Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits.
Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorialsKey FeaturesGain expertise in prompt engineering, LLM fine-tuning, and domain adaptationUse transformers-based LLMs and diffusion models to implement AI applicationsDiscover strategies to optimize model performance, address ethical considerations, and build trust in AI systemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application.
Even though the semantic Web is a relatively new and dynamic area of research, a whole suite of components, standards, and tools have already been developed around it.
The first book to deliver broad coverage of the documented and undocumented object-oriented features of MATLAB, this guide aids readers in creating effective software.
The second edition of C# and Game Programming offers the same practical, hands-on approach as the first edition to learning the C# language through classic arcade game applications.
If you need to understand concurrency, this book is your guide to the fundamentals behind the advanced software you seek to implement to achieve highly responsive and scalable code.
The Comprehensive, Expert Guide to C# Language Programming "e;This book has been a classic for years, and remains one of the most venerable and trusted titles in the world of C# content, and probably far beyond!
With data and AI increasingly at the forefront of business today, you have a significant advantage when you can manage data, and uncover and communicate data insights effectively.
Learn C++ game programming through real-world demos of AI systems, animation, and rendering to build scalable, high-performance games using patterns you can reuse across any game engineKey FeaturesBuild real-time 2D and 3D games using C++ with practical, executable examplesGain proficiency in game programming domains like AI pathfinding, camera systems, animation, and rendering effectsBoost runtime efficiency with practical techniques like object pooling, LOD patterns, and terrain partitioning to create smoother, more responsive gameplay systemsBook DescriptionCreating responsive, intelligent games takes more than just following engine tutorials.
Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries.
Dive into GUI application development and create useful applications for practical and relevant topics in the fields of business, computer science, and research.
