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Results 2871-2880 of 3054 (Search time: 0.009 seconds).
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  • Sách/Book

  • A textbook of data structures and algorithms 1: mastering linear data structures

    • Authors: G A Vijayalakshmi Pai (2022)

  • Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic.
  • Sách/Book

  • Cryptography 101 : from theory to practice

    • Authors: Rolf Oppliger. (2021)

  • Readers are given an overview of discrete mathematics, probability theory and complexity theory. Key establishment is explained. Asymmetric encryption and digital signatures are also identified. Written by an expert in the field, this book provides ideas and concepts that are beneficial to novice as well as experienced practitioners
  • Sách/Book

  • Machine learning with Python cookbook : practical solutions from preprocessing to deep learning /

    • Authors: Kyle Gallatin; Chris Albon (2023)

  • This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.
  • Sách/Book

  • Data structures and algorithms with Python : with an introduction to multiprocessing

    • Authors: Kent D. Lee (2024)

  • Topics and features: Includes introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses Provides learning goals, review questions, and programming exercises in each chapter, as well as numerous examples Presents a primer on Python for those coming from a different language background Adds a new chapter on multiprocessing with Python using the DragonHPC multinode implementation of multiprocessing (includes a tutorial) Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithms Offers downloadable programs and supplementary files at an associated website to help students
  • Sách/Book

  • Natural language processing recipes : unlocking text data with machine learning and deep learning using Python

    • Authors: Akshay Kulkarni (2021)

  • This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms
  • Sách/Book

  • Systems Engineering: Complex Systems Design, Analysis, Programming, and Maintenance

    • Authors: Germano Lambert-Torres (2024)

  • This book discusses applications of system engineering in different classes of problems and examines how a given solution for a specific problem can be transported and applied to solve another problem. It provides practical and theoretical explanations of problems, explores the application of system engineering tools, and describes the use of intelligent techniques.