Taking the manual steps and creating automation — Creating a virtual environment in Anaconda is a straightforward task using the `conda create -n env-name command. By default, the new environment will be created in the folder of the anaconda/miniconda installation. For example in a Linux machine, the environments are under the directory of ~/miniconda3/envs Now, if we are…

Anaconda configuration for CPU and GPU Deploying a Machine Learning and Deep Learning project is not always straight forward particularly when we need to run the model in the GPU if there is one in our machine. First of all, we need to have a GPU that supports the CUDA library. The list of the CUDA…

Miniconda installation Developing Machine Learning (ML) and Deep Learning (DL) projects have become more common. ML and DL are literary everywhere nowadays, from big corporations to schools and universities, and used in areas from medicine to robotics. But with the extensive use and variability of the projects where ML/DL is used, some…

The 6 steps to answer questions — The cultural and economic impact of technology and science is immeasurable. They alter a great deal of what we see on a regular basis. Computers, phones, and other consumer gadgets are apparent instances of how quickly technology changes and improves. For example, a quicker and smaller flash drive with 64…

A brief introduction to Big Data — We all use electronic devices, computers, phones etc. But have we ever wondered how much data all these devices are generating, in the form of text, phone calls, emails, photos and videos, web searches and music? Approximately, 40 exabytes of data are generated every month by a single smartphone user…

A Brief Introduction to AUVs technologies — Introduction Autonomous underwater robots have become an integral part of both marine science and ocean engineering, and with the evolution of these sectors, the development of AUVs is heading towards full autonomy. A complete autonomous underwater vehicle will operate independently and will be able to act logically and methodically to accomplish…

Machine Learning from a PhD student perspective — Introduction So it has been almost 3 years and a half since I started my PhD in Autonomous Underwater Vehicles (AUVs), where I’m using Machine Learning, Deep Learning and Computer Vision to create a framework for autonomous underwater intervention. Puff, this was relatively quick to describe 3.5 years in one sentence…

A brief history of Machine Learning based on my work for Autonomous Underwater Intervention using Intelligent Computer Vision methods. The concept of Machine Learning originated in the 1950s when the Computer Science pioneer Alan Turing proposed the question “Can machines think?” in the paper “Computing Machinery and Intelligence” (Turing, 1950)…