Install and Run Llama 3.2 1B and 3B Models Locally in Python Using Ollama
by In this tutorial, we explain how to install and run Llama 3.2 1B and 3B models in Python by Using Ollama. Llama 3.2 is the …
Tag: machine learning
How to Correctly Install PyTorch GPU version in Anaconda or Conda Virtual Environments on Windows computers
In this tutorial, we explain how to correctly install PyTorch in Anaconda or Conda virtual environments on Windows computers. Motivation: It is suggested to install …
How to install VLC Media Player on Ubuntu Linux – Setting Up Computer for Computer Vision and Machine Learning
In this tutorial, we explain how to correctly install VLC media player on Ubuntu Linux. This tutorial is part of a series of tutorials on …
How to Correctly Install PyTorch GPU in Python on a Windows Computer and How to Test Installation
In this Python, PyTorch, and machine learning tutorial, we explain how to correctly install PyTorch GPU version in Python on a Windows computer and how …
Control Systems Lectures / Control Theory / Control/Estimation / localization / Mechatronics/Robotics / Mobile Robots / SLAM
Simple Discrete-time Model of Mobile Robot for Localization, SLAM, and Dead Reckoning
In this robotics and control engineering tutorial, we explain how to develop a simple discrete-time model of a mobile robot that can be used for …
Control Systems Lectures / Control Theory / Control/Estimation / Machine Learning / Machine Learning/Data Science / Particle Filters / Python / Statistics
Clear and Concise Particle Filter Tutorial with Python Implementation- Part 3: Python Implementation of Particle Filter Algorithm
This is the third part of the tutorial series on particle filters. In this third tutorial part, we explain how to implement the particle filter …
Control Systems Lectures / Control Theory / Control/Estimation / Machine Learning/Data Science / Optimal Control / Python / Statistics
How To Properly Simulate a Stochastic (Random) Linear State-Space Model in Python
In this control engineering, estimation, and control theory tutorial, we explain how to properly simulate a stochastic (random) linear state-space model in Python. This problem …
Clear and Concise Particle Filter Tutorial with Python Implementation- Part 1: Problem Formulation
In this estimation, control theory, machine learning, signal processing, and data science tutorial, we provide a clear and concise explanation of a particle filter algorithm. …
What is Importance Sampling? – Detailed Explanation with Python Implementation and Simulation
In this Python, statistics, estimation, and mathematics tutorial, we introduce the concept of importance sampling. The importance sampling method is a Monte Carlo method for …
How To Approximate Expectations and Integrals of Functions by Using the Monte Carlo Method
In this mathematics and statistics tutorial, we explain one very important technique for approximating expectations and integrals of functions. This technique is based on the …