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Author: Raghavendra Rao Althar
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311070353X
Category : Computers
Languages : en
Pages : 385
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Book Description
This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.
Author: Raghavendra Rao Althar
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311070353X
Category : Computers
Languages : en
Pages : 385
Get Book Here
Book Description
This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 300
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Book Description
Author: Mark Changizi
Publisher: BenBella Books, Inc.
ISBN: 1935618830
Category : Science
Languages : en
Pages : 216
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Book Description
The scientific consensus is that our ability to understand human speech has evolved over hundreds of thousands of years. After all, there are whole portions of the brain devoted to human speech. We learn to understand speech before we can even walk, and can seamlessly absorb enormous amounts of information simply by hearing it. Surely we evolved this capability over thousands of generations. Or did we? Portions of the human brain are also devoted to reading. Children learn to read at a very young age and can seamlessly absorb information even more quickly through reading than through hearing. We know that we didn't evolve to read because reading is only a few thousand years old. In Harnessed, cognitive scientist Mark Changizi demonstrates that human speech has been very specifically “designed" to harness the sounds of nature, sounds we've evolved over millions of years to readily understand. Long before humans evolved, mammals have learned to interpret the sounds of nature to understand both threats and opportunities. Our speech—regardless of language—is very clearly based on the sounds of nature. Even more fascinating, Changizi shows that music itself is based on natural sounds. Music—seemingly one of the most human of inventions—is literally built on sounds and patterns of sound that have existed since the beginning of time. From Library Journal: "Many scientists believe that the human brain's capacity for language is innate, that the brain is actually "hard-wired" for this higher-level functionality. But theoretical neurobiologist Changizi (director of human cognition, 2AI Labs; The Vision Revolution) brilliantly challenges this view, claiming that language (and music) are neither innate nor instinctual to the brain but evolved culturally to take advantage of what the most ancient aspect of our brain does best: process the sounds of nature ... it will certainly intrigue evolutionary biologists, linguists, and cultural anthropologists and is strongly recommended for libraries that have Changizi's previous book." From Forbes: “In his latest book, Harnessed, neuroscientist Mark Changizi manages to accomplish the extraordinary: he says something compellingly new about evolution.… Instead of tackling evolution from the usual position and become mired in the usual arguments, he focuses on one aspect of the larger story so central to who we are, it may very well overshadow all others except the origin of life itself: communication."
Author: Derek F. Wong
Publisher: Springer Nature
ISBN: 9819794439
Category :
Languages : en
Pages : 531
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Book Description
Author: Pierre M. Nugues
Publisher: Springer Nature
ISBN: 3031575490
Category :
Languages : en
Pages : 536
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Book Description
Author: Obaid, Ahmed J.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 505
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Book Description
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 1108
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Book Description
Author: G Michaelson
Publisher: CRC Press
ISBN: 1482286947
Category : Computers
Languages : en
Pages : 310
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Book Description
This book is concerned with programming in the language Standard ML (SML), that is using SML to make precise models for computer animation. It draws on the distinction between programming in the small and in the large, plumping exclusively for the former.
Author: Frances Christie
Publisher: A&C Black
ISBN: 1847065724
Category : Language Arts & Disciplines
Languages : en
Pages : 282
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Book Description
An in-depth exploration of the nature of language, knowledge and pedagogy, providing a progressive analysis of knowledge structures at work in educations institutions.
Author: Yuxi (Hayden) Liu
Publisher: Packt Publishing Ltd
ISBN: 183508222X
Category : Computers
Languages : en
Pages : 519
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Book Description
Author Yuxi (Hayden) Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and real-world examples using PyTorch, TensorFlow, scikit-learn, and pandas Key Features Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions Implement ML models, such as neural networks and linear and logistic regression, from scratch Purchase of the print or Kindle book includes a free PDF copy Book DescriptionThe fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts. Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine. This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.What you will learn Follow machine learning best practices throughout data preparation and model development Build and improve image classifiers using convolutional neural networks (CNNs) and transfer learning Develop and fine-tune neural networks using TensorFlow and PyTorch Analyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIP Build classifiers using support vector machines (SVMs) and boost performance with PCA Avoid overfitting using regularization, feature selection, and more Who this book is for This expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.
