩάϥϜΛಈ͔͠·͢
    

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25. ڭࢣ͋Γֶशʢ୅දతΞϧΰϦζϜʣ
    w ઢܗճؼɹɹɹɹɹɹɹɹʹɹճؼ໰୊ͷख๏

    ɹɹɹɹɹɹɹɹɹɹɹɹɹɹΞϫϏͷ೥ྸ༧ଌͰ঺հ
    w ϩδεςΟοΫճؼɹɹɹʹɹ෼ྨ໰୊ͷख๏
    w ϥϯμϜϑΥϨετɹɹɹʹɹ෼ྨ໰୊ͷख๏

    ɹɹɹɹɹɹɹɹɹɹɹɹɹɹλΠλχοΫ߸ੜଘऀ༧ଌͰ঺հ
    w ϒʔεςΟϯάɹɹɹɹɹʹɹ෼ྨ໰୊ͷख๏
    w αϙʔτϕΫλʔϚγϯɹʹɹ෼ྨɾճؼͲͪΒ΋0,
    w χϡʔϥϧωοτϫʔΫɹʹɹ෼ྨɾճؼͲͪΒ΋0,
    

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26. ڭࢣ͋ΓֶशʢϩδεςΟοΫճؼʣ
    http://nonbiri-tereka.hatenablog.com/entry/2014/06/30/134023
    γάϞΠυؔ਺
    

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27. ڭࢣ͋ΓֶशʢϥϯμϜϑΥϨετʣ
    ౷ܭϥϘ
    γάϞΠυؔ਺
    

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28. ڭࢣ͋ΓֶशʢϒʔεςΟϯάʣ
    Géron, Aurélien. "Hands on Machine Learning with scikit-learn and Tensorflow." (2017).
    

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29. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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30. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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31. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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32. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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33. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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34. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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35. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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36. ڭࢣ͋Γֶशʢ47.ʹαϙʔτϕΫλʔϚγϯʣ
    Logic of Blue
    

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37. ڭࢣ͋ΓֶशʢχϡʔϥϧωοτϫʔΫʣ
    https://www.atmarkit.co.jp/ait/articles/1811/20/news012.html
    ଟ૚ύʔηϓτϩϯ
    

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38. ڭࢣzͳ͠zֶश
    ֓ཁɿֶशσʔλʹϥϕϧΛ෇͚ͳ͍Ͱֶश͢ΔʢೖྗͷΈʣ
    ɹɹɹ὎ͦͷσʔλͷ࣋ͭߏ଄ɺಛ௃Λࣝผ͢Δ
    ɹɹɹɹྨࣅσʔλͷάϧʔϐϯά΍σʔλΛಛ௃͚ͮΔ৘ใΛநग़͢Δ
    ࢖༻ྫɿ&$αΠτͷߪങσʔλ͔Βɺސ٬૚ΛΫϥελϦϯά͢Δ
    ɹɹɹɹσʔλΛಛ௃෇͚Δ৘ใΛநग़͢Δʢ࣍ݩ࡟ݮʣ
    

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39. ڭࢣzͳ͠zֶश ΫϥελϦϯά
    
    

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40. ڭࢣzͳ͠zֶशʢ୅දతΞϧΰϦζϜʣ
    w LNFBOTɹɹɹɹɹɹ
    w ओ੒෼෼ੳɹɹɹɹɹɹɹ
    

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41. ڭࢣzͳ͠zֶशʢLNFBOTʣ
    Math Works
    

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42. ڭࢣzͳ͠zֶशʢLNFBOTʣ
    Math Works
    

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43. ڭࢣzͳ͠zֶशʢओ੒෼෼ੳʣ
    Tech Clips
    

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44. Founder
    

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45. ୈষΑΓ
    ػցֶशͷछྨΛཧղ͠Α͏
    ϞσϧͷݕূɾධՁํ๏Λ஌Ζ͏
    ࣮ࡍʹಈ͘ػցֶशΛݟͯΈΑ͏
    

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46. σʔλͷѻ͍
    ະ஌ͷσʔλʹର͢Δ༧ଌೳྗ͕େ੾
    ༻ҙͰ͖ΔσʔλΛ෼ׂ͠ɺධՁʢʹަࠩݕূʣ
    ɹɹɾ܇࿅༻ (train_set)
    ɹɹɾධՁ༻ (test_set)
    

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47. ਖ਼ଇԽ
    աֶशΛ๷͍Ͱ൚ԽੑೳΛߴΊΔͨΊͷςΫχοΫ
    AIZINE
    

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48. ୈষΑΓ
    ػցֶशͷछྨΛཧղ͠Α͏
    ϞσϧͷݕূɾධՁํ๏Λ஌Ζ͏
    ࣮ࡍʹಈ͘ػցֶशΛݟͯΈΑ͏
    

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49. ֓ཁ
    1. ෼͔Δ͜ͱ

    ػցֶशͷҰ࿈ͷྲྀΕɾલॲཧͷ࢓ํ

    ಛ௃ྔબఆͷ࢓ํ

    2. ੒Ռ෺

    ༧ଌ෼ੳ݁Ռ
    

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50. fin
    ୯ޠா
    

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