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)
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)
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