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Hasil Pencarian Ditemukan 130 koleksi (Hal. 1/9)

  • Sistem Keamanan Cerdas Bagaimana Kecerdasan Buatan, Pembelajaran Mesin, dan Ilmu Data Bekerja untuk dan Melawan Keamanan Komputer
    Keamanan komputer dan jaringan, juga disebut keamanan siber, adalah salah satu subjek yang paling penting untuk dipertimbangkan saat menangani masalah komputer, jaringan, dan data.…
  • Ilmu Data di AWS
    Dalam bab ini, kita membahas manfaat membangun proyek ilmu data di cloud. Kami mulai dengan membahas manfaat komputasi awan. Selanjutnya, kami menggambarkan tipikal alur kerja mach…
  • C++ Template Metaprogramming in Practice A Deep Learning Framework
    C++ is a widely used programming language. Most C++ developers write code in an objectoriented way””the C++ projects in our daily life are basically organized in this style; almost…
  • Manning Early Access Program Inside Deep Learning Math, Algorithms, Models
    Deep learning (also called neural networks) gives us tools to help improve the quality of life in big and small ways, and my sincere desire is to pass that along to you. By the end…
  • Manning Early Access Program Deep Learning with Python
    Deep learning is an immensely rich subfield of machine learning, with powerful applications ranging from machine perception to natural language processing, all the way up to creati…
  • A Modern Introduction to Probability and Statistics
    Probability and statistics are fascinating subjects on the interface between mathematics and applied sciences that help us understand and solve practical problems. We believe that…
  • Learning Geospatial Analysis with Python
    The book starts by giving you the background of geospatial analysis, and then offers a flow of the techniques and technology used and splits the field into its component specialty…
  • Geographic Information Systems (GIS) for Disaster Management
    This book was primarily written for disaster management students interested in learning about the many facets of Geographic Information Systems (GIS) for disaster management. The u…
  • Involution: Inverting the Inherence of Convolution for Visual Recognition
    Convolution has been the core ingredient of modern neu- ral networks, triggering the surge of deep learning in vi- sion. In this work, we rethink the inherent principles of standar…
  • Applied Intelligent Decision Making in Machine Learning
    Decision making is the process of selection of best choice made logically from the accessible options. Decision making analyzes the large volume of data in a particular field and i…
  • Graph Representation Learning
    Intended audience This book is intended for a graduate-level researcher in machine learning or an advanced undergraduate student. The discussions of graph-structured data and graph…
  • Graph Representation Learning
    Intended audience This book is intended for a graduate-level researcher in machine learning or an advanced undergraduate student. The discussions of graph-structured data and graph…
  • Natural Language Processing Recipes
    Natural Language Processing Recipes is your handy problem-solution reference for learning and implementing NLP solutions using Python. The book is packed with thousands of code and…
  • Natural Language Processing Recipes
    Natural Language Processing Recipes is your handy problem-solution reference for learning and implementing NLP solutions using Python. The book is packed with thousands of code and…
  • Deep Learning for Natural Language Processing Creating Neural Networks with Python
    This book attempts to simplify and present the concepts of deep learning in a very comprehensive manner, with suitable, full-fledged examples of neural network architectures, such…
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