Artificial Intelligence for Financial Freedom: A Step-by-Step Beginners Guide to Making $100,000 a Month with A.I. by Jarred Davis
English | 2022 | ISBN: N/A | ASIN: B0BRC2RMDN | 103 pages | MOBI | 0.17 Mb
Are you ready to take your financial freedom to the next level? With "Intelligence for Financial Freedom: A Step-by-Step Guide to Making $100,000 a Month with A.I.", you can unlock the power of artificial intelligence to make more money than you ever thought possible. This book provides a comprehensive guide to using A.I. to generate passive income and build wealth. From understanding the basics of A.I. to creating a profitable trading system, this book will teach you the skills you need to become a successful investor. With this book, you can learn how to use A.I. to make $100,000 a month and achieve financial freedom. Don't wait any longer - start your journey to financial freedom today!

Leszek Rutkowski, "Artificial Intelligence and Soft Computing: 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 20"
English | ISBN: 3031234790 | 2023 | 419 pages | PDF | 38 MB
The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19-23, 2022.

Ilias Maglogiannis, "Artificial Intelligence Applications and Innovations: 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos"
English | ISBN: 3031083369 | 2022 | 535 pages | PDF | 32 MB
This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022).

Published 1/2023
Created by Data Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 57 Lectures ( 4h 23m ) | Size: 1.55 GB

Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.69 GB | Duration: 8h 35m

Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 367.60 MB | Duration: 0h 46m

Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies
English | 2023 | ISBN: 1484291611 | 183 pages | PDF,EPUB | 4.86 MB
This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies.

Beckers A Three Liability Regimes for Artificial Intelligence 2022 | 14.33 MB
English | 201 Pages

Title: Three Liability Regimes for Artificial Intelligence: Algorithmic Actants, Hybrids, Crowds
Author: Anna Beckers
Year: 2021

Elias Pimenidis, "Artificial Neural Networks and Machine Learning - ICANN 2022: 31st International Conference on Artificial Neural Network"
English | ISBN: 3031159365 | 2022 | 817 pages | PDF | 81 MB
The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022.

Artificial Intelligence and Precision Oncology: Bridging Cancer Research and Clinical Decision Support
English | 2023 | ISBN: 3031215052 | 550 Pages | PDF EPUB (True) | 37 MB
Chapter 1. Introduction: The Application of AI in Precision Oncology: Tailoring Diagnosis, Treatment, and the Monitoring of Disease Progression to the Patient.- Part I. Artificial Intelligence for Screening, Diagnosis, Monitoring in Precision Oncology.- Chapter 2. Application of AI in Novel Biomarkers Detection that Induce Drug Resistance, Enhance Treatment Regimens and Advancing Precision Oncology.- Chapter 3. Use of Artificial Intelligence in Implementing Mainstream Precision Medicine to Improve Traditional Symptom-driven Practice of Medicine: Allowing Early Interventions and Tailoring better-personalized Cancer Treatments.- Chapter 4. AI as a Novel Approach for Exploring ccfNAs in Personalized Clinical Diagnosis and Prognosis: Providing Insight into the Decision-Making in Precision Oncology.- Chapter 5. AI-Enhanced Digital Pathology and Radiogenomics in Precision Oncology.- Part II. Artificial Intelligence and Omics in Precision Oncology.- Chapter 6. Epigenetics Analysis Using Artificial Intelligence in the Era of Precision Oncology.- Chapter 7. Association of Metabolomics with AI in Precision Oncology: Emerging Perspectives for More Effective Cancer Care.- Chapter 8. Artificial Intelligence Application to Microbiomics Data for Improved Clinical Decision Making in Precision Oncology.- Part III. Artificial Intelligence in Cancer Therapy and the Clinical Applications.- Chapter 9. AI and Nanotechnology in Realizing the Goal of Precision Medicine: Tailoring the Best Treatment for Personalized Cancer Treatment.-Chapter 10. Artificial Intelligence-Based Medical Devices Revolution in Cancer Screening: Impact into Clinical Practice.- Chapter 11. Intelligent Drug Design and Use for Cancer Treatment: The Roles of AI and Precision Oncology in Targeting Patient-Specific Splicing Profiles.- Chapter 12. Applying Artificial Intelligence Prediction Tools for Advancing Precision Oncology in Immunotherapy: Future Perspectives in Personalized Care.- Chapter 13. Employing AI-Powered Decision Support Systems in Recommending the Most Effective Therapeutic Approaches for Individual Cancer Patients: Maximizing Therapeutic Efficacy.- Chapter 14. AI-Pathway Companion in Clinical Decision Support: Enabling Personalized and Standardized Care Along Care Pathways in Oncology.- Chapter 15. AI Tools Offering Cancer Clinical Applications for Risk Predictor, Early Detection, Diagnosis, and Accurate Prognosis: Perspectives in Personalised Care.- Chapter 16. Conclusion and Insights into the Future of AI in Precision Oncology.