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Inside AI, Video Edition

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7:23:15

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  • Appendix A Tracing the roots From mechanical calculators to digital dreams.mp4
    27:47
  • Appendix B Algorithms and programming languages.mp4
    03:48
  • Appendix B. Programming languages.mp4
    09:06
  • Chapter 1. Chatbots.mp4
    03:23
  • Chapter 1. Error-prone intelligence.mp4
    03:34
  • Chapter 1. Looking ahead.mp4
    01:02
  • Chapter 1. Summary.mp4
    01:06
  • Chapter 1. The AI revolution.mp4
    05:32
  • Chapter 1. The rise of machine intelligence.mp4
    04:36
  • Chapter 2. AI mastery Essential techniques, Part 1.mp4
    07:48
  • Chapter 2. Case-based reasoning.mp4
    04:21
  • Chapter 2. Expert systems.mp4
    05:35
  • Chapter 2. Fuzzy logic.mp4
    06:26
  • Chapter 2. Genetic algorithms.mp4
    09:38
  • Chapter 2. Summary.mp4
    00:53
  • Chapter 3. AI mastery Essential techniques, Part 2.mp4
    05:24
  • Chapter 3. Artificial neural networks.mp4
    09:34
  • Chapter 3. Bayesian networks.mp4
    05:05
  • Chapter 3. Decision trees for fraud prevention.mp4
    06:35
  • Chapter 3. Deep learning.mp4
    13:04
  • Chapter 3. So, what is artificial intelligence.mp4
    00:33
  • Chapter 3. Summary.mp4
    01:16
  • Chapter 3. Unsupervised learning.mp4
    07:04
  • Chapter 4. Smart agent technology.mp4
    20:26
  • Chapter 4. Summary.mp4
    01:04
  • Chapter 5. AI does not understand.mp4
    06:20
  • Chapter 5. Bard.mp4
    03:36
  • Chapter 5. Benefits of LLMs.mp4
    02:18
  • Chapter 5. ChatGPT.mp4
    13:03
  • Chapter 5. Generative AI and intellectual property.mp4
    01:32
  • Chapter 5. Humans vs. LLMs.mp4
    11:09
  • Chapter 5. LLMs and the Illusion of Understanding.mp4
    03:40
  • Chapter 5. LLM limits.mp4
    01:47
  • Chapter 5. Large language models.mp4
    04:22
  • Chapter 5. Risks of generative AI.mp4
    05:35
  • Chapter 5. Summary.mp4
    01:13
  • Chapter 5. Generative AI and large language models.mp4
    03:16
  • Chapter 6. Human vs. machine.mp4
    31:44
  • Chapter 6. Summary.mp4
    00:49
  • Chapter 6. Human vision vs. computer vision.mp4
    10:18
  • Chapter 7. Lack of generalization.mp4
    03:41
  • Chapter 7. Summary.mp4
    00:29
  • Chapter 7. AI doesn t turn data into intelligence.mp4
    12:14
  • Chapter 8. AI doesn t threaten our jobs.mp4
    28:59
  • Chapter 8. Summary.mp4
    00:23
  • Chapter 9. Merging human with machine.mp4
    06:15
  • Chapter 9. Science fiction vs. reality.mp4
    06:23
  • Chapter 9. Summary.mp4
    00:31
  • Chapter 9. Technological singularity is absurd.mp4
    09:07
  • Chapter 9. The truth about the evolution of robotics.mp4
    10:56
  • Chapter 10. AI failures.mp4
    16:20
  • Chapter 10. AI misuse.mp4
    07:17
  • Chapter 10. AI model lifecycle management.mp4
    08:27
  • Chapter 10. Guiding principles for successful AI projects.mp4
    03:29
  • Chapter 10. How to set your AI project up for success.mp4
    03:06
  • Chapter 10. Learning from successful and failed applications of AI.mp4
    06:08
  • Chapter 10. Summary.mp4
    00:54
  • Chapter 11. AI factory.mp4
    01:37
  • Chapter 11. Adaptability.mp4
    01:12
  • Chapter 11. Analogical reasoning and transferability.mp4
    01:13
  • Chapter 11. Causality inference.mp4
    01:00
  • Chapter 11. Contextual reasoning.mp4
    03:01
  • Chapter 11. Data coherence.mp4
    01:39
  • Chapter 11. Deployability and interoperability.mp4
    00:38
  • Chapter 11. Effective data storage and processing.mp4
    01:15
  • Chapter 11. Elimination of irrelevant attributes.mp4
    01:08
  • Chapter 11. Explicability.mp4
    01:13
  • Chapter 11. Feature engineering.mp4
    01:41
  • Chapter 11. Human machine collaboration.mp4
    00:43
  • Chapter 11. Lack of bias in data and algorithms.mp4
    02:10
  • Chapter 11. Next-generation AI.mp4
    02:13
  • Chapter 11. Personalization.mp4
    01:10
  • Chapter 11. Prediction reliability.mp4
    02:11
  • Chapter 11. Privacy.mp4
    01:25
  • Chapter 11. Quality Assurance.mp4
    01:17
  • Chapter 11. Resilience and robustness.mp4
    01:06
  • Chapter 11. Sampling.mp4
    01:17
  • Chapter 11. Scalability.mp4
    01:12
  • Chapter 11. Security.mp4
    02:20
  • Chapter 11. Summary.mp4
    00:49
  • Chapter 11. Sustainable AI.mp4
    01:48
  • Chapter 11. Technique combination.mp4
    01:50
  • Chapter 11. Temporal reasoning.mp4
    01:39
  • Chapter 11. Traceability and monitoring.mp4
    00:54
  • Chapter 11. Unsupervised learning.mp4
    01:11
  • epilogue.mp4
    03:56
  • foreword.mp4
    04:14
  • preface.mp4
    04:12
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 88
    • duration 7:23:15
    • Release Date 2024/11/03