Introduction to Artificial Intelligence (2023)

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1:35:05

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01. Introduction

001. Why you need to know about artificial intelligence.mp4

01:03

02. What Is Artificial Intelligence

002. Define general intelligence.mp4

03:13

003. The general problem-solver.mp4

03:07

004. Strong vs. weak AI.mp4

03:01

03. The Rise of Machine Learning

005. Machine learning.mp4

03:20

006. Artificial neural networks.mp4

03:05

04. Common AI Systems

007. Searching for patterns in data.mp4

03:35

008. Robotics.mp4

03:19

009. Natural language processing.mp4

03:26

010. The Internet of Things.mp4

03:18

05. Learn from Data

011. Labeled and unlabeled data.mp4

03:07

012. Massive datasets.mp4

03:40

06. Identify Patterns

013. Classify data.mp4

03:22

014. Cluster data.mp4

03:24

015. Reinforcement learning.mp4

03:09

07. Machine Learning Algorithms

016. Common algorithms.mp4

03:19

017. K-nearest neighbor.mp4

03:19

018. K-means clustering.mp4

03:31

019. Regression.mp4

03:25

020. Naive Bayes.mp4

03:29

08. Fit the Algorithm

021. Select the best algorithm.mp4

03:21

022. Follow the data.mp4

03:01

023. Overfitting and underfitting.mp4

03:19

09. Artificial Neural Networks

024. Build a neural network.mp4

03:22

025. Weighing the connections.mp4

03:03

026. The activation bias.mp4

03:02

10. Improve Accuracy

027. Learning from mistakes.mp4

03:23

028. Step through the network.mp4

03:46

11. Where to Go from Here

029. Using AI systems.mp4

03:14

030. Applying AI to solve problems.mp4

01:22

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Artificial Intelligence

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