Collections :. Komputer & Informatika .: Total: 1.149 koleksi

• Involution: Inverting the Inherence of Convolution for Visual Recognition

  Book by Duo Li, Jie Hu, Changhu Wang, 1 file

  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…
• Applied Intelligent Decision Making in Machine Learning

  Book by Himansu Das, 1 file

  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 f…
• Introduction to Scientiic Programming with Python

  Book by Joakim Sundnes, 1 file

  This book was originally written as a set of lecture notes to the book A Primer on Scientific Programming with Python by Hans Petter Langtangen , and can be used eith…
• Guide to Intelligent Data Science How to Intelligently Make Use of Real Data-Second Edition

  Book by Michael R. Berthold, Christian Borgelt, Frank Hoppner, Frank Klawonn, Rosaria Silipo, 1 file

  The interest in making sense of data has become central to pretty much every busi- ness and project in the past decade. When we wrote the first edition of this volume…
• Graph Representation Learning

  Book by William L. Hamilton, 1 file

  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…
• Graph Representation Learning

  Book by William L. Hamilton, 1 file

  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…
• Text Analytics with Python A Practitioner's Guide to Natural Language Processing-Second Edition

  Book by Dipanjan Sarkar, 1 file

  Data is the new oil and unstructured data””especially text, images, and videos””contains a wealth of information. However, due to the inherent complexity in processing an…
• Practice Standard for Project Estimating Second Edition

  Book by Project Management Institute, 1 file

  The Project Management Institute, Inc. (PMI) standards and guideline publications, of which the document contained herein is one, are developed through a voluntary consen…
• Practical Text Analytics Maximizing the Value of Text Data

  Book by Murugan Anandarajan, Chelsey Hill, Thomas Nolan, 1 file

  This book covers the elements involved in creating a text mining pipeline. While analysts will not use every element in every project, each tool provides a potential segm…
• Practical Text Analytics

  Book by Murugan Anandarajan, Chelsey Hill, Thomas Nolan, 1 file

  This book covers the elements involved in creating a text mining pipeline. While analysts will not use every element in every project, each tool provides a potential segm…
• Natural Language Processing Recipes

  Book by Akshay Kulkarni, Adarsha Shivanada, 1 file

  Natural Language Processing Recipes is your handy problem-solution reference for learning and implementing NLP solutions using Python. The book is packed with thousands o…
• Natural Language Processing Recipes

  Book by Akshay Kulkarni, Adarsha Shivanada

  Natural Language Processing Recipes is your handy problem-solution reference for learning and implementing NLP solutions using Python. The book is packed with thousands o…
• Building Chatbots with Python

  Book by Sumit Raj, 1 file

  This book has been written with immense care to keep the teachings from this book very pragmatic and results-oriented. Building chatbots is not just about completing a tu…
• The Standard for ORGANIZATIONAL PROJECT MANAGEMENT (OPM)

  Book by Project Management Institute, 1 file

  A Guide to the Project Management Body of Knowledge (PMBOK ® Guide) – Sixth Edition and other PMI standards provide guidance on the management of portfolios, programs, an…
• Deep Learning for Natural Language Processing Creating Neural Networks with Python

  Book by Palash Goyal, Sumit Pandey, Karan Jain, 1 file

  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 architectu…