[LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses
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[LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses
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Torrent File Content (408 files)
[LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses
$10 ChatGPT for 1 Year & More.txt -
$10 ChatGPT for 1 Year & More.txt -
252 bytes
Artificial Intelligence Foundations Neural Networks
0 - Introduction/2. What you should know.srt -
0 - Introduction/2. What you should know.srt -
908 bytes
Reinforcement Learning Foundations
2 - Reinforcement Learning Algorithms/3. Other RL algorithms.srt -
2 - Reinforcement Learning Algorithms/3. Other RL algorithms.srt -
916 bytes
Deep Learning Getting Started
7 - Conclusion/1. Extending your deep learning education.srt -
7 - Conclusion/1. Extending your deep learning education.srt -
1.04 KB
Reinforcement Learning Foundations
description.html -
description.html -
1.04 KB
Hands-On PyTorch Machine Learning
description.html -
description.html -
1.06 KB
Artificial Intelligence Foundations Neural Networks
5 - Best Practices for Optimizing a Neural Network/5. Challenge Manually tune hyperparameters.srt -
5 - Best Practices for Optimizing a Neural Network/5. Challenge Manually tune hyperparameters.srt -
1.08 KB
Machine Learning Foundations Linear Algebra
description.html -
description.html -
1.1 KB
Building Computer Vision Applications with Python
description.html -
description.html -
1.13 KB
Machine Learning Foundations Linear Algebra
8 - Conclusion/1. Next steps.srt -
8 - Conclusion/1. Next steps.srt -
1.15 KB
Artificial Intelligence Foundations Neural Networks
4 - Build a Simple Neural Network Using Keras/6. Challenge Build a neural network.srt -
4 - Build a Simple Neural Network Using Keras/6. Challenge Build a neural network.srt -
1.18 KB
Building Computer Vision Applications with Python
8 - Conclusion/1. Next steps.srt -
8 - Conclusion/1. Next steps.srt -
1.18 KB
Deep Learning Getting Started
description.html -
description.html -
1.2 KB
6 - Deep Learning Exercise/3. Building the RCA model.srt -
1.21 KB
Artificial Intelligence Foundations Neural Networks
description.html -
description.html -
1.22 KB
Artificial Intelligence Foundations Thinking Machines
description.html -
description.html -
1.25 KB
Artificial Intelligence Foundations Neural Networks
0 - Introduction/1. Neural networks 101 Your path to AI brilliance.srt -
0 - Introduction/1. Neural networks 101 Your path to AI brilliance.srt -
1.26 KB
Hands-On PyTorch Machine Learning
0 - Introduction/1. Explore the capabilities of PyTorch.srt -
0 - Introduction/1. Explore the capabilities of PyTorch.srt -
1.36 KB
Building Computer Vision Applications with Python
5 - Image Scaling/5. Challenge Resize a picture.srt -
5 - Image Scaling/5. Challenge Resize a picture.srt -
1.36 KB
3 - From Color to Black and White/5. Challenge Removing color.srt -
1.37 KB
Reinforcement Learning Foundations
3 - Monte Carlo Method/5. Monte Carlo control.srt -
3 - Monte Carlo Method/5. Monte Carlo control.srt -
1.4 KB
Building Computer Vision Applications with Python
0 - Introduction/3. Using the exercise files.srt -
0 - Introduction/3. Using the exercise files.srt -
1.41 KB
3 - From Color to Black and White/6. Solution Removing color.srt -
1.46 KB
Reinforcement Learning Foundations
0 - Introduction/1. Reinforcement learning in a nutshell.srt -
0 - Introduction/1. Reinforcement learning in a nutshell.srt -
1.47 KB
Deep Learning Getting Started
6 - Deep Learning Exercise/4. Predicting root causes with deep learning.srt -
6 - Deep Learning Exercise/4. Predicting root causes with deep learning.srt -
1.47 KB
0 - Introduction/1. Getting started with deep learning.srt -
1.5 KB
6 - Deep Learning Exercise/2. Preprocessing RCA data.srt -
1.5 KB
Machine Learning Foundations Linear Algebra
0 - Introduction/1. Introduction.srt -
0 - Introduction/1. Introduction.srt -
1.52 KB
0 - Introduction/2. What you should know.srt -
1.63 KB
Building Computer Vision Applications with Python
1 - Setting Up Your Environment/1. Installing Anaconda and OpenCV.srt -
1 - Setting Up Your Environment/1. Installing Anaconda and OpenCV.srt -
1.67 KB
Reinforcement Learning Foundations
5 - Modified Forms of Reinforcement/2. Multi-agent reinforcement learning.srt -
5 - Modified Forms of Reinforcement/2. Multi-agent reinforcement learning.srt -
1.68 KB
Building Computer Vision Applications with Python
4 - Filters/7. Solution Convolution filters.srt -
4 - Filters/7. Solution Convolution filters.srt -
1.71 KB
6 - Fun with Cuts/4. Challenge Stitch two pictures together.srt -
1.74 KB
Reinforcement Learning Foundations
5 - Modified Forms of Reinforcement/3. Inverse reinforcement learning.srt -
5 - Modified Forms of Reinforcement/3. Inverse reinforcement learning.srt -
1.76 KB
Artificial Intelligence Foundations Thinking Machines
8 - Conclusion/1. Next steps.srt -
8 - Conclusion/1. Next steps.srt -
1.77 KB
Building Computer Vision Applications with Python
5 - Image Scaling/6. Solution Resize a picture.srt -
5 - Image Scaling/6. Solution Resize a picture.srt -
1.78 KB
Reinforcement Learning Foundations
2 - Reinforcement Learning Algorithms/2. Temporal difference methods.srt -
2 - Reinforcement Learning Algorithms/2. Temporal difference methods.srt -
1.8 KB
4 - Temporal Difference Methods/1. The setting.srt -
1.82 KB
Hands-On PyTorch Machine Learning
6 - Conclusion/1. Continuing your PyTorch learning process.srt -
6 - Conclusion/1. Continuing your PyTorch learning process.srt -
1.86 KB
Building Computer Vision Applications with Python
6 - Fun with Cuts/5. Solution Stitch two pictures together.srt -
6 - Fun with Cuts/5. Solution Stitch two pictures together.srt -
1.88 KB
Hands-On PyTorch Machine Learning
3 - Torchvision/2. Torchvision for video and image understanding.srt -
3 - Torchvision/2. Torchvision for video and image understanding.srt -
1.9 KB
Building Computer Vision Applications with Python
3 - From Color to Black and White/2. Weighted grayscale.srt -
3 - From Color to Black and White/2. Weighted grayscale.srt -
1.92 KB
4 - Filters/6. Challenge Convolution filters.srt -
1.94 KB
Deep Learning Getting Started
4 - Deep Learning Example 1/5. Saving and loading models.srt -
4 - Deep Learning Example 1/5. Saving and loading models.srt -
1.94 KB
Building Computer Vision Applications with Python
7 - Morphological Modifications/5. Solution Help a robot.srt -
7 - Morphological Modifications/5. Solution Help a robot.srt -
1.98 KB
Deep Learning Getting Started
5 - Deep Learning Example 2/3. Building a spam model.srt -
5 - Deep Learning Example 2/3. Building a spam model.srt -
1.98 KB
Artificial Intelligence Foundations Neural Networks
0 - Introduction/3. How to use the challenge exercise files.srt -
0 - Introduction/3. How to use the challenge exercise files.srt -
2.08 KB
Building Computer Vision Applications with Python
0 - Introduction/1. Computer vision under the hood.srt -
0 - Introduction/1. Computer vision under the hood.srt -
2.1 KB
Reinforcement Learning Foundations
3 - Monte Carlo Method/1. The setting.srt -
3 - Monte Carlo Method/1. The setting.srt -
2.1 KB
Deep Learning Getting Started
3 - Training a Neural Network/2. Forward propagation.srt -
+ Show all torrent content...3 - Training a Neural Network/2. Forward propagation.srt -
2.13 KB
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