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151

Managing Risks in Digital Transformation : Navigate the modern landscape of digital threats with the help of real-world examples and use cases

著者: Kumar, Ashish.
出版事項 2023

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152

Customizing Microsoft Teams : Build custom apps and extensions for your business using Power Platform and Dataverse in Microsoft Teams

著者: Kondameda, Gopi.
出版事項 2023

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153

Autodesk Civil 3D 2024 from Start to Finish : A practical guide to civil infrastructure design, modeling, and analysis

著者: Walz, Stephen.
出版事項 2023

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154

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

著者: Labonne, Maxime.
出版事項 2023

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155

Hands-On Computer Vision with Detectron2 : Develop object detection and segmentation models with a code and visualization approach

著者: Pham, Van Vung.
出版事項 2023

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156

Principles of Data Fabric : Become a data-driven organization by implementing Data Fabric solutions efficiently

著者: Mezzetta, Sonia.
出版事項 2023

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157

Advanced Network Simulations Simplified : Practical guide for wired, Wi-Fi (802.11n/ac/ax), and LTE networks using ns-3

著者: Rangisetti, Anil Kumar.
出版事項 2023

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158

L'agriculture à l'heure des choix.

出版事項 2023

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E-Book

159

Rise of Generative AI and ChatGPT : Understand how Generative AI and ChatGPT are transforming and reshaping the business world

著者: Chakraborty, Utpal.
出版事項 2023

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160

Python Machine Learning Projects : Learn how to build Machine Learning projects from scratch

著者: Vora, Deepali R.
出版事項 2023

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161

Python for Everyone : Learn and polish your coding skills in Python

著者: Saurabh Chandrakar, Nilesh Bhaskarrao Bahadure.
出版事項 2023

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162

Python for Chemistry : An introduction to Python algorithms, Simulations, and Programing for Chemistry

著者: Kanagasabapathy, M.
出版事項 2023

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163

No-Code Artificial Intelligence : The new way to build AI powered applications

著者: Agrawal, Ambuj.
出版事項 2023

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164

NFTs for Beginners : Understand how NFTs are revolutionizing the concept of digital ownership

著者: Arya, Rajan.
出版事項 2023

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165

Fun with Machine Learning : Simplify the Data Science process by automating repetitive and complex tasks using AutoML

著者: Liborious, Arockia.
出版事項 2023

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166

Data Structures with Python : Get familiar with the common Data Structures and Algorithms in Python

著者: Bhasin, Harsh, 19..-...., informaticien.
出版事項 2023

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167

Breaking Ransomware : Explore ways to find and exploit flaws in a ransomware attack

著者: Narula, Jitender.
出版事項 2023

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168

Artificial Intelligence for Students : A comprehensive overview of AI's foundation, applicability, and innovation

著者: Pandey, Vibha.
出版事項 2023

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169

Arduino Programming Projects : Learn how to build cool, fun, and easy Arduino Projects

著者: Barnwal, Rohan.
出版事項 2023

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170

Advanced Data Structures and Algorithms : Learn how to enhance data processing with more complex and advanced data structures

著者: Abirami, A.
出版事項 2023

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171

Appliquer le modèle de Rasch : défis et pistes de solution

著者: Dionne, Eric, 1971-
出版事項 2023

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172

Insaisissable Graal : la fusion nucléaire par laser au temps des pionniers (1962-1975)

著者: Bobin, Jean-Louis.
出版事項 2023

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173

Exploring Deepfakes : Deploy powerful AI techniques for face replacement and more with this comprehensive guide

著者: Lyon, Bryan.
出版事項 2023

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174

IoT and OT Security Handbook : Assess risks, manage vulnerabilities, and monitor threats with Microsoft Defender for IoT

著者: Jain, Smita.
出版事項 2023

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175

˜The œKaggle Workbook : Self-learning exercises and valuable insights for Kaggle data science competitions

The Kaggle Workbook : Self-learning exercises and valuable insights for Kaggle data science competitions

著者: Banachewicz, Konrad.
出版事項 2023

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