Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
蔵人体験(甘酒麹造り)2021/6/19~6/20
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
nanamin_iot
June 29, 2021
Science
820
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
蔵人体験(甘酒麹造り)2021/6/19~6/20
nanamin_iot
June 29, 2021
More Decks by nanamin_iot
See All by nanamin_iot
スマートハウスの蓄電性能の効率化を実現してみた~電気自動車編~
runrunsan
0
510
いざというときに役立った! IoC(Internet of Cats)ガジェット
runrunsan
0
460
IoT×サーモに挑戦する第一歩
runrunsan
0
420
今こそスマートハウス!
runrunsan
0
4.5k
キャンプでIoT冷蔵庫は使えるのか
runrunsan
0
620
"IoT冷蔵庫"に挑戦!
runrunsan
0
340
キャンプIoTに挑戦!vol.2
runrunsan
0
1.9k
IoT樽に挑戦!
runrunsan
1
3.2k
キャンプIoTに挑戦!
runrunsan
0
620
Other Decks in Science
See All in Science
生成AIの現状と展望
tagtag
PRO
0
140
機械学習 - 授業概要
trycycle
PRO
0
540
機械学習 - K近傍法 & 機械学習のお作法
trycycle
PRO
1
1.5k
AkarengaLT vol.41
hashimoto_kei
1
140
Bear-safety-running
akirun_run
0
160
MATSUO Makiko
genomethica
0
150
「遂行理論の未来」(松島斉教授最終講義記念セッションの発表資料)
shunyanoda
0
930
機械学習 - pandas入門
trycycle
PRO
0
640
なぜエネルギーは保存する? 〜自由落下でわかる“対称性”とネーターの定理〜
syotasasaki593876
0
190
20260410_SystemsThinking
takusamar
1
110
データベース03: 関係データモデル
trycycle
PRO
1
560
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
1.7k
Featured
See All Featured
The browser strikes back
jonoalderson
0
1.3k
The Curse of the Amulet
leimatthew05
2
13k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
870
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
1
540
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
1
2.1k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
400
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
150
Into the Great Unknown - MozCon
thekraken
41
2.6k
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.3k
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
630
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
310
Transcript
IUUQTLVSBCJUPTUBZDPNCMPHJOGPLVSBCJUPLVSBCJUPUBJLFO ଂਓମݧʢञ߿Γʣ!,63"#*5045":ʢ٦ञʣ ʙ ͳͳΈΜ
ࠓճͷମݧείʔϓ Ҿ༻ɿIUUQTKQTBLFUJNFTDPNLOPXMFEHFXPSETBLF@TBLFLBTV ᶃ ᶄ ᶅ
ञଂʹೖΔલʹ͓ᜄ͍ ੲ͔Βञଂਆͳॴͱ͞Ε͍ͯ·ͨ͠ɻञଂʹೖΔલʹɺ҆શفئͱ͓ᜄ͍ͷਆࣄΛࣥΓߦ͍·͢ɻ
ᶃચถʙਁ௮ ચถɻถΛʮӭ͕ͤΔΑ͏ʹʯચͬͯߙΛམͱ͢࡞ۀͰ͢ɻ ਁਫ࣌ؒඵ୯ҐͰɺقઅؾԹʹΑͬͯม͍͖͑ͯ·͢ɻ
ᶃચถʙਁ௮ ચ͓ͬͨถͷਫؾΛΑ͘Γ·͢ɻ
ᶄৠ͠ʙ์ྫྷʙ߿ࣨͷҾ͖ࠐΈ ࡢચถ͠ਫΓ͓ͨ͠ถΛେ͖ͳৠ͠ثͷதʹೖΕɺۉҰʹৠ͞ΕΔΑ͏ɺް͞Λۉʹ͍͖ͯ͠·͢ɻ ʢ༡ΜͰ͍ΔΘ͚Ͱ͋Γ·ͤΜসʣ
ᶄৠ͠ʙ์ྫྷʙ߿ࣨͷҾ͖ࠐΈ ৠ͕࢝͠·ΔͱɺϞΫϞΫͱ౬ؾ͕ଂதΛ෴͍ਚ͘͠·͢ɻ ञଂͷ͔ࠜΒ౬ؾ͕ग़͍ͯΔͷΛݟͨ͜ͱ͕͋Γ·͕͢ɺ͜Εʮৠ͠ʯ͕ߦΘΕ͍ͯΔαΠϯͳͷͰ͢Ͷɻ
ᶄৠ͠ʙ์ྫྷʙ߿ࣨͷҾ͖ࠐΈ ৠ͕͓͋ͬͨ͠ถΛຯݟɻ ͜ΕΛԳʹೖΕͯӡͼ·͢ɻྗࣄʂ
ᶄৠ͠ʙ์ྫྷʙ߿ࣨͷҾ͖ࠐΈ ৠ͓ͨ͠ถΛۭؾʹ৮Εͤ͞ʮ์ྫྷʯ ͤ͞·͢ɻۉʹ͓ถΛ͛ͯԹΛ ۉҰԽ͢Δͷ͕ϙΠϯτͰ͢ɻ ߿ࣨʢ͜͏͡ΉΖʣʹҾ͖ࠐΈ·͢ɻ ࣮ࡍʹɺݩʹ͋ΔϗʔεΛ௨ͯ͠ถ Λඈͯ͠ӡͿ͜ͱ͋Δͦ͏Ͱ͢ɻ
ᶅ߿ʢ͍ͤ͗͘ʣ ߿ࣨԹˆఔɺ࣪ఔʹอͨΕ͍ͯ·͢ɻ छ߿ʢ৭ͷคΈ͍ͨͳͷʣΛৼΓ͔͚ͯࠞͥɺৼΓ͔͚ͯࠞͥΛճ܁Γฦ͠·ͨ͠ɻ
ᶅ߿ʢ͍ͤ͗͘ʣ ॆʹࠞͬͨ͟ΒɺͰแΜͰอଘ͠·͢ɻԹܭΛͯ͞͠ɺ͓ถͷԹཧΛ͠·͢ʢԹ࣪ཧ͕ॏཁͩͦ͏ʣɻ ॆʹʮԽʯͨ͠ΒɺʮރΒ͠ʯͱ͍͏ఔʢ߿ەͷൃ߬ΛࢭΊΔͨΊͱਫΛඈ͢ʣΛܦͯɺ͔͚ͯ߿͕ɻ͜Ε͕ɺถ ߿༝དྷͷञͷͱͱͳΔͷͰ͢ɻ
ʢ൪֎ฤʣ߿ͷબΓ͚ ߿ͷதʹࠇ͍߿ม৭ͨ͠߿͕ͳ͍͔ɺࢹνΣοΫΛ͠·͢ɻʢ࣮ࢪ͠ͳ͍ञଂ͋Δʣ ञʹͳͬͨͱ͖ʹݟ͕ͨѱ͍ͷͰɺ͜ͷஈ֊ͰऔΓআ͖·͢ɻʢञʹͳ͔ͬͯΒऔΓআ͘͜ͱ͋Δͦ͏Ͱ͢ʣ
ञଂݟֶʙຊञͷஷଂλϯΫ ࠨͷࣸਅɺλϯΫΛ্͔Βݟͨͱ͜Ζɻ ٦ଂञ͞Μͷ߹ɺͷ͕ΜͰ͋Δͷ͕ϙΠϯτɻ λϯΫɺଟ͘ͷञ͞ΜͰΘΕ͍ͯΔʮϗʔϩʔλϯΫʯͰ͢ɻେ͖͍ɻ
ञଂݟֶʙࡡΓʢ্૧ʣ ʮϠϒλࣜʯʢࣗಈѹࡡػʣΛͬͨߜΓɻଟ͘ͷञଂͰΘΕΔɻ ΞίʔσΟΦϯঢ়ͷѹࡡػͷதʹᬯʢΖΈʣΛೖΕͯɺ ྆ଆ͔ΒʢۭؾΛೖΕʣѹྗΛՃ͑ߜΔɻʮ൘പʯ͕Ͱ͖ΔͷϠϒλࣜ ੲͳ͕Βͷʮ૧ʢ;ͳʣߜΓʯɻञାͱݺΕΔାʹᬯΛೖΕɺ ʮ૧ʢ;ͶʣʯͱݺΕΔࡉ͍ಓ۩ͷதʹ ञାΛԿʹॏͶͯฒΔɻϠϒλࣜͱൺֱ͕͔͔ͯ࣌ؒ͠Δɻ
ञଂݟֶʙࠐΈਫ ҿྉʹద͍ͯ͠Δɺͱ͓͖ͷԼਫɻຊञΓʹେྔͷਫΛ͏͜ͱ͔Βɺ ʮ໊ਫ͋Δͱ͜Ζʹ໊ञ͋ΓʯͱݴΘΕΔɻQ)ɺߗͷೈਫɻ
߿ηϛφʔ Ҿ༻ɿIUUQTKQTBLFUJNFTDPNJOGPHSBQIJDTGSFFEPXOMPBE ຊञΓͰɺถͷͰΜΜͷԽͱɺΛΞϧίʔϧʹม͑ΔΞϧίʔϧൃ͕߬ ಉ࣌ฒߦͰͭͷλϯΫͰߦΘΕΔɻʮฒߦෳൃ߬ʯͱݺΕΔ छ߿ʢ߿ࣨͰৼΓ͔͚Δʣɻ छྨΛϒϨϯυ͍ͯͬͯ͠Δ IUUQXXXOJIPOKPV[PVDPKQQSPEVDUTTFJTIV "TQFSHJMMVTPSZ[BF ʢΞεϖϧΪϧεΦϦθʣ
ແࣄଔۀʂ͋Γ͕ͱ͏͍͟͝·ͨ͠
ͦͷଞʙ͓৯ࣄ ͓༦൧ۙྡͷϨετϥϯʮΕΜʯʹͯɻ ࠤٱͷຊञछྨΛҿΈൺ ,63"#*5045":ʹ͋ΔࠤٱͷʮຊञαʔόʔʯͰҿΈൺ̇ ே͝ΜͷϨλεʮ৴भαʔϞϯʢཆ৩χδϚεʣʯ͕ΘΕ͍ͯͨ
ͦͷଞʙ͓෦ ৽ׁͷʮӽޙైࢯʢ͑ͪ͝ͱ͏͡ʣʯ͕ౙͷظؒຊञΓͷͨΊʹʹདྷͯɺ࣮ࡍʹ৸ധ·Γ͍ͯͨ͠ΤϦΞΛվͯ͠Ͱ͖ͨݸࣨɻ ڱ͍Ͱ͕͢γϯϓϧͰ͖Ε͍ɻ
ͦͷଞʙ͓࢈Ͱ͍͖ͨͩ·ͨ͠ ࢀՃऀ͚͕ͩҿΊΔɺඇചͷʮ७ถେۛৢɹແᖤաੜݪञʯ ΦϦδφϧϥϕϧɻ˞ແᖤաੜݪञͱ ʢ˞IUUQTKQTBLFUJNFTDPNLOPXMFEHFXPSETBLF@H@OJIPOTZVXPSE@QBSUʣ ञΛ࡞ΔͨΊͷੜ߿ͱɺञɻ ٦ञͷञɺߴ݈͞Μఆظతʹָ͠·Ε͍ͯͨͦ͏ɻ
ͦͷଞʙ͜ͷͷ༷ࢠ͕ݩͷ৽ฉʹܝࡌ ࢀՃऀͷλΠਓͷφλϙϯ͞Μɺ ୭ΑΓ߿ʹؔͯ͠ৄ͔ͬͨ͠Ͱ͢ɻ λΠͰञΛීٴ͍ͤͨ͞ͱͷ͜ͱʂ