SlideShare a Scribd company logo
4
●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●
                                                                    ●   ●   ●   ●   ●   ●   ●




●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●       ●   ●   ●   ●   ●   ●   ●




●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●       ●   ●   ●   ●   ●   ●   ●   ●




●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●




●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●




●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●
                                                            ●●      ●   ●   ●   ●   ●   ●   ●




●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●
                                                        ●       ●   ●   ●   ●   ●   ●   ●   ●
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16
Tokyor16

More Related Content

Viewers also liked

異常行動検出入門 – 行動データ時系列のデータマイニング –
異常行動検出入門 – 行動データ時系列のデータマイニング –異常行動検出入門 – 行動データ時系列のデータマイニング –
異常行動検出入門 – 行動データ時系列のデータマイニング –Yohei Sato
 
TokyoWebmining統計学部 第1回
TokyoWebmining統計学部 第1回TokyoWebmining統計学部 第1回
TokyoWebmining統計学部 第1回Issei Kurahashi
 
Tokyo Webmining #12 Hapyrus
Tokyo Webmining #12 HapyrusTokyo Webmining #12 Hapyrus
Tokyo Webmining #12 Hapyrus
Koichi Fujikawa
 
Tokyor17
Tokyor17Tokyor17
サーバ異常検知入門
サーバ異常検知入門サーバ異常検知入門
サーバ異常検知入門mangantempy
 
Rで解く最適化問題 線型計画問題編
Rで解く最適化問題   線型計画問題編 Rで解く最適化問題   線型計画問題編
Rで解く最適化問題 線型計画問題編 Hidekazu Tanaka
 
3次元のデータをグラフにする(Tokyo.R#17)
3次元のデータをグラフにする(Tokyo.R#17)3次元のデータをグラフにする(Tokyo.R#17)
3次元のデータをグラフにする(Tokyo.R#17)
Takumi Tsutaya
 
近似ベイズ計算によるベイズ推定
近似ベイズ計算によるベイズ推定近似ベイズ計算によるベイズ推定
近似ベイズ計算によるベイズ推定
Kosei ABE
 
Tokyo webmining 複雑ネットワークとデータマイニング
Tokyo webmining 複雑ネットワークとデータマイニングTokyo webmining 複雑ネットワークとデータマイニング
Tokyo webmining 複雑ネットワークとデータマイニング
Hiroko Onari
 
Tokyo r18
Tokyo r18Tokyo r18
Tokyo r18
Takashi Minoda
 
Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18
Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18
Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18horihorio
 
100614 構造方程式モデリング基本の「き」
100614 構造方程式モデリング基本の「き」100614 構造方程式モデリング基本の「き」
100614 構造方程式モデリング基本の「き」
Shinohara Masahiro
 
Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -
Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -
Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -
Yohei Sato
 
Rによるデータサイエンス13「樹木モデル」
Rによるデータサイエンス13「樹木モデル」Rによるデータサイエンス13「樹木モデル」
Rによるデータサイエンス13「樹木モデル」Takeshi Mikami
 
時系列分析による異常検知入門
時系列分析による異常検知入門時系列分析による異常検知入門
時系列分析による異常検知入門Yohei Sato
 
エクセルで統計分析 統計プログラムHADについて
エクセルで統計分析 統計プログラムHADについてエクセルで統計分析 統計プログラムHADについて
エクセルで統計分析 統計プログラムHADについて
Hiroshi Shimizu
 
Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜
Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜
Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜Takahiro Inoue
 

Viewers also liked (20)

異常行動検出入門 – 行動データ時系列のデータマイニング –
異常行動検出入門 – 行動データ時系列のデータマイニング –異常行動検出入門 – 行動データ時系列のデータマイニング –
異常行動検出入門 – 行動データ時系列のデータマイニング –
 
Tokyor18
Tokyor18Tokyor18
Tokyor18
 
2ch
2ch2ch
2ch
 
TokyoWebmining統計学部 第1回
TokyoWebmining統計学部 第1回TokyoWebmining統計学部 第1回
TokyoWebmining統計学部 第1回
 
Tokyo Webmining #12 Hapyrus
Tokyo Webmining #12 HapyrusTokyo Webmining #12 Hapyrus
Tokyo Webmining #12 Hapyrus
 
Tokyor17
Tokyor17Tokyor17
Tokyor17
 
サーバ異常検知入門
サーバ異常検知入門サーバ異常検知入門
サーバ異常検知入門
 
Tokyo r 10_12
Tokyo r 10_12Tokyo r 10_12
Tokyo r 10_12
 
Rで解く最適化問題 線型計画問題編
Rで解く最適化問題   線型計画問題編 Rで解く最適化問題   線型計画問題編
Rで解く最適化問題 線型計画問題編
 
3次元のデータをグラフにする(Tokyo.R#17)
3次元のデータをグラフにする(Tokyo.R#17)3次元のデータをグラフにする(Tokyo.R#17)
3次元のデータをグラフにする(Tokyo.R#17)
 
近似ベイズ計算によるベイズ推定
近似ベイズ計算によるベイズ推定近似ベイズ計算によるベイズ推定
近似ベイズ計算によるベイズ推定
 
Tokyo webmining 複雑ネットワークとデータマイニング
Tokyo webmining 複雑ネットワークとデータマイニングTokyo webmining 複雑ネットワークとデータマイニング
Tokyo webmining 複雑ネットワークとデータマイニング
 
Tokyo r18
Tokyo r18Tokyo r18
Tokyo r18
 
Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18
Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18
Rで学ぶ現代ポートフォリオ理論入門 - TokyoR #18
 
100614 構造方程式モデリング基本の「き」
100614 構造方程式モデリング基本の「き」100614 構造方程式モデリング基本の「き」
100614 構造方程式モデリング基本の「き」
 
Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -
Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -
Rで学ぶ 傾向スコア解析入門 - 無作為割り当てが出来ない時の因果効果推定 -
 
Rによるデータサイエンス13「樹木モデル」
Rによるデータサイエンス13「樹木モデル」Rによるデータサイエンス13「樹木モデル」
Rによるデータサイエンス13「樹木モデル」
 
時系列分析による異常検知入門
時系列分析による異常検知入門時系列分析による異常検知入門
時系列分析による異常検知入門
 
エクセルで統計分析 統計プログラムHADについて
エクセルで統計分析 統計プログラムHADについてエクセルで統計分析 統計プログラムHADについて
エクセルで統計分析 統計プログラムHADについて
 
Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜
Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜
Map Reduce 〜入門編:仕組みの理解とアルゴリズムデザイン〜
 

Similar to Tokyor16

正誤表 p39
正誤表 p39正誤表 p39
正誤表 p39zafiro555
 
Fairisle knitting
Fairisle knittingFairisle knitting
Fairisle knittingzafiro555
 
Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...
Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...
Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...
Roxana Hickey
 
Barley environmental association - Plant & Animal Genome 2018
Barley environmental association - Plant & Animal Genome 2018Barley environmental association - Plant & Animal Genome 2018
Barley environmental association - Plant & Animal Genome 2018
PeterMorrell4
 
20131212 - Sydney - Garvan Institute - Human Genetics and Big Data
20131212 - Sydney - Garvan Institute - Human Genetics and Big Data20131212 - Sydney - Garvan Institute - Human Genetics and Big Data
20131212 - Sydney - Garvan Institute - Human Genetics and Big Data
Allen Day, PhD
 
2018 jsm vancouver
2018 jsm vancouver2018 jsm vancouver
2018 jsm vancouver
Bin Chen
 
Fruit breedomics workshop wp6 application of high throughput micheletti
Fruit breedomics workshop wp6 application of high throughput michelettiFruit breedomics workshop wp6 application of high throughput micheletti
Fruit breedomics workshop wp6 application of high throughput micheletti
fruitbreedomics
 
Model Visualisation (with ggplot2)
Model Visualisation (with ggplot2)Model Visualisation (with ggplot2)
Model Visualisation (with ggplot2)Hadley Wickham
 
Modul mulus bahagian c sjk (modul guru)
Modul mulus bahagian c sjk (modul guru)Modul mulus bahagian c sjk (modul guru)
Modul mulus bahagian c sjk (modul guru)
Anparasu
 
Modul mulus bahagian c sk (modul murid)
Modul mulus bahagian c sk (modul murid)Modul mulus bahagian c sk (modul murid)
Modul mulus bahagian c sk (modul murid)
Anparasu
 
Modul mulus bahagian c sk (modul guru)
Modul mulus bahagian c sk (modul guru)Modul mulus bahagian c sk (modul guru)
Modul mulus bahagian c sk (modul guru)
Anparasu
 
Modul mulus bahagian c sjk (modul murid)
Modul mulus bahagian c sjk (modul murid)Modul mulus bahagian c sjk (modul murid)
Modul mulus bahagian c sjk (modul murid)
Anparasu
 
Deep dive into Nagios analytics
Deep dive into Nagios analyticsDeep dive into Nagios analytics
Deep dive into Nagios analytics
Datadog
 
Aiello-Lammens: Global Sensitivity Analysis for Impact Assessments.
Aiello-Lammens:  Global Sensitivity Analysis for Impact Assessments.Aiello-Lammens:  Global Sensitivity Analysis for Impact Assessments.
Aiello-Lammens: Global Sensitivity Analysis for Impact Assessments.questRCN
 
Comparing public RNA-seq data
Comparing public RNA-seq dataComparing public RNA-seq data
Comparing public RNA-seq data
mikaelhuss
 
The Ecology of Forage Fish in the Salish Sea
The Ecology of Forage Fish in the Salish SeaThe Ecology of Forage Fish in the Salish Sea
The Ecology of Forage Fish in the Salish Sea
Tessa Francis
 
Los Angeles R users group - July 12 2011 - Part 1
Los Angeles R users group - July 12 2011 - Part 1Los Angeles R users group - July 12 2011 - Part 1
Los Angeles R users group - July 12 2011 - Part 1rusersla
 

Similar to Tokyor16 (20)

正誤表 p39
正誤表 p39正誤表 p39
正誤表 p39
 
Fairisle knitting
Fairisle knittingFairisle knitting
Fairisle knitting
 
Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...
Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...
Community dynamics of the adolescent vaginal microbiome during puberty (UOreg...
 
17 polishing
17 polishing17 polishing
17 polishing
 
Barley environmental association - Plant & Animal Genome 2018
Barley environmental association - Plant & Animal Genome 2018Barley environmental association - Plant & Animal Genome 2018
Barley environmental association - Plant & Animal Genome 2018
 
20131212 - Sydney - Garvan Institute - Human Genetics and Big Data
20131212 - Sydney - Garvan Institute - Human Genetics and Big Data20131212 - Sydney - Garvan Institute - Human Genetics and Big Data
20131212 - Sydney - Garvan Institute - Human Genetics and Big Data
 
2018 jsm vancouver
2018 jsm vancouver2018 jsm vancouver
2018 jsm vancouver
 
Fruit breedomics workshop wp6 application of high throughput micheletti
Fruit breedomics workshop wp6 application of high throughput michelettiFruit breedomics workshop wp6 application of high throughput micheletti
Fruit breedomics workshop wp6 application of high throughput micheletti
 
Model Visualisation (with ggplot2)
Model Visualisation (with ggplot2)Model Visualisation (with ggplot2)
Model Visualisation (with ggplot2)
 
Modul mulus bahagian c sjk (modul guru)
Modul mulus bahagian c sjk (modul guru)Modul mulus bahagian c sjk (modul guru)
Modul mulus bahagian c sjk (modul guru)
 
Modul mulus bahagian c sk (modul murid)
Modul mulus bahagian c sk (modul murid)Modul mulus bahagian c sk (modul murid)
Modul mulus bahagian c sk (modul murid)
 
Modul mulus bahagian c sk (modul guru)
Modul mulus bahagian c sk (modul guru)Modul mulus bahagian c sk (modul guru)
Modul mulus bahagian c sk (modul guru)
 
Modul mulus bahagian c sjk (modul murid)
Modul mulus bahagian c sjk (modul murid)Modul mulus bahagian c sjk (modul murid)
Modul mulus bahagian c sjk (modul murid)
 
Deep dive into Nagios analytics
Deep dive into Nagios analyticsDeep dive into Nagios analytics
Deep dive into Nagios analytics
 
Aiello-Lammens: Global Sensitivity Analysis for Impact Assessments.
Aiello-Lammens:  Global Sensitivity Analysis for Impact Assessments.Aiello-Lammens:  Global Sensitivity Analysis for Impact Assessments.
Aiello-Lammens: Global Sensitivity Analysis for Impact Assessments.
 
Comparing public RNA-seq data
Comparing public RNA-seq dataComparing public RNA-seq data
Comparing public RNA-seq data
 
The Ecology of Forage Fish in the Salish Sea
The Ecology of Forage Fish in the Salish SeaThe Ecology of Forage Fish in the Salish Sea
The Ecology of Forage Fish in the Salish Sea
 
01 Intro
01 Intro01 Intro
01 Intro
 
Los Angeles R users group - July 12 2011 - Part 1
Los Angeles R users group - July 12 2011 - Part 1Los Angeles R users group - July 12 2011 - Part 1
Los Angeles R users group - July 12 2011 - Part 1
 
14 case-study
14 case-study14 case-study
14 case-study
 

More from Daisuke Ichikawa

R25LT
R25LTR25LT
母集団と標本
母集団と標本母集団と標本
母集団と標本
Daisuke Ichikawa
 
Tokyor20
Tokyor20Tokyor20
Saku110716
Saku110716Saku110716
Saku110716
Daisuke Ichikawa
 
Tokyor15mod
Tokyor15modTokyor15mod
Tokyor15mod
Daisuke Ichikawa
 
Tokyo r11caret
Tokyo r11caretTokyo r11caret
Tokyo r11caret
Daisuke Ichikawa
 
ggplot2できれいなグラフ
ggplot2できれいなグラフggplot2できれいなグラフ
ggplot2できれいなグラフDaisuke Ichikawa
 

More from Daisuke Ichikawa (11)

sampling
samplingsampling
sampling
 
Maeshori missing
Maeshori missingMaeshori missing
Maeshori missing
 
R25LT
R25LTR25LT
R25LT
 
母集団と標本
母集団と標本母集団と標本
母集団と標本
 
Tokyor23
Tokyor23Tokyor23
Tokyor23
 
Tokyor20
Tokyor20Tokyor20
Tokyor20
 
Saku110716
Saku110716Saku110716
Saku110716
 
Tokyor15mod
Tokyor15modTokyor15mod
Tokyor15mod
 
世界のR(仮)
世界のR(仮)世界のR(仮)
世界のR(仮)
 
Tokyo r11caret
Tokyo r11caretTokyo r11caret
Tokyo r11caret
 
ggplot2できれいなグラフ
ggplot2できれいなグラフggplot2できれいなグラフ
ggplot2できれいなグラフ
 

Recently uploaded

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
Assure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyesAssure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..
UiPathCommunity
 
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
Jen Stirrup
 

Recently uploaded (20)

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
Assure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyesAssure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyes
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..
 
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
 

Tokyor16

  • 1.
  • 2.
  • 3.
  • 4. 4
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38. ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●