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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  • THE GOVERNANCE OF CHINA III
  • Data Visualization: A Practical Introduction
  • Python Data Science Handbook: Essential Tools for Working with Data
  • Learning Python: Powerful Object-Oriented Programming
  • Principles of Data Mining (Adaptive Computation and Machine Learning)
  • Generative AI with Python and PyTorch Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications
  • AI Ethics (The MIT Press Essential Knowledge series)
  • Mathematical Foundations of Data Science (Texts in Computer Science)
  • Database Internals: A Deep Dive into How Distributed Data Systems Work
  • Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x,
  • Foundations of Data Science
  • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
  • Doing Data Science: Straight Talk from the Frontline
  • Computer Vision: Algorithms and Applications (Texts in Computer Science)
  • Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
  • Computer Security Fundamentals (Pearson IT Cybersecurity Curriculum (ITCC))
  • Artificial Intelligence: Foundations of Computational Agents
  • Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
  • Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data
  • The Cloud Computing Book: The Future of Computing Explained
  • Data Visualization: A Practical Introduction
  • Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
  • An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
  • Probability and Statistics for Computer Scientists
  • Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center
  • Build a Large Language Model (From Scratch)
  • AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
  • Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
  • Building LLM Powered Applications: Create intelligent apps and agents with large language models
  • Compiler Construction: Principles and Practice 1st Edition
SLiMS 8.3.1 (Akasia)
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