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Mark J. Price

Mark J. Price is a Microsoft Specialist: Programming in C# and Architecting Microsoft Azure Solutions, with over 20 years of experience. Since 1993, he has passed more than 80 Microsoft programming exams and specializes in preparing others to pass them. Between 2001 and 2003, Mark was employed to write official courseware for Microsoft in Redmond, USA. His team wrote the first training courses for C# while it was still an early alpha version. While with Microsoft, he taught “train-the-trainer” classes to get Microsoft Certified Trainers up-to-speed on C# and .NET. Mark has spent most of his career training a wide variety of students, from 16-year-old apprentices to 70-year-old retirees, with the majority being professional developers. Mark holds a BSc in Computer Science.

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C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals

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Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.

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Generative AI with LangChain

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Imran Ahmad

Imran Ahmad is the author of the 50 Algorithms every programmer should know. He has been a part of cutting edge research about algorithms and machine learning for many years. He completed his PhD in 2010, in which he proposed a new linear programming based algorithm that can be used to optimally assign resources in a large scale cloud computing environment. In 2017, Imran developed a real time analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various machine learning algorithms. Imran is currently working at Advanced Analytics Solution Center A2SC at the Canadian Federal Government as a data scientist. He is using machine learning algorithms for critical use cases. Imran is a visiting professor at Carleton University, Ottawa. He has also been teaching for Google and Learning Tree for the last few years.

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Architecting AI Software Systems

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Maaike van Putten

Maaike is a software consultant and trainer with a passion for sharing her expertise to empower others in their careers. Her love for software development shows in the numerous software development projects she participated in and the many certifications she obtained. She has designed and delivered a broad spectrum of training courses catering to beginners and seasoned developers in Java, Python, C# and many other languages and frameworks. Next to that, she has authored multiple books and online courses through multiple platforms reaching over 500,000 learners across the globe.

Most popular book of Maaike van Putten

JavaScript from Beginner to Professional

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Sam Morley

Sam Morley is a research software engineer and mathematician at the University of Oxford, working on the DataSig programme. He’s the lead maintainer of the RoughPy library, a performant C++ and Python library for computation rough paths and data science. Sam is a former mathematics lecturer and brings both academic precision and real-world engineering experience to every challenge—especially those involving abstraction, data, and algorithms. He’s also the author of Applying Math with Python. Sam greatly enjoys solving puzzles, which is why he finds mathematics and programming so interesting

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The C++ Programmer's Mindset

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Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.

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Machine Learning with PyTorch and Scikit-Learn

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Luciano Mammino

Luciano Mammino began his coding journey at the age of 12 on his father’s old i386, and he hasn’t stopped since. With over 15 years of experience in the software industry, he now serves as a senior architect at fourTheorem , where he empowers global clients to fully leverage AWS and serverless technologies. As an AWS Serverless Hero and Microsoft MVP, Luciano is recognized for his expertise and contributions to the tech community. An active international speaker, he has delivered over 160 talks at conferences and meetups worldwide, sharing his knowledge and passion for cutting-edge technology.

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Frank Vasquez

Frank Vasquez is an independent software consultant specializing in consumer electronics. He has more than a decade of experience designing and building embedded Linux systems. During that time, he has shipped numerous products including a rackmount DSP audio server, a diver-held sonar camcorder, an IoT hotspot, a home battery, and a grid-scale energy storage system. Since the third edition of this book was published, Frank has also become a frequent speaker at open source software conferences including the Yocto Project Summit, Embedded Linux Conference, FOSDEM, and All Systems Go! He is passionate about learning new technologies and teaching them to others.

Most popular book of Frank Vasquez

Mastering Embedded Linux Development

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Sudeep Ghatak

Sudeep Ghatak is a Microsoft MVP in Business Applications and a frequent contributor to the Power Automate Community forum. He works as a Principal Architect in Christchurch, New Zealand and loves designing solutions based on Office 365 and the Azure platform. He is a certified Solutions Developer (MCSD) and holds a postgraduate degree in instrumentation engineering. He is an active member of the Microsoft community and often seen speaking at user groups and conferences in New Zealand.

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Microsoft 365 and SharePoint Online Cookbook

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Jonathan Cacace

Jonathan Cacace was born in Naples, Italy, on 13 December 1987. He earned a Bachelor’s and Masters of Science in Computer Science from the University of Naples Federico II. He then joined the university’s PhD program, earning the title of Philosophiae Doctor in Automation and Computer Engineering in 2016. During his research career, he had the opportunity to participate in and lead various applied research projects focused on robotics, funded by the European Union. This allowed him to explore several areas of robotics, ranging from robot manipulation to navigation.nAfter completing his PhD, he continued his scientific research and work in applied robotics, contributing to more than 50 scientific publications in leading robotics conferences and scientific journals. He also worked as a private consultant for several startups across Europe. From 2019 to 2023. He worked as an assistant professor at the University of Naples, where he taught two courses: Laboratory of Robotics and Mobile Robotics. During this time, he mentored many undergraduate students in the field of Robotics and Computer Engineering. He was also invited to speak at an international robotics workshop held at one of Europe’s most prestigious research centers and universities.nCurrently, Jonathan works as a senior researcher in the field of Cognitive Robotics and Human-Robot Interaction at Eurecat - Centre Tecnològic de Catalunya in Barcelona.

Most popular book of Jonathan Cacace

Mastering ROS 2 for Robotics Programming

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We help Tech Pros put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider founded in Birmingham, UK with over twenty years of experience delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance, our multimedia portfolio includes over 7,000 books, e-books, audiobooks, and video courses. These resources are designed to provide IT professionals with actionable knowledge, helping them to achieve their goals, whether it involves gaining expertise in emerging technologies or enhancing skills in more established tools. Additionally, Packt has contributed over $1,000,000 through its Open Source Project Royalty scheme, supporting the growth of numerous projects.

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