Browsing by Subject Machine learning

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  • TVS.005119_TT_Fei Hu, Xiali Hei - AI, Machine Learning and Deep Learning_ A Security Perspective-CRC Press (2023).pdf.jpg
  • Sách/Book


  • Authors: Hu, Fei (2023)

  • Today Artificial Intelligence (AI) and Machine/Deep Learning (ML/DL) have become the hottest areas in the information technology. In our society, there are so many intelligent devices that rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms/tools have used in many Internet applications and electronic devices, they are also vulnerable to various attacks and threats. The AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, and many other attacks/threats. Those attacks make the AI products dangerous to use

  • TVS.003947_(Adaptive Computation and Machine Learning series) Ethem Alpaydin - Introduction to Machine Learning-The MIT Press (2014)-1.pdf.jpg
  • Book


  • Authors: Ethem Alpaydin (2014)

  • Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods.

  • TVS.006015_TT_Marc Loy, Patrick Niemeyer, and Daniel Leuck - Learning Java, 6th Edition (Third Early Release)-O_Reilly Media, Inc. (2023).pdf.jpg
  • Sách/Book


  • Authors: Loy, Marc (2023)

  • This guide helps you: Learn the structure of the Java language and Java applications Write, compile, and execute Java applications Understand the basics of Java threading and concurrent programming Learn Java I/O basics, including local files and network resources Create compelling interfaces with an eye toward usability Learn how functional features have been integrated in Java Keep up with Java developments as new versions are released

  • TVS.004946_TT_A. Mansurali, P. Mary Jeyanthi - Marketing Analytics_ A Machine Learning Approach-CRC Press_Apple Academic Press (2023).pdf.jpg
  • Sách/Book


  • Authors: Mansurali, A (2023)

  • With businesses becoming ever more competitive, marketing strategies need to be more precise and performance oriented. Companies are investing considerably in analytical infrastructure for marketing. This new volume, Marketing Analytics: A Machine Learning Approach, enlightens readers on the application of analytics in marketing and the process of analytics, providing a foundation on the concepts and algorithms of machine learning and statistics