[ TutGator.com ] Linkedin - Introduction to Artificial Intelligence (2023)

磁力链接/BT种子名称

[ TutGator.com ] Linkedin - Introduction to Artificial Intelligence (2023)

磁力链接/BT种子简介

种子哈希：5a8870b062cf26066e8422264fc8e61d35a2a04f
文件大小： 1.12G
已经下载：4514次
下载速度：极快
收录时间：2023-12-18
最近下载：2025-08-29

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文件列表

  • ~Get Your Files Here !/10. Improve Accuracy/028. Step through the network.mp4 47.7 MB
  • ~Get Your Files Here !/05. Learn from Data/012. Massive datasets.mp4 46.4 MB
  • ~Get Your Files Here !/04. Common AI Systems/007. Searching for patterns in data.mp4 45.3 MB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/018. K-means clustering.mp4 44.5 MB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/020. Naive Bayes.mp4 44.2 MB
  • ~Get Your Files Here !/04. Common AI Systems/009. Natural language processing.mp4 43.4 MB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/019. Regression.mp4 43.3 MB
  • ~Get Your Files Here !/06. Identify Patterns/014. Cluster data.mp4 43.2 MB
  • ~Get Your Files Here !/10. Improve Accuracy/027. Learning from mistakes.mp4 42.8 MB
  • ~Get Your Files Here !/09. Artificial Neural Networks/024. Build a neural network.mp4 42.6 MB
  • ~Get Your Files Here !/06. Identify Patterns/013. Classify data.mp4 42.6 MB
  • ~Get Your Files Here !/08. Fit the Algorithm/021. Select the best algorithm.mp4 42.4 MB
  • ~Get Your Files Here !/03. The Rise of Machine Learning/005. Machine learning.mp4 42.2 MB
  • ~Get Your Files Here !/08. Fit the Algorithm/023. Overfitting and underfitting.mp4 42.1 MB
  • ~Get Your Files Here !/04. Common AI Systems/008. Robotics.mp4 42.0 MB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/017. K-nearest neighbor.mp4 42.0 MB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/016. Common algorithms.mp4 42.0 MB
  • ~Get Your Files Here !/04. Common AI Systems/010. The Internet of Things.mp4 41.9 MB
  • ~Get Your Files Here !/11. Where to Go from Here/029. Using AI systems.mp4 41.1 MB
  • ~Get Your Files Here !/02. What Is Artificial Intelligence/002. Define general intelligence.mp4 40.8 MB
  • ~Get Your Files Here !/06. Identify Patterns/015. Reinforcement learning.mp4 39.9 MB
  • ~Get Your Files Here !/05. Learn from Data/011. Labeled and unlabeled data.mp4 39.6 MB
  • ~Get Your Files Here !/02. What Is Artificial Intelligence/003. The general problem-solver.mp4 39.5 MB
  • ~Get Your Files Here !/03. The Rise of Machine Learning/006. Artificial neural networks.mp4 39.2 MB
  • ~Get Your Files Here !/09. Artificial Neural Networks/025. Weighing the connections.mp4 38.7 MB
  • ~Get Your Files Here !/09. Artificial Neural Networks/026. The activation bias.mp4 38.5 MB
  • ~Get Your Files Here !/02. What Is Artificial Intelligence/004. Strong vs. weak AI.mp4 38.3 MB
  • ~Get Your Files Here !/08. Fit the Algorithm/022. Follow the data.mp4 38.3 MB
  • ~Get Your Files Here !/11. Where to Go from Here/030. Applying AI to solve problems.mp4 17.8 MB
  • ~Get Your Files Here !/01. Introduction/001. Why you need to know about artificial intelligence.mp4 13.8 MB
  • ~Get Your Files Here !/05. Learn from Data/012. Massive datasets.en.srt 6.6 kB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/018. K-means clustering.en.srt 6.5 kB
  • ~Get Your Files Here !/10. Improve Accuracy/028. Step through the network.en.srt 6.4 kB
  • ~Get Your Files Here !/06. Identify Patterns/014. Cluster data.en.srt 6.3 kB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/019. Regression.en.srt 6.3 kB
  • ~Get Your Files Here !/04. Common AI Systems/009. Natural language processing.en.srt 6.2 kB
  • ~Get Your Files Here !/04. Common AI Systems/007. Searching for patterns in data.en.srt 6.2 kB
  • ~Get Your Files Here !/08. Fit the Algorithm/021. Select the best algorithm.en.srt 6.1 kB
  • ~Get Your Files Here !/04. Common AI Systems/008. Robotics.en.srt 6.0 kB
  • ~Get Your Files Here !/06. Identify Patterns/013. Classify data.en.srt 6.0 kB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/016. Common algorithms.en.srt 5.9 kB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/017. K-nearest neighbor.en.srt 5.9 kB
  • ~Get Your Files Here !/07. Machine Learning Algorithms/020. Naive Bayes.en.srt 5.9 kB
  • ~Get Your Files Here !/04. Common AI Systems/010. The Internet of Things.en.srt 5.8 kB
  • ~Get Your Files Here !/03. The Rise of Machine Learning/005. Machine learning.en.srt 5.8 kB
  • ~Get Your Files Here !/05. Learn from Data/011. Labeled and unlabeled data.en.srt 5.7 kB
  • ~Get Your Files Here !/02. What Is Artificial Intelligence/003. The general problem-solver.en.srt 5.7 kB
  • ~Get Your Files Here !/02. What Is Artificial Intelligence/002. Define general intelligence.en.srt 5.7 kB
  • ~Get Your Files Here !/09. Artificial Neural Networks/024. Build a neural network.en.srt 5.6 kB
  • ~Get Your Files Here !/08. Fit the Algorithm/023. Overfitting and underfitting.en.srt 5.6 kB
  • ~Get Your Files Here !/06. Identify Patterns/015. Reinforcement learning.en.srt 5.6 kB
  • ~Get Your Files Here !/03. The Rise of Machine Learning/006. Artificial neural networks.en.srt 5.6 kB
  • ~Get Your Files Here !/10. Improve Accuracy/027. Learning from mistakes.en.srt 5.6 kB
  • ~Get Your Files Here !/11. Where to Go from Here/029. Using AI systems.en.srt 5.6 kB
  • ~Get Your Files Here !/02. What Is Artificial Intelligence/004. Strong vs. weak AI.en.srt 5.5 kB
  • ~Get Your Files Here !/09. Artificial Neural Networks/026. The activation bias.en.srt 5.4 kB
  • ~Get Your Files Here !/09. Artificial Neural Networks/025. Weighing the connections.en.srt 5.4 kB
  • ~Get Your Files Here !/08. Fit the Algorithm/022. Follow the data.en.srt 5.4 kB
  • ~Get Your Files Here !/11. Where to Go from Here/030. Applying AI to solve problems.en.srt 2.6 kB
  • ~Get Your Files Here !/01. Introduction/001. Why you need to know about artificial intelligence.en.srt 1.8 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 178 Bytes

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！