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LinkedIn Learning Become an AI Engineer Complete 6 Courses

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Files:

Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 145.8 MB
description.html 1.1 KB
1. Tools for AI engineers to lead through change.mp4 4.9 MB
1. Tools for AI engineers to lead through change.srt 1.0 KB
1. Embarking on the AI journey.mp4 22.4 MB
1. Embarking on the AI journey.srt 5.7 KB
2. Software developer to AI engineer.mp4 41.3 MB
2. Software developer to AI engineer.srt 8.5 KB
3. Pairing cognition and context.mp4 37.2 MB
3. Pairing cognition and context.srt 7.7 KB
4. Coding Adaptable recipes.mp4 43.0 MB
4. Coding Adaptable recipes.srt 18.9 KB
1. AI's evolution is a lot like cooking's evolution.mp4 36.7 MB
1. AI's evolution is a lot like cooking's evolution.srt 7.4 KB
2. Coding Contextual recipes.mp4 38.9 MB
2. Coding Contextual recipes.srt 19.4 KB
3. Embracing failure is healthy.mp4 29.2 MB
3. Embracing failure is healthy.srt 6.8 KB
4. Coding Observable recipes.mp4 23.3 MB
4. Coding Observable recipes.srt 9.0 KB
5. Managing AI risks.mp4 18.6 MB
5. Managing AI risks.srt 5.3 KB
6. Coding Responsible recipes.mp4 23.3 MB
6. Coding Responsible recipes.srt 11.1 KB
7. Tell powerful stories.mp4 13.2 MB
7. Tell powerful stories.srt 3.3 KB
8. Coding Narrative-driven recipes.mp4 35.4 MB
8. Coding Narrative-driven recipes.srt 13.6 KB
1. Agent to multi-agents.mp4 21.4 MB
1. Agent to multi-agents.srt 5.2 KB
2. Coding Multi-agent recipes.mp4 29.0 MB
2. Coding Multi-agent recipes.srt 12.4 KB
1. Closing the kitchen.mp4 18.1 MB
1. Closing the kitchen.srt 3.8 KB
description.html 1.1 KB
Ex_Files_ML_with_Python_Foundations.zip 903.7 KB
1. Machine learning in our world.mp4 2.8 MB
1. Machine learning in our world.srt 1.3 KB
2. What you should know.mp4 1.3 MB
2. What you should know.srt 1.5 KB
3. The tools you need.mp4 1.7 MB
3. The tools you need.srt 2.0 KB
4. Using the exercise files.mp4 7.2 MB
4. Using the exercise files.srt 2.1 KB
1. What is machine learning.mp4 8.5 MB
1. What is machine learning.srt 7.2 KB
2. What is not machine learning.mp4 11.9 MB
2. What is not machine learning.srt 9.5 KB
3. What is unsupervised learning.mp4 6.3 MB
3. What is unsupervised learning.srt 4.9 KB
4. What is supervised learning.mp4 9.1 MB
4. What is supervised learning.srt 7.3 KB
5. What is reinforcement learning.mp4 12.6 MB
5. What is reinforcement learning.srt 10.3 KB
6. What are the steps to machine learning.mp4 17.6 MB
6. What are the steps to machine learning.srt 9.6 KB
1. Things to consider when collecting data.mp4 11.5 MB
1. Things to consider when collecting data.srt 7.0 KB
2. How to import data in Python.mp4 13.6 MB
2. How to import data in Python.srt 7.8 KB
1. Describe your data.mp4 7.1 MB
1. Describe your data.srt 5.9 KB
2. How to summarize data in Python.mp4 15.4 MB
2. How to summarize data in Python.srt 9.2 KB
3. Visualize your data.mp4 8.0 MB
3. Visualize your data.srt 6.8 KB
4. How to visualize data in Python.mp4 15.8 MB
4. How to visualize data in Python.srt 9.9 KB
1. Common data quality issues.mp4 8.0 MB
1. Common data quality issues.srt 7.0 KB
2. How to resolve missing data in Python.mp4 22.0 MB
2. How to resolve missing data in Python.srt 11.5 KB
3. Normalizing your data.mp4 9.7 MB
3. Normalizing your data.srt 7.6 KB
4. How to normalize data in Python.mp4 11.4 MB
4. How to normalize data in Python.srt 6.5 KB
5. Sampling your data.mp4 8.5 MB
5. Sampling your data.srt 8.0 KB
6. How to sample data in Python.mp4 16.7 MB
6. How to sample data in Python.srt 9.8 KB
7. Reducing the dimensionality of your data.mp4 6.8 MB
7. Reducing the dimensionality of your data.srt 6.9 KB
1. Classification vs. regression problems.mp4 7.0 MB
1. Classification vs. regression problems.srt 6.2 KB
2. How to build a machine learning model in Python.mp4 15.8 MB
2. How to build a machine learning model in Python.srt 8.6 KB
3. Common machine learning algorithms.mp4 12.5 MB
3. Common machine learning algorithms.srt 9.3 KB
1. Next steps with applied machine learning.mp4 3.8 MB
1. Next steps with applied machine learning.srt 4.3 KB
1. Full-stack deep learning, MLOps, and MLflow.mp4 9.9 MB
1. Full-stack deep learning, MLOps, and MLflow.srt 12.5 KB
2. Prerequisites.mp4 914.1 KB
2. Prerequisites.srt 1.1 KB
1. Introducing full-stack deep learning.mp4 7.9 MB
1. Introducing full-stack deep learning.srt 11.4 KB
2. Introducing MLOps.mp4 6.7 MB
2. Introducing MLOps.srt 7.6 KB
3. Introducing MLflow.mp4 6.4 MB
3. Introducing MLflow.srt 7.9 KB
4. Setting up the environment on Google Colab.mp4 12.8 MB
4. Setting up the environment on Google Colab.srt 9.2 KB
5. Running MLflow and using ngrok to access the MLflow UI.mp4 10.2 MB
description.html 1.1 KB
0. Join Our Discord for More Awesome Stuff!.txt 156 bytes
1. Computer vision under the hood.mp4 7.4 MB
1. Computer vision under the hood.srt 2.1 KB
2. What you should know.mp4 2.7 MB
2. What you should know.srt 2.1 KB
3. Using the exercise files.mp4 1.8 MB
3. Using the exercise files.srt 1.4 KB
1. Installing Anaconda and OpenCV.mp4 1.9 MB
1. Installing Anaconda and OpenCV.srt 1.7 KB
2. Testing your environment.mp4 10.6 MB
2. Testing your environment.srt 5.5 KB
1. Image representation.mp4 12.1 MB
1. Image representation.srt 5.8 KB
2. Color encoding.mp4 7.9 MB
2. Color encoding.srt 4.2 KB
3. Image file management.mp4 19.1 MB
3. Image file management.srt 8.4 KB
4. Resolution.mp4 8.8 MB
4. Resolution.srt 4.5 KB
5. Rotations and flips.mp4 6.1 MB
5. Rotations and flips.srt 2.9 KB
6. Challenge Manipulate some pictures.mp4 7.2 MB
6. Challenge Manipulate some pictures.srt 3.7 KB
7. Solution Manipulate some pictures.mp4 9.5 MB
7. Solution Manipulate some pictures.srt 3.7 KB
1. Average grayscale.mp4 10.9 MB
1. Average grayscale.srt 5.0 KB
2. Weighted grayscale.mp4 6.2 MB
2. Weighted grayscale.srt 1.9 KB
3. Converting grayscale to black and white.mp4 10.5 MB
3. Converting grayscale to black and white.srt 4.1 KB
4. Adaptive thresholding.mp4 20.9 MB
4. Adaptive thresholding.srt 7.2 KB
5. Challenge Removing color.mp4 2.9 MB
5. Challenge Removing color.srt 1.4 KB
6. Solution Removing color.mp4 4.2 MB
6. Solution Removing color.srt 1.5 KB
1. Convolution filters.mp4 8.5 MB
1. Convolution filters.srt 6.3 KB
2. Average filters.mp4 11.4 MB
2. Average filters.srt 4.2 KB
3. Median filters.mp4 25.4 MB
3. Median filters.srt 6.9 KB
4. Gaussian filters.mp4 8.2 MB
4. Gaussian filters.srt 2.9 KB
5. Edge detection filters.mp4 14.2 MB
5. Edge detection filters.srt 6.0 KB
6. Challenge Convolution filters.mp4 4.8 MB
6. Challenge Convolution filters.srt 1.9 KB
7. Solution Convolution filters.mp4 6.2 MB
7. Solution Convolution filters.srt 1.7 KB
1. Image downscaling methods.mp4 4.2 MB
1. Image downscaling methods.srt 3.3 KB
2. Downscaling example.mp4 11.4 MB
2. Downscaling example.srt 4.6 KB
3. Image upscaling methods.mp4 3.5 MB
3. Image upscaling methods.srt 2.8 KB
4. Upscaling example.mp4 11.7 MB
4. Upscaling example.srt 5.0 KB
5. Challenge Resize a picture.mp4 2.9 MB
5. Challenge Resize a picture.srt 1.4 KB
6. Solution Resize a picture.mp4 6.1 MB
6. Solution Resize a picture.srt 1.8 KB
1. Image cuts.mp4 13.7 MB
1. Image cuts.srt 5.8 KB
2. Stitching two images together.mp4 44.1 MB
2. Stitching two images together.srt 9.9 KB
3. Cuts in panoramic photography.mp4 12.5 MB
3. Cuts in panoramic photography.srt 4.8 KB
4. Challenge Stitch two pictures together.mp4 3.6 MB
4. Challenge Stitch two pictures together.srt 1.7 KB
5. Solution Stitch two pictures together.mp4 6.4 MB
5. Solution Stitch two pictures together.srt 1.9 KB
1. Why modify objects.mp4 13.8 MB
1. Why modify objects.srt 7.4 KB
2. Erosion and dilation.mp4 11.4 MB
2. Erosion and dilation.srt 5.3 KB
3. Open and close.mp4 7.1 MB
3. Open and close.srt 2.8 KB
4. Challenge Help a robot.mp4 9.0 MB
4. Challenge Help a robot.srt 3.5 KB
5. Solution Help a robot.mp4 7.9 MB
5. Solution Help a robot.srt 2.0 KB
1. Next steps.mp4 1.8 MB
1. Next steps.srt 1.2 KB
description.html 1.6 KB
Exercises_Link.txt 109 bytes
1. Creating a neural network in Python.mp4 14.0 MB
1. Creating a neural network in Python.srt 1.9 KB
2. What you should know.mp4 5.9 MB
2. What you should know.srt 2.3 KB
3. Using GitHub Codespaces with this course.mp4 21.6 MB
3. Using GitHub Codespaces with this course.srt 9.7 KB
1. What is a neural network.mp4 2.3 MB
1. What is a neural network.srt 2.5 KB
2. Why Python.mp4 3.8 MB
2. Why Python.srt 1.6 KB
3. The many applications of machine learning.mp4 20.0 MB
3. The many applications of machine learning.srt 7.0 KB
4. Types of classifiers.mp4 18.2 MB
4. Types of classifiers.srt 7.0 KB
5. Types of neural networks.mp4 13.2 MB
5. Types of neural networks.srt 4.3 KB
6. Multilayer perceptrons.mp4 7.8 MB
6. Multilayer perceptrons.srt 2.9 KB
1. Neurons and the brain.mp4 7.8 MB
1. Neurons and the brain.srt 3.2 KB
2. A simple model of a neuron.mp4 23.9 MB
2. A simple model of a neuron.srt 9.4 KB
3. Activation functions.mp4 27.3 MB
3. Activation functions.srt 9.8 KB
4. Perceptrons A better model of a neuron.mp4 11.3 MB
4. Perceptrons A better model of a neuron.srt 4.6 KB
5. Challenge Finish the perceptron.mp4 4.6 MB
5. Challenge Finish the perceptron.srt 1.9 KB
6. Solution Finish the perceptron.mp4 2.0 MB
6. Solution Finish the perceptron.srt 1.1 KB
7. Logic gates.mp4 13.4 MB
7. Logic gates.srt 5.2 KB
8. Challenge Logic gates with perceptrons.mp4 5.1 MB
8. Challenge Logic gates with perceptrons.srt 1.4 KB
9. Solution Logic gates with perceptrons.mp4 2.6 MB
9. Solution Logic gates with perceptrons.srt 1.5 KB
1. Linear separability.mp4 15.2 MB
1. Linear separability.srt 5.4 KB
2. Writing the multilayer perceptron class.mp4 9.5 MB
2. Writing the multilayer perceptron class.srt 4.2 KB
3. Challenge Finish the multilayer perceptron class.mp4 4.9 MB
3. Challenge Finish the multilayer perceptron class.srt 2.3 KB
4. Solution Finish the multilayer perceptron class.mp4 6.8 MB
4. Solution Finish the multilayer perceptron class.srt 3.3 KB
1. The need for training.mp4 20.2 MB
1. The need for training.srt 7.9 KB
2. The training process.mp4 15.5 MB
2. The training process.srt 6.2 KB
3. The error function.mp4 10.5 MB
3. The error function.srt 4.0 KB
4. Gradient descent.mp4 12.2 MB
4. Gradient descent.srt 4.6 KB
5. The Delta rule.mp4 15.3 MB
5. The Delta rule.srt 5.8 KB
6. The Backpropagation algorithm.mp4 40.8 MB
6. The Backpropagation algorithm.srt 13.9 KB
7. Challenge Write your own Backpropagation method.mp4 11.6 MB
7. Challenge Write your own Backpropagation method.srt 4.9 KB
8. Solution Write your own Backpropagation method.mp4 16.6 MB
8. Solution Write your own Backpropagation method.srt 6.7 KB
1. Segment display recognition.mp4 13.7 MB
1. Segment display recognition.srt 5.5 KB
2. Challenge Design your own SDR neural network.mp4 6.8 MB
2. Challenge Design your own SDR neural network.srt 2.3 KB
3. Solution Design your own SDR neural network.mp4 23.3 MB
3. Solution Design your own SDR neural network.srt 8.3 KB
4. Challenge Train your own SDR neural network.mp4 13.9 MB
4. Challenge Train your own SDR neural network.srt 5.5 KB
5. Solution Train your own SDR neural network.mp4 12.0 MB
5. Solution Train your own SDR neural network.srt 5.0 KB
6. 7 to 1 network GUI demo.mp4 16.9 MB
6. 7 to 1 network GUI demo.srt 6.8 KB
7. 7 to 10 network GUI demo.mp4 7.9 MB
7. 7 to 10 network GUI demo.srt 2.4 KB
8. 7 to 7 network GUI demo.mp4 11.5 MB
8. 7 to 7 network GUI demo.srt 4.3 KB
1. Next steps.mp4 3.1 MB
1. Next steps.srt 1.4 KB
description.html 1.2 KB
Ex_Files_NLP_TensorFlow.zip 529.0 KB
1. Leveraging deep learning for natural language processing.mp4 12.4 MB
1. Leveraging deep learning for natural language processing.srt 2.0 KB
1. Introduction to natural language processing.mp4 5.3 MB
1. Introduction to natural language processing.srt 4.9 KB
2. Introduction to word encodings.mp4 8.7 MB
2. Introduction to word encodings.srt 9.2 KB
3. Tokenization using TensorFlow.mp4 12.6 MB
3. Tokenization using TensorFlow.srt 12.2 KB
4. Padding the sequences.mp4 12.0 MB
4. Padding the sequences.srt 10.9 KB
5. Challenge Recognizing sarcasm in the text.mp4 4.5 MB
5. Challenge Recognizing sarcasm in the text.srt 3.3 KB
6. Solution Recognizing sarcasm in the text.mp4 5.0 MB
6. Solution Recognizing sarcasm in the text.srt 3.8 KB
1. Introduction to word embeddings.mp4 8.0 MB
1. Introduction to word embeddings.srt 6.6 KB
2. Classifying movie reviews using TensorFlow.mp4 25.5 MB
2. Classifying movie reviews using TensorFlow.srt 17.2 KB
3. Projecting vectors using TensorFlow.mp4 23.6 MB
3. Projecting vectors using TensorFlow.srt 7.7 KB
4. Building a text classifier.mp4 23.4 MB
4. Building a text classifier.srt 15.0 KB
5. Challenge Text classification.mp4 5.5 MB
5. Challenge Text classification.srt 2.4 KB
6. Solution Text classification.mp4 15.7 MB
6. Solution Text classification.srt 8.0 KB
1. Introduction to RNNs.mp4 8.2 MB
1. Introduction to RNNs.srt 8.4 KB
2. Implementing LSTMs with TensorFlow.mp4 17.0 MB
2. Implementing LSTMs with TensorFlow.srt 11.3 KB
3. Improving your movie review classifier.mp4 12.3 MB
3. Improving your movie review classifier.srt 8.0 KB
4. Challenge Yelp review classifier.mp4 4.8 MB
4. Challenge Yelp review classifier.srt 2.3 KB
5. Solution Yelp review classifier.mp4 11.1 MB
5. Solution Yelp review classifier.srt 6.0 KB
1. Introduction to text generation.mp4 9.7 MB
1. Introduction to text generation.srt 7.2 KB
2. Predicting the next word.mp4 21.4 MB
2. Predicting the next word.srt 14.0 KB
3. Challenge Generate poetry.mp4 5.1 MB
3. Challenge Generate poetry.srt 1.8 KB
4. Solution Generate poetry.mp4 19.6 MB
4. Solution Generate poetry.srt 11.3 KB
1. Learning more about NLP with TensorFlow.mp4 2.1 MB
1. Learning more about NLP with TensorFlow.srt 1.1 KB

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