NUML LIBRARY RAWALPINDI (National University of Modern Languages)

NUML LIBRARY RAWALPINDI (National University of Modern Languages)

NUML library is the state of art which equipped “RESEARCH FACILITATION CENTRE” with latest computers for readers to access the digital library of more than 23000 research journals and 130000 online books and E-Library of NUML-Rawalpindi.

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  • Building LLM Powered Applications: Create intelligent apps and agents with large language models
  • Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
  • AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
  • Build a Large Language Model (From Scratch)
  • Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center
  • Probability and Statistics for Computer Scientists
  • An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
  • Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
  • Data Visualization: A Practical Introduction
  • The Cloud Computing Book: The Future of Computing Explained
  • Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data
  • Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
  • Artificial Intelligence: Foundations of Computational Agents
  • Computer Security Fundamentals (Pearson IT Cybersecurity Curriculum (ITCC))
  • Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
  • Computer Vision: Algorithms and Applications (Texts in Computer Science)
  • Doing Data Science: Straight Talk from the Frontline
  • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
  • Foundations of Data Science
  • Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x,
  • Database Internals: A Deep Dive into How Distributed Data Systems Work
  • Mathematical Foundations of Data Science (Texts in Computer Science)
  • AI Ethics (The MIT Press Essential Knowledge series)
  • Generative AI with Python and PyTorch Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications
  • Principles of Data Mining (Adaptive Computation and Machine Learning)
  • Learning Python: Powerful Object-Oriented Programming
  • Python Data Science Handbook: Essential Tools for Working with Data
  • Data Visualization: A Practical Introduction
  • THE GOVERNANCE OF CHINA III
  • HUMILITY HOSTS HUMANITY
SLiMS 8.3.1 (Akasia)
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