AI-104: Computer Vision & NLP
AI-104: Computer Vision & NLP is the fourth volume in the Octa ByteLabs Professional Learning Manual Series, designed to provide learners with a comprehensive understanding of two of the most impactful domains of Artificial Intelligence—Computer Vision and Natural Language Processing (NLP). This book is ideal for aspiring AI engineers, machine learning engineers, data scientists, software developers, researchers, and technology enthusiasts seeking to build intelligent systems capable of understanding images, videos, and human language.
The book begins with the fundamentals of Computer Vision, covering image processing, feature extraction, image classification, object detection, image segmentation, facial recognition, and Optical Character Recognition (OCR). It then progresses to Natural Language Processing (NLP), introducing text preprocessing, tokenization, word embeddings, sentiment analysis, text classification, named entity recognition (NER), machine translation, question answering, chatbots, and Transformer-based models. Learners will gain hands-on experience using industry-standard frameworks such as OpenCV, TensorFlow, PyTorch, Hugging Face Transformers, spaCy, and NLTK to develop AI-powered vision and language applications.
Through practical coding examples, real-world datasets, industry case studies, and hands-on projects, readers will build applications including image recognition systems, intelligent surveillance solutions, document analysis tools, OCR systems, chatbots, language translators, sentiment analysis models, recommendation engines, and AI-powered search applications. Every chapter combines theoretical concepts with practical implementation, ensuring learners develop both technical expertise and real-world problem-solving skills.
Unlike traditional academic textbooks, AI-104 emphasizes experiential learning through coding exercises, chapter-end assessments, business scenarios, and portfolio-ready AI projects. Whether you are preparing for a career in Artificial Intelligence, Computer Vision, Natural Language Processing, or advanced Machine Learning, this book provides the practical knowledge and industry-focused skills required to build next-generation AI solutions.
Professionally authored and presented in a premium hardcover format, this learning manual serves as a valuable reference for students, working professionals, educators, researchers, startups, and organizations seeking expertise in modern Computer Vision and Natural Language Processing technologies.
Key Highlights
200+ pages of comprehensive learning material
Covers Computer Vision and Natural Language Processing from fundamentals to advanced applications
Hands-on implementation using OpenCV, TensorFlow, PyTorch, Hugging Face, spaCy, and NLTK
Real-world datasets and industry case studies
Practical coding exercises and chapter-end assessments
Covers image classification, object detection, OCR, chatbots, sentiment analysis, and Transformer models
Portfolio-ready AI application projects
Premium hardcover edition from Octa ByteLabs
Who Should Read This Book?
Aspiring AI Engineers
Machine Learning Engineers
Data Scientists
Software Developers
Computer Vision & NLP Enthusiasts
College & University Students
Working Professionals
Researchers and Technology Professionals
What You Will Learn
Fundamentals of Computer Vision
Image Processing & Feature Extraction
Image Classification & Object Detection
Image Segmentation & OCR
Fundamentals of Natural Language Processing (NLP)
Text Preprocessing & Word Embeddings
Sentiment Analysis & Text Classification
Named Entity Recognition (NER) & Chatbot Development
Transformer Models & Hugging Face
Real-World Computer Vision & NLP Projects
