Artificial Intelligence & Machine Learning Course in Faisalabad
Introduction
Hey there! Are you interested in learning artificial intelligence and machine learning in your hometown, Faisalabad? Do you want to learn more about these exciting fields and gain the skills to work with cutting-edge technology? Look no further than CYBEX – School of IT Professionals (Pvt) Limited, located right here in Faisalabad!
Our institute offers a comprehensive artificial intelligence course in Faisalabad, taught by industry professionals with years of experience in the field. Whether you’re a beginner looking to start a new career or an experienced professional seeking to enhance your skills, we have the resources and expertise to help you succeed.
At CYBEX – School of IT Professionals (Pvt) Limited, we believe in hands-on learning, so our courses are designed to give you plenty of practical experience using real-world tools and technology. You’ll learn everything from basic programming and circuit design to advanced robotics control and machine learning. And because we understand that everyone learns differently, we offer flexible scheduling options to fit your needs and your busy schedule.
So why wait? Take the first step towards your exciting new career in robotics and AI by enrolling in CYBEX – School of IT Professionals (Pvt) Limited today! We’re here to help you achieve your goals, and we can’t wait to see what you accomplish.
What Will You Study in this Artificial Intelligence Course in Faisalabad?
Localization
- Localization, Total Probability, Uniform Distribution, Probability After Sense, Normalize Distribution, Phit and Pmiss, Sum of Probabilities, Sense Function, Exact Motion, Move Function, Bayes Rule, Theorem of Total Probability.
Kalman Filters
- Gaussian Intro, Variance Comparison, Maximize Gaussian, Measurement and Motion, Parameter Update, New Mean-Variance, Gaussian Motion, Kalman Filter Code, Kalman Prediction, Kalman Filter Design, Kalman Matrices.
Particle Filters
- Slate Space, Belief Modality, Particle Filters, Using Robot Class, Robot World, Robot Particles.
Search
- Motion Planning, Compute Cost, Optimal Path, First Search Program, Expansion Grid, Dynamic Programming, Computing Value, Optimal Policy.
PID Control
- Robot Motion, Smoothing Algorithm, Path Smoothing, Zero Data Weight, Pid Control, Proportional Control, Implement P Controller, Oscillations, Pd Controller, Systematic Bias, Pid Implementation,Parameter Optimization.
SLAM (Simultaneous Localization and Mapping)
- Localization, Planning, Segmented Ste, Fun with Parameters, SLAM, Graph SLAM, Implementing Constraints, Adding Landmarks, Matrix Modification, Untouched Fields, Landmark Position, Confident Measurements, Implementing SLAM