Machine Learning Engineer (OpenCV) — Focused Path

BUNDLE OBJECTIVE
This focused path is designed for aspiring Machine Learning Engineers and Computer Vision practitioners who want to gain expertise in OpenCV using Python. Through practical projects and in-depth concepts, this bundle helps learners transition from intermediate to advanced levels by combining image processing, computer vision, and applied ML techniques.

KEY FEATURES
Step-by-step OpenCV and ML project guides.
Master image processing and detection techniques.
Integrate ML models with computer vision workflows.
Build advanced vision applications with Python.
Progress from intermediate to advanced expertise.

DESCRIPTION
The Machine Learning Engineer (OpenCV) — Focused Path is a two-book bundle designed to build deep practical expertise in computer vision using Python and OpenCV. This path combines theoretical understanding with hands-on project development to help learners master real-world ML applications in image processing, motion tracking, and object detection.

Hands-on ML Projects with OpenCV introduces the foundations of machine learning and computer vision, covering topics like image preprocessing, contour detection, thresholding, motion detection, and object tracking. Each topic is illustrated with Python-based code snippets and results, offering a strong applied learning experience.

Mastering OpenCV with Python dives deeper into advanced concepts such as feature extraction, neural networks, and object detection. The book provides detailed insights into how OpenCV integrates with modern ML frameworks, with exercises and projects that simulate real-world AI challenges.

Together, these books equip you with the skills to build intelligent computer vision systems, making you proficient in one of the most sought-after domains in AI.

WHAT WILL YOU LEARN
Master OpenCV fundamentals and advanced features.
Build real-world computer vision projects using Python.
Implement ML models for object detection and tracking.
Learn feature extraction and neural network integration.
Perform image preprocessing and motion analysis.
Gain end-to-end understanding of applied vision systems.

WHO THIS BUNDLE IS FOR
Ideal for data science students, developers, and engineers who want to enhance their ML and computer vision capabilities using OpenCV and Python. A basic understanding of Python programming and machine learning concepts is recommended.

TABLE OF CONTENTS
Hands-on ML Projects with OpenCV
Introduction to Machine Learning and OpenCV
Image Preprocessing Techniques
Contour Detection and Thresholding
Motion Detection and Tracking
Building End-to-End Vision Projects

Mastering OpenCV with Python
Fundamentals of Image Processing
Working with OpenCV in Python
Feature Extraction and Matching
Object Detection with ML Models
Neural Network Integration
Real-World Applications and Best Practices