Simulating Mechanics using Large Language Models (GPTs) : A Guide to Virtual Prototyping
Machine learning with Pats
Simulating Mechanics using Large Language Models (GPTs) : A Guide to Virtual Prototyping
3:26
Developing a large language model (GPT) to optimize mechanical design
Machine learning with Pats
Developing a large language model (GPT) to optimize mechanical design
2:40
Robot & Machine Learning: Supervised vs. Unsupervised Fruit Recognition
Machine learning with Pats
Robot & Machine Learning: Supervised vs. Unsupervised Fruit Recognition
2:34
Concepts of training and testing data using scenarios like teaching a robot to recognize fruits
Machine learning with Pats
Concepts of training and testing data using scenarios like teaching a robot to recognize fruits
1:58
What is feature extraction? Pre requisite for lab 3: To extract features & establish training data
Machine learning with Pats
What is feature extraction? Pre requisite for lab 3: To extract features & establish training data
2:04
Lab 3: To extract features & establish training data in Python (Condition monitoring of an oil pump)
Machine learning with Pats
Lab 3: To extract features & establish training data in Python (Condition monitoring of an oil pump)
34:59
What is Triplex Hydraulic Pump? Pre requisite for lab 2: Acquire & visualize the dataset in Python
Machine learning with Pats
What is Triplex Hydraulic Pump? Pre requisite for lab 2: Acquire & visualize the dataset in Python
1:47
What is Condition Monitoring? Pre requisite for lab 2: Acquire & visualize the dataset in Python
Machine learning with Pats
What is Condition Monitoring? Pre requisite for lab 2: Acquire & visualize the dataset in Python
1:46
Lab 2: Acquire, visualize & analyze the dataset in Python (Condition monitoring of a hydraulic pump)
Machine learning with Pats
Lab 2: Acquire, visualize & analyze the dataset in Python (Condition monitoring of a hydraulic pump)
23:17
Numerical problem statments on Principal Component Analysis: 8 Applications from Mechanical Domain
Machine learning with Pats
Numerical problem statments on Principal Component Analysis: 8 Applications from Mechanical Domain
17:00
Scope of Mechanical Engineers in Industrial Analytics using AIML and Data Science
Machine learning with Pats
Scope of Mechanical Engineers in Industrial Analytics using AIML and Data Science
2:13
ML in Operations Engineers
Machine learning with Pats
ML in Operations Engineers
2:53
Difference between Digital Twin & Simulation Approach
Machine learning with Pats
Difference between Digital Twin & Simulation Approach
2:05
Some Digital Twin Projects for Mechanical Engineering Students
Machine learning with Pats
Some Digital Twin Projects for Mechanical Engineering Students
3:06
Build a digital twin of machines: A step by step procedure for beginners in 3 mins
Machine learning with Pats
Build a digital twin of machines: A step by step procedure for beginners in 3 mins
2:53
OpenAI's Sora: Future of video creation (Create realistic & imaginative scenes via text instruction)
Machine learning with Pats
OpenAI's Sora: Future of video creation (Create realistic & imaginative scenes via text instruction)
2:17
Machine Learning in Autonomous Vehicles: Overview and Career Opportunities
Machine learning with Pats
Machine Learning in Autonomous Vehicles: Overview and Career Opportunities
2:44
Autonomous Vehicles: V2X Communication (Vehicle-to-Everything) using Machine Learning
Machine learning with Pats
Autonomous Vehicles: V2X Communication (Vehicle-to-Everything) using Machine Learning
2:43
Autonomous Vehicles: Object Detection and Recognition with Machine Learning
Machine learning with Pats
Autonomous Vehicles: Object Detection and Recognition with Machine Learning
3:03
Autonomous Vehicles: Machine Learning for Behavior Prediction of Other Road Users
Machine learning with Pats
Autonomous Vehicles: Machine Learning for Behavior Prediction of Other Road Users
2:53
Autonomous Vehicles: Machine Learning for Path Adaptive Cruise Control and Collision Avoidance
Machine learning with Pats
Autonomous Vehicles: Machine Learning for Path Adaptive Cruise Control and Collision Avoidance
2:45
Autonomous Vehicles: Machine Learning for Path Planning & Decision Making
Machine learning with Pats
Autonomous Vehicles: Machine Learning for Path Planning & Decision Making
3:17
Skewness & Kurtosis as statistical features in Machine Fault Diagnosis using Machine Learning
Machine learning with Pats
Skewness & Kurtosis as statistical features in Machine Fault Diagnosis using Machine Learning
3:45
Decoding Mean, Mode, Median The 3M's of statistical features in Machine Learning
Machine learning with Pats
Decoding Mean, Mode, Median The 3M's of statistical features in Machine Learning
2:40
Understand Statistical Features in Machine Learning
Machine learning with Pats
Understand Statistical Features in Machine Learning
2:46
RoboTalk: Learning Styles (Supervised, Unsupervised & Reinforcement) Unplugged Over a Popcorn Party!
Machine learning with Pats
RoboTalk: Learning Styles (Supervised, Unsupervised & Reinforcement) Unplugged Over a Popcorn Party!
2:24
Approaches to ML - Supervised, Unsupervised & Reinforcement learning
Machine learning with Pats
Approaches to ML - Supervised, Unsupervised & Reinforcement learning
8:37
Quiz based on session Fun & Fumbles: Overfitting in Machine Learning Models! 🧠📝🤔
Machine learning with Pats
Quiz based on session Fun & Fumbles: Overfitting in Machine Learning Models! 🧠📝🤔
1:57
Adorable puppy could be mistaken for a cupcake? Model overfitting in ML : Fun & Fumbles 🎉🤪
Machine learning with Pats
Adorable puppy could be mistaken for a cupcake? Model overfitting in ML : Fun & Fumbles 🎉🤪
0:31
Model overfitting in ML (Belly or Donuts?) : Fun & Fumbles 🎉🤪
Machine learning with Pats
Model overfitting in ML (Belly or Donuts?) : Fun & Fumbles 🎉🤪
0:29
Model overfitting in ML (Sleeping Bed Overfitting) : Fun & Fumbles 🎉🤪
Machine learning with Pats
Model overfitting in ML (Sleeping Bed Overfitting) : Fun & Fumbles 🎉🤪
0:48
🚀 Unraveling my channel 🚀 Fun & Fumbles: Overfitting in Machine Learning Models
Machine learning with Pats
🚀 Unraveling my channel 🚀 Fun & Fumbles: Overfitting in Machine Learning Models
10:26
Introducing my new channel "Machine learning with Pats"
Machine learning with Pats
Introducing my new channel "Machine learning with Pats"
0:52