關於這本有聲書
"Natural Language Processing: Foundations, Techniques, and Applications"
A Comprehensive Guide for BCA, BTech, and MCA Students
About the Book:
Natural Language Processing (NLP) is a rapidly evolving field that bridges the gap between human language and artificial intelligence. This book, "Natural Language Processing: Foundations, Techniques, and Applications," is designed specifically for BCA, BTech, and MCA students to provide a clear, structured, and hands-on approach to learning NLP.
The book starts with fundamental concepts, introducing students to linguistics, text preprocessing, and rule-based approaches, before progressing to machine learning, deep learning techniques, and real-world applications like chatbots, machine translation, and text summarization. Each chapter includes theoretical explanations, practical implementations using Python, case studies, and hands-on projects, ensuring that students not only understand NLP concepts but also gain practical experience in building NLP applications.
By the end of the book, students will be equipped with the skills required to develop intelligent text-processing applications, analyze real-world language data, and explore the potential of modern AI-powered NLP models like BERT, GPT, and transformers.
Benefits of Studying This Book:
Strong Theoretical Foundation
Understand the core principles of NLP, including syntax, semantics, parsing, and text processing.
Learn about classical NLP techniques and their evolution to modern AI-based approaches.
Hands-on Practical Learning
Implement real-world NLP tasks using Python, NLTK, SpaCy, and TensorFlow.
Work on text classification, sentiment analysis, chatbots, and summarization projects.
Machine Learning and Deep Learning for NLP
Gain a comprehensive understanding of machine learning models for NLP.
Learn deep learning techniques like RNN, LSTM, GRU, and Transformer models (BERT & GPT).
Industry-Relevant Applications
Learn how NLP powers applications like chatbots (Alexa, Siri), speech recognition, machine translation (Google Translate), and sentiment analysis.
Work on real-world projects to enhance problem-solving skills and employability.
Career Opportunities in NLP and AI
Open doors to AI-driven job roles such as NLP Engineer, Data Scientist, AI Researcher, and Machine Learning Engineer.
Build a strong portfolio by working on practical projects, making students job-ready for the tech industry.
Future-Ready Knowledge
Stay updated with the latest trends in NLP, including multimodal AI, explainable NLP, and low-resource language processing.
Learn about ethical considerations, bias in NLP models, and the future scope of AI in language understanding.
關於作者
Anshuman Mishra is an experienced Assistant Professor with over 18 years of expertise in the field of Computer Science. With a strong academic background, including an M.Tech in Computer Science from BIT Mesra, Anshuman has dedicated his career to teaching and mentoring students in various branches of computer science, particularly in programming languages, data science, and machine learning.
Currently an Assistant Professor at Doranda College, Ranchi, Anshuman has built a reputation for his deep knowledge and passion for technology. He specializes in areas like Python programming, machine learning, data structures, algorithms, and system architecture. His approach to teaching is practical and hands-on, ensuring that students not only grasp theoretical concepts but also gain the skills needed to implement them in real-world applications.
Anshuman's teaching philosophy revolves around clarity, simplicity, and real-life applications. Over the years, he has developed numerous courses and training sessions for undergraduate and graduate students, focusing on making complex topics more accessible. He has authored several books on programming, including works aimed at both beginners and advanced learners.
In addition to his teaching career, Anshuman is actively involved in research and development within the computer science domain, continuously exploring new trends and technologies. His deep understanding of Python, combined with his experience in data science, makes him a sought-after expert in his field.
Anshuman Mishra's Contributions:
Over 18 years of teaching experience in computer science
Expert in Python programming, data science, machine learning, and system architecture
Author of multiple academic books and practical guides for students and professionals
Passionate about making complex technical concepts easy to understand and apply
Committed to empowering students with the knowledge and tools needed for successful careers in technology
