[3-22] Introduction to the Cloud
POLITICIANS AI
[3-22] Introduction to the Cloud
6:18
[3-21] Solving Problems Step by Step
POLITICIANS AI
[3-21] Solving Problems Step by Step
11:17
[3-20] Basic Sorting and Searching
POLITICIANS AI
[3-20] Basic Sorting and Searching
10:10
[3-18] Interactive Webpages with JavaScript
POLITICIANS AI
[3-18] Interactive Webpages with JavaScript
8:36
[3-19] What Is an Algorithm?
POLITICIANS AI
[3-19] What Is an Algorithm?
9:17
[3-17] Styling with CSS
POLITICIANS AI
[3-17] Styling with CSS
8:08
[3-16] Building Blocks of a Web Page (HTML)
POLITICIANS AI
[3-16] Building Blocks of a Web Page (HTML)
8:08
[3-15] Memory and System Resources
POLITICIANS AI
[3-15] Memory and System Resources
8:08
[3-14] Managing Files and Processes
POLITICIANS AI
[3-14] Managing Files and Processes
8:08
[3-13] What Does an Operating System Do?
POLITICIANS AI
[3-13] What Does an Operating System Do?
10:01
[3-12] Secure and Efficient Networking
POLITICIANS AI
[3-12] Secure and Efficient Networking
10:01
【3-11】Network Topologies and Protocols
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【3-11】Network Topologies and Protocols
10:31
[3-10] How the Internet Works
POLITICIANS AI
[3-10] How the Internet Works
8:19
[3-9] The Broader AI Landscape
POLITICIANS AI
[3-9] The Broader AI Landscape
8:19
[3-8] How AI Understands and Generates Language
POLITICIANS AI
[3-8] How AI Understands and Generates Language
11:42
[3-7] What Are Large Language Models?
POLITICIANS AI
[3-7] What Are Large Language Models?
11:42
[3-6] Real-World Applications of Security and Cryptography
POLITICIANS AI
[3-6] Real-World Applications of Security and Cryptography
11:42
[3-27] Monitoring, Evaluation, and Impact Assessment
POLITICIANS AI
[3-27] Monitoring, Evaluation, and Impact Assessment
11:58
[3-26] Strategies for Implementing AI Models in Governance
POLITICIANS AI
[3-26] Strategies for Implementing AI Models in Governance
14:17
[3-24] Error Analysis and Continuous Improvement
POLITICIANS AI
[3-24] Error Analysis and Continuous Improvement
6:56
[3-25] Model Deployment in Public Policy
POLITICIANS AI
[3-25] Model Deployment in Public Policy
11:25
［3-23］Model Validation Using Real-World Comparisons
POLITICIANS AI
［3-23］Model Validation Using Real-World Comparisons
6:02
［3-22］Test Dataset and Data Splitting
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［3-22］Test Dataset and Data Splitting
8:22
[3-21]Performance Metrics
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[3-21]Performance Metrics
11:51
[3-20] Understanding Model Evaluation Basics
POLITICIANS AI
[3-20] Understanding Model Evaluation Basics
3:51
[3-19Hyperparameter Tuning
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[3-19Hyperparameter Tuning
6:44
[3-18]Validating the Model Using a Validation Dataset
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[3-18]Validating the Model Using a Validation Dataset
6:55
[3-17]Training the Model on the Training Dataset
POLITICIANS AI
[3-17]Training the Model on the Training Dataset
6:50
[3-16] Modeling stage and Machine Learning
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[3-16] Modeling stage and Machine Learning
5:26
[3-15] Data into Training and Test Sets
POLITICIANS AI
[3-15] Data into Training and Test Sets
3:58
[3-14]Data Cleaning for addressing missing values, outliers, and incosistent data entries
POLITICIANS AI
[3-14]Data Cleaning for addressing missing values, outliers, and incosistent data entries
4:28
[3-13] Importance of Data Cleaning and Organizing
POLITICIANS AI
[3-13] Importance of Data Cleaning and Organizing
3:58
[2-10] Ethical Considerations in NLP
POLITICIANS AI
[2-10] Ethical Considerations in NLP
4:41
[2-9]NLP in Social Media Analysis
POLITICIANS AI
[2-9]NLP in Social Media Analysis
5:39
[2-8] Summarization Algorithms
POLITICIANS AI
[2-8] Summarization Algorithms
4:47
[2-7] Chatbots and Virtual Assistants
POLITICIANS AI
[2-7] Chatbots and Virtual Assistants
4:25
[2-6] Named Entity Recognition
POLITICIANS AI
[2-6] Named Entity Recognition
5:27
[2-5] Speech Recognition
POLITICIANS AI
[2-5] Speech Recognition
8:52
［3-5］Introduction to Cryptography
POLITICIANS AI
［3-5］Introduction to Cryptography
11:42
［3-4］Fundamentals of Cybersecurity
POLITICIANS AI
［3-4］Fundamentals of Cybersecurity
11:42
［3-28］Ethical, Legal, and Social Considerations
POLITICIANS AI
［3-28］Ethical, Legal, and Social Considerations
12:27
［3-29］Scaling AI Solutions for Sustainable Governance
POLITICIANS AI
［3-29］Scaling AI Solutions for Sustainable Governance
11:26
［3-30］The Role of Feedback in Data Science
POLITICIANS AI
［3-30］The Role of Feedback in Data Science
12:08
［3-31］Collecting and Analyzing Feedback
POLITICIANS AI
［3-31］Collecting and Analyzing Feedback
14:43
Feedback Loops in AI-Driven Policy
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Feedback Loops in AI-Driven Policy
11:14
[3-1]Foundations of Programming
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[3-1]Foundations of Programming
14:49
[3-2]Control Flow and Loops
POLITICIANS AI
[3-2]Control Flow and Loops
8:05
［3-3］Functions and Modular Programing
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［3-3］Functions and Modular Programing
12:13
[2-4]What is Machine Translation(MT)?
POLITICIANS AI
[2-4]What is Machine Translation(MT)?
8:10
[2-3] Sentiment Analysis
POLITICIANS AI
[2-3] Sentiment Analysis
5:51
Introduction to NLP
POLITICIANS AI
Introduction to NLP
10:20
[2-2]Text Preprocessing Techniques
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[2-2]Text Preprocessing Techniques
6:42
[1-4-F] TensorFlow, PyTorch, and Scikit learn
POLITICIANS AI
[1-4-F] TensorFlow, PyTorch, and Scikit learn
5:16
【1-4-E】Introduction to Deep Learning
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【1-4-E】Introduction to Deep Learning
4:38
[3-3] Functions and Modular Programming
POLITICIANS AI
[3-3] Functions and Modular Programming
10:23
[1-4-D]Three Key Types of Neural Networks FNN, CNN, and RNN
POLITICIANS AI
[1-4-D]Three Key Types of Neural Networks FNN, CNN, and RNN
5:59
[1-4-C]How the Outcome is Calculated in an Artificial Neuron
POLITICIANS AI
[1-4-C]How the Outcome is Calculated in an Artificial Neuron
3:21
[1-4-B]Three key layers in Neuron Network
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[1-4-B]Three key layers in Neuron Network
6:07
[3-12]Main purposes of data visualization
POLITICIANS AI
[3-12]Main purposes of data visualization
7:14
[1-4-A]Structure for AI, ML, and Neural Networksple Style
POLITICIANS AI
[1-4-A]Structure for AI, ML, and Neural Networksple Style
4:41
[3-10]Data Requirements for the Project
POLITICIANS AI
[3-10]Data Requirements for the Project
6:50
[1-3-C]Tools for Machine Learning ML
POLITICIANS AI
[1-3-C]Tools for Machine Learning ML
14:28
[1-3-B]Tips for how to measure success and avoid overfitting
POLITICIANS AI
[1-3-B]Tips for how to measure success and avoid overfitting
7:48
[3-8]Selecting Analytical Approaches for the project
POLITICIANS AI
[3-8]Selecting Analytical Approaches for the project
5:17
[3-6]Business Understanding for the Project
POLITICIANS AI
[3-6]Business Understanding for the Project
3:18
[1-3-A]Three types of Machine Learning
POLITICIANS AI
[1-3-A]Three types of Machine Learning
9:01
The Data Collection Stage
POLITICIANS AI
The Data Collection Stage
3:01
[3-5]Business Understanding
POLITICIANS AI
[3-5]Business Understanding
1:40
[3-4]Project :Trial Adoption of AI-Based Buses in a city
POLITICIANS AI
[3-4]Project :Trial Adoption of AI-Based Buses in a city
0:53
[3-3]10 steps in the Data Science Methodology
POLITICIANS AI
[3-3]10 steps in the Data Science Methodology
2:11
[3-2]Fileds where politicians can apply data science and AI
POLITICIANS AI
[3-2]Fileds where politicians can apply data science and AI
1:38
[3-1]The importance of Data Science and AI for politicians
POLITICIANS AI
[3-1]The importance of Data Science and AI for politicians
1:21
Types of AI : Narrow AI and General AI
POLITICIANS AI
Types of AI : Narrow AI and General AI
7:17
History of Artificial Intelligence Evolution and Milestones
POLITICIANS AI
History of Artificial Intelligence Evolution and Milestones
7:30
Data Requrements for the Project
POLITICIANS AI
Data Requrements for the Project
4:21
Introduction to Data Requirements
POLITICIANS AI
Introduction to Data Requirements
2:16
Introduction to the Analytic Approach
POLITICIANS AI
Introduction to the Analytic Approach
3:11