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1.35 GB | 00:31:44 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
Appendix A Tracing the roots From mechanical calculators to digital dreams  (85.26 MB)
Appendix B  Programming languages  (24.94 MB)
Appendix B Algorithms and programming languages  (10.24 MB)
Chapter 1  Chatbots  (7.44 MB)
Chapter 1  Error-prone intelligence  (9.66 MB)
Chapter 1  Looking ahead  (2.63 MB)
Chapter 1  Summary  (3.89 MB)
Chapter 1  The AI revolution  (16.9 MB)
Chapter 1  The rise of machine intelligence  (12.37 MB)
Chapter 10  AI failures  (51.76 MB)
Chapter 10  AI misuse  (26.64 MB)
Chapter 10  AI model lifecycle management  (23.14 MB)
Chapter 10  Guiding principles for successful AI projects  (11.43 MB)
Chapter 10  How to set your AI project up for success  (8.21 MB)
Chapter 10  Learning from successful and failed applications of AI  (22.16 MB)
Chapter 10  Summary  (3.38 MB)
Chapter 11  Adaptability  (3.57 MB)
Chapter 11  AI factory  (5.12 MB)
Chapter 11  Analogical reasoning and transferability  (4.18 MB)
Chapter 11  Causality inference  (2.77 MB)
Chapter 11  Contextual reasoning  (8.48 MB)
Chapter 11  Data coherence  (5.72 MB)
Chapter 11  Deployability and interoperability  (1.89 MB)
Chapter 11  Effective data storage and processing  (3.89 MB)
Chapter 11  Elimination of irrelevant attributes  (3.36 MB)
Chapter 11  Explicability  (3.92 MB)
Chapter 11  Feature engineering  (5.57 MB)
Chapter 11  Human machine collaboration  (2.2 MB)
Chapter 11  Lack of bias in data and algorithms  (7.49 MB)
Chapter 11  Next-generation AI  (6.51 MB)
Chapter 11  Personalization  (3.8 MB)
Chapter 11  Prediction reliability  (6.21 MB)
Chapter 11  Privacy  (4.72 MB)
Chapter 11  Quality Assurance  (4.14 MB)
Chapter 11  Resilience and robustness  (3.64 MB)
Chapter 11  Sampling  (4.06 MB)
Chapter 11  Scalability  (4.01 MB)
Chapter 11  Security  (7.67 MB)
Chapter 11  Summary  (2.84 MB)
Chapter 11  Sustainable AI  (4.95 MB)
Chapter 11  Technique combination  (6.82 MB)
Chapter 11  Temporal reasoning  (5.69 MB)
Chapter 11  Traceability and monitoring  (2.53 MB)
Chapter 11  Unsupervised learning  (3.07 MB)
Chapter 2  AI mastery Essential techniques, Part 1  (22.59 MB)
Chapter 2  Case-based reasoning  (14.96 MB)
Chapter 2  Expert systems  (17.37 MB)
Chapter 2  Fuzzy logic  (20.47 MB)
Chapter 2  Genetic algorithms  (29.7 MB)
Chapter 2  Summary  (3.27 MB)
Chapter 3  AI mastery Essential techniques, Part 2  (18.11 MB)
Chapter 3  Artificial neural networks  (30.47 MB)
Chapter 3  Bayesian networks  (16.02 MB)
Chapter 3  Decision trees for fraud prevention  (21.31 MB)
Chapter 3  Deep learning  (38.92 MB)
Chapter 3  So, what is artificial intelligence  (1.1 MB)
Chapter 3  Summary  (5.16 MB)
Chapter 3  Unsupervised learning  (24.43 MB)
Chapter 4  Smart agent technology  (62.98 MB)
Chapter 4  Summary  (2.81 MB)
Chapter 5  AI does not understand  (19.73 MB)
Chapter 5  Bard  (9.28 MB)
Chapter 5  Benefits of LLMs  (7.3 MB)
Chapter 5  ChatGPT  (45.36 MB)
Chapter 5  Generative AI and intellectual property  (3.88 MB)
Chapter 5  Humans vs  LLMs  (41.76 MB)
Chapter 5  Large language models  (16.03 MB)
Chapter 5  LLMs and the Illusion of Understanding  (12.89 MB)
Chapter 5  LLM limits  (6.12 MB)
Chapter 5  Risks of generative AI  (18.23 MB)
Chapter 5  Summary  (4.16 MB)
Chapter 5   Generative AI and large language models  (10 MB)
Chapter 6  Human vs  machine  (87.9 MB)
Chapter 6  Summary  (2.9 MB)
Chapter 6   Human vision vs  computer vision  (33.04 MB)
Chapter 7  Lack of generalization  (12.73 MB)
Chapter 7  Summary  (1.22 MB)
Chapter 7   AI doesn t turn data into intelligence  (42.82 MB)
Chapter 8  AI doesn t threaten our jobs  (85.59 MB)
Chapter 8  Summary  (902.4 KB)
Chapter 9  Merging human with machine  (21.09 MB)
Chapter 9  Science fiction vs  reality  (18.55 MB)
Chapter 9  Summary  (1.36 MB)
Chapter 9  Technological singularity is absurd  (31.6 MB)
Chapter 9  The truth about the evolution of robotics  (37.43 MB)
epilogue  (10.83 MB)
foreword  (13.23 MB)
preface  (13.05 MB)