Tag: Machine

Pattern Recognition and Machine Intelligence First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005


Free Download Pattern Recognition and Machine Intelligence: First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005. Proceedings By Anil K. Jain, Martin H. C. Law (auth.), Sankar K. Pal, Sanghamitra Bandyopadhyay, Sambhunath Biswas (eds.)
2005 | 808 Pages | ISBN: 3540305068 | PDF | 13 MB
This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005.The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.

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Artificial Intelligence and Machine Learning Applications for Sustainable Development


Free Download Artificial Intelligence and Machine Learning Applications for Sustainable Development
English | 2025 | ISBN: 1032742143 | 370 Pages | PDF EPUB (True) | 17 MB
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.

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AWS Certified Machine Learning Engineer – Associate (MLA-C01) Exam Prep


Free Download AWS Certified Machine Learning Engineer – Associate (MLA-C01) Exam Prep: 400 Practice Questions and Answers for Certification Success by James Howlett
English | September 11, 2024 | ISBN: N/A | ASIN: B0DGRGQ8LX | 131 pages | EPUB | 0.14 Mb
Are you ready to pass the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam and elevate your career in the world of AI and machine learning?

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AWS Certified Machine Learning – Specialty (MLS-C01) Exam Prep


Free Download AWS Certified Machine Learning – Specialty (MLS-C01) Exam Prep: 400 Practice Questions and Answers Across All Key Domains by James Howlett
English | September 11, 2024 | ISBN: N/A | ASIN: B0DGRW8QTM | 129 pages | EPUB | 0.14 Mb
Are you ready to take your career in machine learning to the next level by acing the AWS Certified Machine Learning – Specialty (MLS-C01) exam? This comprehensive guide is your ultimate resource for mastering the exam with confidence and precision.

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Foundations of AI and Machine Learning for Java Developers

Free Download Foundations of AI and Machine Learning for Java Developers

Released: 12/2024
Duration: 1h 35m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 182 MB
Level: Intermediate | Genre: eLearning | Language: English
In this course, explore the exciting world of artificial intelligence (AI) and machine learning (ML) from a Java developer’s perspective. Start with the essential principles of AI/ML and why patterns are so important. Learn how to differentiate between AI, ML, and deep learning, and clearly understand predictive AI versus generative AI. Join instructor Frank Greco to build a solid foundation on how to use ML in your software development projects and processes effectively.

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Quantum Machine Learning


Free Download Quantum Machine Learning by S Karthikeyan, M Akila, D. Sumathi
English | October 28, 2024 | ISBN: 1032544716 | 300 pages | MOBI | 11 Mb
This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies.

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