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E-BooksProceedings of the International Conference on Applied Cybersecurity (ACS) 2023



Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023
Free Download Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023
English | 2023 | ISBN: 3031405978 | 116 Pages | PDF EPUB (True) | 5 MB
This book presents the proceedings of the International Conference on Applied Cyber Security 2023 (ACS23), held in Dubai on the April 29, containing seven original contributions. Cybersecurity is continuously attracting the world's attention and has gained in awareness and media coverage in the last decade. Not a single week passes without a major security incident that affects a company, sector, or governmental agencies. Most of the contributions are about applications of machine learning to accomplish several cybersecurity tasks, such as malware, network intrusion, and spam email detection. Similar trends of increasing AI applications are consistent with the current research and market trends in cybersecurity and other fields. We divided this book into two parts; the first is focused on malicious activity detection using AI, whereas the second groups AI applications to tackle a selection of cybersecurity problems.



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E-BooksNumerical C Applied Computational Programming with Case Studies



Numerical C Applied Computational Programming with Case Studies
Free Download Numerical C: Applied Computational Programming with Case Studies by Philip Joyce
English | September 21, 2020 | ISBN: 148425063X | 326 pages | MOBI | 8.37 Mb
Learn applied numerical computing using the C programming language, starting with a quick primer on the C programming language and its SDK. This book then dives into progressively more complex applied math formula for computational methods using C with examples throughout and a larger, more complete application towards the end.



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E-BooksApplied Supervised Learning with Python



Applied Supervised Learning with Python
Free Download Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning by Benjamin Johnston, Ishita Mathur
English | April 27, 2019 | ISBN: 1789954924 | 404 pages | MOBI | 17 Mb
Explore the exciting world of machine learning with the fastest growing technology in the world



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E-BooksApplied Mathematics for Scientists and Engineers



Applied Mathematics for Scientists and Engineers
Free Download Applied Mathematics for Scientists and Engineers
English | 2024 | ISBN: 103258257X | 442 Pages | PDF (True) | 4.2 MB
After many years of teaching graduate courses in applied mathematics, Youssef N. Raffoul saw a need among his students for a book reviewing topics from undergraduate courses to help them recall what they had learned, while his students urged him to publish a brief and approachable book on the topic. Thus, the author used his lecture notes from his graduate course in applied mathematical methods, which comprises three chapters on linear algebra, calculus of variations, and integral equations, to serve as the foundation for this work. These notes have undergone continuous revision.



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E-BooksApplied Machine Learning Solutions with Python



Applied Machine Learning Solutions with Python
Free Download Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition) by Siddhanta Bhatta
English | September 1, 2021 | ISBN: 9391030432 | 356 pages | MOBI | 7.29 Mb
A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts.



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E-BooksApplied Machine Learning Explainability Techniques



Applied Machine Learning Explainability Techniques
Free Download Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more by Aditya Bhattacharya
English | July 29, 2022 | ISBN: 1803246154 | 306 pages | MOBI | 13 Mb
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems



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E-BooksApplied Embedded Electronics (Sixth Release)



Applied Embedded Electronics (Sixth Release)
Free Download Applied Embedded Electronics (Sixth Release)
English | 2024 | ISBN: 9781098144784 | 346 Pages | MOBI EPUB (True) | 69 MB
Embedded controller electronics are at the heart of virtually all modern electronic devices today with a market of more than $86 billion per year and growing. To serve the needs of designers creating products for this huge market, this practical book covers topics crucial for modern electronics design.



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E-BooksApplied Deep Learning Design and implement your own Neural Networks to solve real–world problems (English Edition)



Applied Deep Learning Design and implement your own Neural Networks to solve real–world problems (English Edition)
Free Download Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems (English Edition) by Dr. Rajkumar Tekchandani, Dr. Neeraj Kumar
English | April 29, 2023 | ISBN: 9355513720 | 624 pages | MOBI | 140 Mb
A comprehensive guide to Deep Learning for Beginners



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E-BooksApplied Artificial Intelligence A Biomedical Perspective



Applied Artificial Intelligence A Biomedical Perspective
Free Download Applied Artificial Intelligence: A Biomedical Perspective
English | 2024 | ISBN: 103234914X | 411 Pages | PDF (True) | 20 MB
This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems, and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems.



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Video TrainingHands–On Data Annotation – Applied Machine Learning



Hands–On Data Annotation – Applied Machine Learning
Free Download Hands–On Data Annotation – Applied Machine Learning
Released 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 3h 51m | Size: 535 MB
Are you curious how data powers machine learning and data science? In this course, Wuraola Oyewusi dives into the intricacies of data annotation for machine learning and shows how data is prepared and used for training of machine learning models. Wuraola starts with a big-picture look at the principles, types, and importance of data annotation in machine learning pipelines. She then dives into hands-on use cases for data annotation in natural language processing, computer vision, and general data science using different tools. Other topics include using both open-source and proprietary tools such for data notation, as well as labeling data on major cloud platforms like AWS, Azure, and GCP.



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