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E-BooksLearning PHP, MySQL & JavaScript, 7th Edition



Learning PHP, MySQL & JavaScript, 7th Edition
Free Download Learning PHP, MySQL & javascript, 7th Edition
English | 2024 | ISBN: 9781098152345 | 154 Pages | EPUB | 5 MB
Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, javascript, CSS, HTML5, jQuery, Node.js, and the powerful React library.



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E-BooksLearning PHP From Beginners to Advanced



Learning PHP From Beginners to Advanced
Free Download Learning PHP: From Beginners to Advanced
by Editorial DVZ

English | 3 Dec. 2023 | ISBN: 8870822575 | ASIN: B0CPH6PX4L | 206 Pages | PDF | 19 MB



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E-BooksLearning Geospatial Analysis with Python (4th Edition)



Learning Geospatial Analysis with Python (4th Edition)
Free Download Learning Geospatial Analysis with Python:
Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

English | 2023 | ISBN: 1837639175 | 666 Pages | EPUB (True) | 38 MB



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E-BooksLearning Core Audio A Hands–On Guide to Audio Programming for Mac and iOS



Learning Core Audio A Hands–On Guide to Audio Programming for Mac and iOS
Free Download Kevin Avila, "Learning Core Audio: A Hands-On Guide to Audio Programming for Mac and iOS"
English | 2012 | pages: 336 | ISBN: 0321636848 | PDF | 12,5 mb
Audio can affect the human brain in the most powerful and profound ways. Using Apple's Core Audio, you can leverage all that power in your own Mac and iOS software, implementing features ranging from audio capture to real-time effects, MP3 playback to virtual instruments, web radio to VoIP support. The most sophisticated audio programming system ever created, Core Audio is not simple. In Learning Core Audio, top Mac programming author Chris Adamson and legendary Core Audio expert Kevin Avila fully explain this challenging framework, enabling experienced Mac or iOS programmers to make the most of it. In plain language, Adamson and Avila explain what Core Audio can do, how it works, and how it builds on the natural phenomena of sound and the human language of audio. Next, using crystal-clear code examples, they guide you through recording, playback, format conversion, Audio Units, 3D audio MIDI connectivity, and overcoming unique challenges of Core Audio programming for iOS. Coverage includes: mastering Core Audio's surprising style and conventions; recording and playback with Audio Queue; synthesizing audio; perform effects on audio streams; capturing from the mic; mixing multiple streams; managing file streams; converting formats; creating 3D positional audio; using Core MIDI on the Mac; leveraging your Cocoa and Objective-C expertise in Core Audio's C-based environment, and much more. When you've mastered the "black arts" of Core Audio, you can do some serious magic. This book will transform you from an acolyte into a true Core Audio wizard.



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E-BooksLearning Android App Development



Learning Android App Development
Free Download Learning Android App Development: A Beginner's Guide
by Ous Ak

English | 2 Dec. 2023 | ISBN: N/A | ASIN: B0CPD58HY2 | 78 Pages | PNG | 7 MB



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E-BooksLeading Learning from Life and My Years at Manchester United



Leading Learning from Life and My Years at Manchester United
Free Download Leading: Learning from Life and My Years at Manchester United
by Alex Ferguson, Michael Moritz

English | October 6, 2015 | ISBN: 1473621658 | 372 pages | PDF | 2.68 Mb



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E-BooksInformation–Driven Machine Learning



Information–Driven Machine Learning
Free Download Information-Driven Machine Learning: Data Science as an Engineering Discipline
English | 2024 | ISBN: 3031394763 | 487 Pages | PDF EPUB (True) | 17 MB
Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the 'black box' approach of machine learning by reducing conjectures such as magic numbers (hyper-parameters) or model-type bias. Information-based machine learning enables data quality measurements, a priori task complexity estimations, and reproducible design of data science experiments. The benefits include significant size reduction, increased explainability, and enhanced resilience of models, all contributing to advancing the discipline's robustness and credibility.



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E-BooksFormative Design in Learning Design Thinking, Growth Mindset and Community



Formative Design in Learning Design Thinking, Growth Mindset and Community
Free Download Formative Design in Learning: Design Thinking, Growth Mindset and Community
English | 2023 | ISBN: 3031419499 | 535 Pages | PDF EPUB (True) | 31 MB
Learning design is an ill-structured process that must account for multiple stakeholders, contextual constraints, and other instructional needs. Whereas many theories outline learning theories, less is known about the formative design process and how it impacts the design and development of learning technologies. This is critical because a formative view considers the issues that educators encounter and how to overcome them during the learning design process.



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E-BooksDistributed Machine Learning with PySpark



Distributed Machine Learning with PySpark
Free Download Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn
English | 2023 | ISBN: 1484297504 | 500 Pages | PDF EPUB (True) | 4 MB
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.



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E-BooksDirty Data Processing for Machine Learning



Dirty Data Processing for Machine Learning
Free Download Dirty Data Processing for Machine Learning
English | 2024 | ISBN: 9819976561 | 217 Pages | PDF EPUB (True) | 21 MB
In both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as "dirty data." Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing.



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