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Data Science & Machine Learning Full Course By Scalar
You have given amazing course bro👍.- data science & machine learning
- scalar
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13
Data Science & Machine Learning Full Course By Scalar
Thanks for amazing course bro .- data science & machine learning
- scalar
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13
Data Science & Machine Learning Full Course By Scalar
This course is amazing and helps in developing good knowledge of AI in this era- data science & machine learning
- scalar
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VPS Essentials - The Practical Guide
VPS Essentials - The Practical Guide View File File Name: VPS Essentials - The Practical Guide Content Source: https://academind.com/courses/vps-essentials-the-practical-guide Genre / Category: Premium courses Password: Original Price: $49 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: This practical course will help you confidently understand how to work with a VPS: from the first steps and connecting to the server to its full, secure, and stable operation. The material is presented in short practical lessons with ready-made commands and clear explanations so that you always understand what you are doing and why. What you will learn during the training The course will sequentially guide you through the key stages of working with virtual servers and their infrastructure. Basics and connecting to a VPS What a VPS is, when it is needed, and how to choose a configuration. Connecting to the server via SSH and basic initial setup. Creating users, managing access, and keys. Security and access control Setting up a firewall and optimal security policies. Using fail2ban to prevent attacks. Working with private networks and restricting external connections. Working with Docker and deploying applications Containerizing services and launching projects in Docker. Using domains and connecting HTTPS. Setting up a reverse proxy for convenient management of multiple applications. Practical scenarios Running background processes and cron tasks. Automating routine operations. Deploying and maintaining AI agents in an isolated, continuously running environment. Providers and practical applicability Hetzner is used as an example in the course, but all methods and principles are universal and suitable for any VPS provider. You will be able to easily transfer the skills you gain to any other hosting. Course outcome By the end of the training, you will have not just a created server but a full-fledged, properly configured, and secure infrastructure, ready for real solutions: hosting web applications; automating work processes; deploying AI services and tools. Submitter THEE DARK Submitted 04/25/2026 Category Courses Sale page https://academind.com/courses/vps-essentials-the-practical-guide- vps essentials
- learn vps
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Master the First Principles of Computer Vision
Master the First Principles of Computer Vision View File File Name: Master the First Principles of Computer Vision Content Source: https://www.ubicoders.com/foundations/robotics/cv Genre / Category: Premium courses Password: Original Price: $190 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: Master the fundamental principles of computer vision and build perception systems from scratch instead of using ready-made solutions. Why understanding the basics of computer vision is important In the internet age, many engineers mistakenly believe that it's enough to simply import a YOLO model from GitHub or use a wrapper from Hugging Face to work with computer vision systems. However, such solutions often turn the engineer into a "pixel consumer," limited to two-dimensional analysis. Problems with the approach of ready-made solutions Problems become apparent when conditions change: lighting, camera position, or robot movement in a new environment. Without a deep understanding of spatial geometry, such systems often end up being "blind." An image should be considered a mathematical projection of three-dimensional reality, not just a picture. What you will learn during the course The course offers the understanding and creation of a complete perception system from scratch. You will delve into camera geometry and 3D reconstruction of the surrounding world. Key topics of the course The connection between points in real space and image pixels. Working with camera parameters (intrinsics and extrinsics). How the mathematical projection model turns an image into a source of spatial data. Computer vision methods for robotics: optical flow, feature matching, triangulation, and stereovision. Building a full 3D perception pipeline Special attention is given to building the pipeline—from camera calibration, lens distortion correction to creating depth maps and point clouds. You will learn to transform pixels into spatial knowledge and design systems that work in real conditions. Who the course is for The course is designed for engineers looking to go beyond using libraries and understand the mathematics of computer vision. Ideal for those who want to design perception systems for robotics, autonomous devices, and intelligent machines. Conclusion By mastering the principles of camera geometry and spatial analysis, you'll be able not only to apply computer vision tools but also to create system architectures that truly understand the surrounding world. Submitter THEE DARK Submitted 04/24/2026 Category Courses Sale page https://www.ubicoders.com/foundations/robotics/cv
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