Artificial intelligence for dummies:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2022]
|
| Ausgabe: | 2nd edition |
| Schlagworte: | |
| Online-Zugang: | FHD01 |
| Beschreibung: | 1 Online-Ressource (xiv, 344 Seiten) |
| ISBN: | 9781119796770 |
Internformat
MARC
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| 245 | 1 | 0 | |a Artificial intelligence for dummies |c by John Paul Mueller and Luca Massaron |
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| 264 | 1 | |a Hoboken, New Jersey |b Wiley |c [2022] | |
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| 505 | 8 | |a Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Introducing AI -- Chapter 1 Introducing AI -- Defining the Term AI -- Discerning intelligence -- Discovering four ways to define AI -- Understanding the History of AI -- Starting with symbolic logic at Dartmouth -- Continuing with expert systems -- Overcoming the AI winters -- Considering AI Uses -- Avoiding AI Hype and Overestimation -- Defining the five tribes and the master algorithm -- Considering sources of hype | |
| 505 | 8 | |a Understanding user overestimation -- Connecting AI to the Underlying Computer -- Chapter 2 Defining the Role of Data -- Finding Data Ubiquitous in This Age -- Understanding Moore's implications -- Using data everywhere -- Putting algorithms into action -- Using Data Successfully -- Considering the data sources -- Obtaining reliable data -- Making human input more reliable -- Using automated data collection -- Collecting personal data ethically -- Manicuring the Data -- Dealing with missing data -- Considering data misalignments -- Separating useful data from other data | |
| 505 | 8 | |a Considering the Five Mistruths in Data -- Commission -- Omission -- Perspective -- Bias -- Frame of reference -- Defining the Limits of Data Acquisition -- Considering Data Security Issues -- Understanding purposefully biased data -- Dealing with data-source corruption -- Cancelling botnets with sinkholing -- Chapter 3 Considering the Use of Algorithms -- Understanding the Role of Algorithms -- Understanding what algorithm means -- Planning and branching: Trees and nodes -- Extending the tree using graph nodes -- Traversing the graph -- Playing adversarial games | |
| 505 | 8 | |a Using local search and heuristics -- Discovering the Learning Machine -- Leveraging expert systems -- Introducing machine learning -- Touching new heights -- Chapter 4 Pioneering Specialized Hardware -- Relying on Standard Hardware -- Understanding the standard hardware -- Describing standard hardware deficiencies -- Relying on new computational techniques -- Using GPUs -- Considering the von Neumann bottleneck -- Defining the GPU -- Considering why GPUs work well -- Working with Deep Learning Processors (DLPs) -- Defining the DLP -- Using the mobile Neural Processing Unit (NPU) | |
| 505 | 8 | |a Accessing the cloud-based Tenser Processing Unit (TPU) -- Creating a Specialized Processing Environment -- Increasing Hardware Capabilities -- Adding Specialized Sensors -- Devising Methods to Interact with the Environment -- Part 2 Considering the Uses of AI in Society -- Chapter 5 Seeing AI Uses in Computer Applications -- Introducing Common Application Types -- Using AI in typical applications -- Realizing AI's wide range of fields -- Considering the Chinese Room argument -- Seeing How AI Makes Applications Friendlier -- Performing Corrections Automatically | |
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Datensatz im Suchindex
| _version_ | 1804183374300971008 |
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| author | Mueller, John Paul 1958- Massaron, Luca |
| author_GND | (DE-588)137976984 (DE-588)1104968622 |
| author_facet | Mueller, John Paul 1958- Massaron, Luca |
| author_role | aut aut |
| author_sort | Mueller, John Paul 1958- |
| author_variant | j p m jp jpm l m lm |
| building | Verbundindex |
| bvnumber | BV047827968 |
| collection | ZDB-30-PQE |
| contents | Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Introducing AI -- Chapter 1 Introducing AI -- Defining the Term AI -- Discerning intelligence -- Discovering four ways to define AI -- Understanding the History of AI -- Starting with symbolic logic at Dartmouth -- Continuing with expert systems -- Overcoming the AI winters -- Considering AI Uses -- Avoiding AI Hype and Overestimation -- Defining the five tribes and the master algorithm -- Considering sources of hype Understanding user overestimation -- Connecting AI to the Underlying Computer -- Chapter 2 Defining the Role of Data -- Finding Data Ubiquitous in This Age -- Understanding Moore's implications -- Using data everywhere -- Putting algorithms into action -- Using Data Successfully -- Considering the data sources -- Obtaining reliable data -- Making human input more reliable -- Using automated data collection -- Collecting personal data ethically -- Manicuring the Data -- Dealing with missing data -- Considering data misalignments -- Separating useful data from other data Considering the Five Mistruths in Data -- Commission -- Omission -- Perspective -- Bias -- Frame of reference -- Defining the Limits of Data Acquisition -- Considering Data Security Issues -- Understanding purposefully biased data -- Dealing with data-source corruption -- Cancelling botnets with sinkholing -- Chapter 3 Considering the Use of Algorithms -- Understanding the Role of Algorithms -- Understanding what algorithm means -- Planning and branching: Trees and nodes -- Extending the tree using graph nodes -- Traversing the graph -- Playing adversarial games Using local search and heuristics -- Discovering the Learning Machine -- Leveraging expert systems -- Introducing machine learning -- Touching new heights -- Chapter 4 Pioneering Specialized Hardware -- Relying on Standard Hardware -- Understanding the standard hardware -- Describing standard hardware deficiencies -- Relying on new computational techniques -- Using GPUs -- Considering the von Neumann bottleneck -- Defining the GPU -- Considering why GPUs work well -- Working with Deep Learning Processors (DLPs) -- Defining the DLP -- Using the mobile Neural Processing Unit (NPU) Accessing the cloud-based Tenser Processing Unit (TPU) -- Creating a Specialized Processing Environment -- Increasing Hardware Capabilities -- Adding Specialized Sensors -- Devising Methods to Interact with the Environment -- Part 2 Considering the Uses of AI in Society -- Chapter 5 Seeing AI Uses in Computer Applications -- Introducing Common Application Types -- Using AI in typical applications -- Realizing AI's wide range of fields -- Considering the Chinese Room argument -- Seeing How AI Makes Applications Friendlier -- Performing Corrections Automatically |
| ctrlnum | (OCoLC)1296371233 (DE-599)BVBBV047827968 |
| edition | 2nd edition |
| format | Electronic eBook |
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| id | DE-604.BV047827968 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:08:33Z |
| indexdate | 2024-07-10T09:22:26Z |
| institution | BVB |
| isbn | 9781119796770 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033211267 |
| oclc_num | 1296371233 |
| open_access_boolean | |
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| owner_facet | DE-1050 DE-83 |
| physical | 1 Online-Ressource (xiv, 344 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Wiley |
| record_format | marc |
| spelling | Mueller, John Paul 1958- Verfasser (DE-588)137976984 aut Artificial intelligence for dummies by John Paul Mueller and Luca Massaron 2nd edition Hoboken, New Jersey Wiley [2022] © 2022 1 Online-Ressource (xiv, 344 Seiten) txt rdacontent c rdamedia cr rdacarrier Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Introducing AI -- Chapter 1 Introducing AI -- Defining the Term AI -- Discerning intelligence -- Discovering four ways to define AI -- Understanding the History of AI -- Starting with symbolic logic at Dartmouth -- Continuing with expert systems -- Overcoming the AI winters -- Considering AI Uses -- Avoiding AI Hype and Overestimation -- Defining the five tribes and the master algorithm -- Considering sources of hype Understanding user overestimation -- Connecting AI to the Underlying Computer -- Chapter 2 Defining the Role of Data -- Finding Data Ubiquitous in This Age -- Understanding Moore's implications -- Using data everywhere -- Putting algorithms into action -- Using Data Successfully -- Considering the data sources -- Obtaining reliable data -- Making human input more reliable -- Using automated data collection -- Collecting personal data ethically -- Manicuring the Data -- Dealing with missing data -- Considering data misalignments -- Separating useful data from other data Considering the Five Mistruths in Data -- Commission -- Omission -- Perspective -- Bias -- Frame of reference -- Defining the Limits of Data Acquisition -- Considering Data Security Issues -- Understanding purposefully biased data -- Dealing with data-source corruption -- Cancelling botnets with sinkholing -- Chapter 3 Considering the Use of Algorithms -- Understanding the Role of Algorithms -- Understanding what algorithm means -- Planning and branching: Trees and nodes -- Extending the tree using graph nodes -- Traversing the graph -- Playing adversarial games Using local search and heuristics -- Discovering the Learning Machine -- Leveraging expert systems -- Introducing machine learning -- Touching new heights -- Chapter 4 Pioneering Specialized Hardware -- Relying on Standard Hardware -- Understanding the standard hardware -- Describing standard hardware deficiencies -- Relying on new computational techniques -- Using GPUs -- Considering the von Neumann bottleneck -- Defining the GPU -- Considering why GPUs work well -- Working with Deep Learning Processors (DLPs) -- Defining the DLP -- Using the mobile Neural Processing Unit (NPU) Accessing the cloud-based Tenser Processing Unit (TPU) -- Creating a Specialized Processing Environment -- Increasing Hardware Capabilities -- Adding Specialized Sensors -- Devising Methods to Interact with the Environment -- Part 2 Considering the Uses of AI in Society -- Chapter 5 Seeing AI Uses in Computer Applications -- Introducing Common Application Types -- Using AI in typical applications -- Realizing AI's wide range of fields -- Considering the Chinese Room argument -- Seeing How AI Makes Applications Friendlier -- Performing Corrections Automatically Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Massaron, Luca Verfasser (DE-588)1104968622 aut Erscheint auch als Online-Ausgabe, ePDF 978-1-119-79678-7 Erscheint auch als Druck-Ausgabe 978-1-119-79676-3 |
| spellingShingle | Mueller, John Paul 1958- Massaron, Luca Artificial intelligence for dummies Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Introducing AI -- Chapter 1 Introducing AI -- Defining the Term AI -- Discerning intelligence -- Discovering four ways to define AI -- Understanding the History of AI -- Starting with symbolic logic at Dartmouth -- Continuing with expert systems -- Overcoming the AI winters -- Considering AI Uses -- Avoiding AI Hype and Overestimation -- Defining the five tribes and the master algorithm -- Considering sources of hype Understanding user overestimation -- Connecting AI to the Underlying Computer -- Chapter 2 Defining the Role of Data -- Finding Data Ubiquitous in This Age -- Understanding Moore's implications -- Using data everywhere -- Putting algorithms into action -- Using Data Successfully -- Considering the data sources -- Obtaining reliable data -- Making human input more reliable -- Using automated data collection -- Collecting personal data ethically -- Manicuring the Data -- Dealing with missing data -- Considering data misalignments -- Separating useful data from other data Considering the Five Mistruths in Data -- Commission -- Omission -- Perspective -- Bias -- Frame of reference -- Defining the Limits of Data Acquisition -- Considering Data Security Issues -- Understanding purposefully biased data -- Dealing with data-source corruption -- Cancelling botnets with sinkholing -- Chapter 3 Considering the Use of Algorithms -- Understanding the Role of Algorithms -- Understanding what algorithm means -- Planning and branching: Trees and nodes -- Extending the tree using graph nodes -- Traversing the graph -- Playing adversarial games Using local search and heuristics -- Discovering the Learning Machine -- Leveraging expert systems -- Introducing machine learning -- Touching new heights -- Chapter 4 Pioneering Specialized Hardware -- Relying on Standard Hardware -- Understanding the standard hardware -- Describing standard hardware deficiencies -- Relying on new computational techniques -- Using GPUs -- Considering the von Neumann bottleneck -- Defining the GPU -- Considering why GPUs work well -- Working with Deep Learning Processors (DLPs) -- Defining the DLP -- Using the mobile Neural Processing Unit (NPU) Accessing the cloud-based Tenser Processing Unit (TPU) -- Creating a Specialized Processing Environment -- Increasing Hardware Capabilities -- Adding Specialized Sensors -- Devising Methods to Interact with the Environment -- Part 2 Considering the Uses of AI in Society -- Chapter 5 Seeing AI Uses in Computer Applications -- Introducing Common Application Types -- Using AI in typical applications -- Realizing AI's wide range of fields -- Considering the Chinese Room argument -- Seeing How AI Makes Applications Friendlier -- Performing Corrections Automatically Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4033447-8 |
| title | Artificial intelligence for dummies |
| title_auth | Artificial intelligence for dummies |
| title_exact_search | Artificial intelligence for dummies |
| title_exact_search_txtP | Artificial intelligence for dummies |
| title_full | Artificial intelligence for dummies by John Paul Mueller and Luca Massaron |
| title_fullStr | Artificial intelligence for dummies by John Paul Mueller and Luca Massaron |
| title_full_unstemmed | Artificial intelligence for dummies by John Paul Mueller and Luca Massaron |
| title_short | Artificial intelligence for dummies |
| title_sort | artificial intelligence for dummies |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Künstliche Intelligenz |
| work_keys_str_mv | AT muellerjohnpaul artificialintelligencefordummies AT massaronluca artificialintelligencefordummies |