Free Download Mining Very Large Databases with Parallel Processing by Alex A. Freitas , Simon H. Lavington
English | PDF (True) | 2000 | 211 Pages | ISBN : 0792380487 | 19.6 MB
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms.

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by Eleonora Natale
English | 2024 | ISBN: 3031750594 | 256 Pages | True PDF | 2.16 MB

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English | 2025 | ASIN : B0F4C1B2HC | 320 Pages | PDF | 39 MB
The book starts by exploring Microsoft Project features and setting up your Project profile. You will then learn how to manage tasks and resources in Microsoft Project. Further, you will demonstrate scheduling and timelines followed by deep dive into budgeting and cost management of project. Moving forward, you will understand Microsoft Project's integration with M365 and learn Agile Project Management techniques. In the end, you will learn the advanced features and future trends in Microsoft Project along with expert tips for efficiency.

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English | 2026 | ISBN: 1032568550 | 162 Pages | PDF EPUB (True) | 12 MB
Today the integration of technologies like Machine Learning (ML) and Deep Learning (DL) are enabling us to understand, predict, and manage the rising mental health concerns better. This volume provides a comprehensive roadmap for researchers, practitioners, and enthusiasts to explore how artificial intelligence can revolutionize mental healthcare. The book delves into the cutting-edge innovations in predictive modeling, offering insights into how ML and DL algorithms can analyze complex psychological data, detect early warning signs, and predict mental health outcomes. Designed for a diverse audience, including data scientists, mental health professionals, and students, it combines technical rigor with real-world applications. With case studies, hands-on examples, and future-forward discussions, this book empowers readers to contribute to the next wave of mental health solutions powered by AI.

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English | PDF (True) | 2001 | 220 Pages | ISBN : 3540418598 | 14.3 MB
Vibration and noise reduce the perceived quality, productivity, and efficiency of many and limit production speeds electromechanical systems. Vibration can cause defects during manufacturing and produce premature failure of finished products due to fa tigue. Potential contact with a vibrating system or hearing darnage from a noisy machine can produce a dangerous, unhealthy, and uncomfortable operating environ ment. Recent advances in computer technology have allowed the development of so phisticated electromechanical systems for the control of vibration and noise. The demanding specifications of many modern systems require higher performance than possible with the traditional, purely mechanical approaches of increasing system stiff ness or damping. Mechatronic systems that integrate computer software and hard ware with electromechanical sensors and actuators to control complex mechanical systems have been demonstrated to provide outstanding vibration and noise reduc tion. The current trends toward higher speed computation and lower cost, higher performance sensors and actuators indicate the continuing possibilities for this con trol approach in future applications.

Free Download Mechanics Using Python: An Introductory Guide
English | 2025 | ASIN: B0DXWFYSG8 | 246 Pages | EPUB (True) | 9.79 MB
"Mechanics Using Python: An Introductory Guide" offers a dynamic and immersive exploration of classical mechanics, tailored specifically for undergraduate students. We bridge fundamental physics principles with the practical application of Python programming, providing a unique learning experience for those eager to understand mechanics through computational methods.

Free Download Measurements in Musculoskeletal Radiology by Victor N. Cassar-Pullicino
English | EPUB | 2020 | 861 Pages | ISBN : 354043853X | 150.22 MB
This practical and comprehensive book provides succinct and up-to-date information on the value of the various diagnostic radiological measurements made using all the imaging modalities currently employed in the management of a wide spectrum of musculoskeletal disorders, including developmental, paediatric, traumatic, degenerative, metabolic, tumoural and rheumatological conditions. The book has a unique design, with three distinct but dove-tailed sections.

Free Download Mathematical Algorithms for the day before your coding interview (Day before Coding Interview [DCI]: CODING INTERVIEW PATTERNS Book 10)
English | 2020 | ASIN: B089G56R5H | 50 pages | PDF | 899.46 KB
Mathematical Algorithms are fundamentally important as several real-life problems can be modeled as a Mathematical problem. Solving such problems require mathematical insights.

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English | 2024 | ASIN: B0D98BR1T7 | 766 pages | EPUB (True) | 13.84 MB
Harness the full power of the Git version control system, gaining insights into Git best practices and strengthening your understanding of its architecture, underlying concepts, and behavior

Free Download Mastering ChatGPT and Google Colab for Machine Learning
English | 2024 | ASIN: B0DHNFS35P | 441 pages | EPUB (True) | 257 MB
KEY FEATURES ● Step-by-step progression from foundational machine learning concepts to advanced techniques using ChatGPT and Google Colab. ● Clear and detailed instructions for data preparation, model training, and evaluation, simplifying complex machine learning tasks. ● Extensive use of Google Colab for coding and experimentation, providing a real-world platform to apply learned techniques effectively. WHAT WILL YOU LEARN ● Learn to integrate and optimize ChatGPT and Google Colab for enhanced data science tasks. ● Master techniques for preparing and cleaning data for analysis. ● Gain a solid grasp of statistical concepts essential for data science. ● Learn the processes for training, evaluating, and refining machine learning models. ● Perform data analysis and preprocessing using natural language processing techniques. ● Customize and deploy GPT models for specific data science applications. TABLE OF CONTENTS 1. Introduction to ChatGPT 2. ChatGPT for Data Science and Machine Learning 3. Fundamentals of Statistics for Data Science 4. Missing Values and Outliers 5. Relation Between Variables and Charts 6. Data Preparation 7. Training and Evaluation 8. Fine Tuning, Features Selection, and Final Model 9. Data Preparation and Training 10. Fine Tuning and Final Model 11. Data Analysis and Dataset Manipulation (NLP) 12. Sentiment Analysis and Predictions 13. ChatGPT-4 for a Completely Automated Data Science Workload 14. Customizing GPT for Applications 15. Takeaways and Conclusions Index