LinkedIn Learning | Getting Started With AI And Machine Learning - 7 Courses
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[LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses Original course: https://www.linkedin.com/learning/paths/getting-started-with-ai-and-machine-learning Getting Started with AI and Machine Learning - Complete 7 Courses Updated Feb 2024 Are you ready to dive into the world of Artificial Intelligence and Machine Learning? This comprehensive learning path will equip you with the knowledge and skills to understand how AI and ML are shaping our world. Whether you're looking to enhance your career or simply stay informed, these courses are your gateway to mastering AI and ML concepts. What You'll Learn: - Understanding AI & ML: Get a solid grasp of how AI and ML work. - Industry Applications: Explore how top companies are leveraging these technologies. - Ethics & Security: Learn how AI addresses accountability, security, and more. Learning Path Details: - Total Duration: 9h 38m of rich content - 7 Expert-Led Courses: Covering everything from foundations to advanced applications. Course Breakdown: 1. Artificial Intelligence Foundations: Thinking Machines (1h 36m) - By Doug Rose (Updated Oct 2023) - Dive into the essentials of AI and its impact on society. 2. Machine Learning Foundations: Linear Algebra (1h 20m) - By Terezija Semenski (Aug 2022) - Master the mathematical foundations critical for ML algorithms. Learners: 32,913 3. Deep Learning: Getting Started (1h 13m) - By Kumaran Ponnambalam (Updated Jan 2024) - Learn the basics of deep learning and get started with this powerful technology. Learners: 50,165 4. Building Computer Vision Applications with Python (2h) - By Eduardo Corpeño (Aug 2022) - Create your own image processing applications in Python and deepen your understanding of computer vision. Learners: 16,196 5. Reinforcement Learning Foundations (44m) - By Khaulat Abdulhakeem (Updated Jan 2024) - Discover the principles behind reinforcement learning and its practical applications. 6. Hands-On PyTorch Machine Learning (56m) - By Helen Sun (Dec 2022) - Learn how to build machine learning models with the open-source framework, PyTorch. Learners: 12,808 7. Artificial Intelligence Foundations: Neural Networks (1h 45m) - By Gwendolyn Stripling (Sep 2023) - Delve into the workings of neural networks and their role in AI. Join the learning path today and embark on your AI and ML journey!
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Reinforcement Learning Foundations/2 - Reinforcement Learning Algorithms/3. Other RL algorithms.srt | 916 B |
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Building Computer Vision Applications with Python/description.html | 1.13 KiB |
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Hands-On PyTorch Machine Learning/0 - Introduction/1. Explore the capabilities of PyTorch.srt | 1.36 KiB |
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Building Computer Vision Applications with Python/3 - From Color to Black and White/5. Challenge Removing color.srt | 1.37 KiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/5. Monte Carlo control.srt | 1.4 KiB |
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Reinforcement Learning Foundations/5 - Modified Forms of Reinforcement/3. Inverse reinforcement learning.srt | 1.76 KiB |
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Building Computer Vision Applications with Python/5 - Image Scaling/6. Solution Resize a picture.srt | 1.78 KiB |
Reinforcement Learning Foundations/2 - Reinforcement Learning Algorithms/2. Temporal difference methods.srt | 1.8 KiB |
Reinforcement Learning Foundations/4 - Temporal Difference Methods/1. The setting.srt | 1.82 KiB |
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Building Computer Vision Applications with Python/6 - Fun with Cuts/5. Solution Stitch two pictures together.srt | 1.88 KiB |
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Building Computer Vision Applications with Python/7 - Morphological Modifications/5. Solution Help a robot.srt | 1.98 KiB |
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Building Computer Vision Applications with Python/0 - Introduction/1. Computer vision under the hood.srt | 2.1 KiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/1. The setting.srt | 2.1 KiB |
Deep Learning Getting Started/3 - Training a Neural Network/2. Forward propagation.srt | 2.13 KiB |
Building Computer Vision Applications with Python/0 - Introduction/2. What you should know.srt | 2.13 KiB |
Reinforcement Learning Foundations/5 - Modified Forms of Reinforcement/1. Deep reinforcement learning.srt | 2.2 KiB |
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Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/6. Solution Manually tune hyperparameters.srt | 2.47 KiB |
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Deep Learning Getting Started/1 - Introduction to Deep Learning/4. The perceptron.srt | 2.6 KiB |
Artificial Intelligence Foundations Neural Networks/6 - Conclusion/1. Next steps.srt | 2.6 KiB |
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Building Computer Vision Applications with Python/5 - Image Scaling/3. Image upscaling methods.srt | 2.76 KiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/3. Open and close.srt | 2.77 KiB |
Reinforcement Learning Foundations/6 - Conclusion/1. Your reinforcement learning journey.srt | 2.8 KiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/4. Data preprocessing.srt | 2.8 KiB |
Deep Learning Getting Started/2 - Neural Network Architecture/2. Hidden layers.srt | 2.82 KiB |
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Building Computer Vision Applications with Python/2 - The Basics of Image Processing/5. Rotations and flips.srt | 2.87 KiB |
Building Computer Vision Applications with Python/4 - Filters/4. Gaussian filters.srt | 2.89 KiB |
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Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/1. Defining linear algebra.srt | 3.46 KiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/4. Challenge Help a robot.srt | 3.46 KiB |
Artificial Intelligence Foundations Neural Networks/1 - What Are Neural Networks/2. Biological neural networks.srt | 3.47 KiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/2. Exploration and exploitation.srt | 3.51 KiB |
Deep Learning Getting Started/2 - Neural Network Architecture/4. Activation functions.srt | 3.53 KiB |
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/4. A basic RL solution.srt | 3.54 KiB |
Hands-On PyTorch Machine Learning/1 - Preparation/3. PyTorch use case description.srt | 3.59 KiB |
Deep Learning Getting Started/0 - Introduction/3. Setting up the environment.srt | 3.63 KiB |
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Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/3. Data checks and data preparation.srt | 3.71 KiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/7. Solution Manipulate some pictures.srt | 3.72 KiB |
Deep Learning Getting Started/3 - Training a Neural Network/3. Measuring accuracy and error.srt | 3.76 KiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/2. Understand PyTorch basic operations.srt | 3.81 KiB |
Deep Learning Getting Started/6 - Deep Learning Exercise/1. Exercise problem statement.srt | 3.85 KiB |
Deep Learning Getting Started/3 - Training a Neural Network/4. Back propagation.srt | 3.85 KiB |
Machine Learning Foundations Linear Algebra/4 - Introduction to Matrices/1. Matrices introduction.srt | 3.85 KiB |
Deep Learning Getting Started/3 - Training a Neural Network/6. Batches and epochs.srt | 3.9 KiB |
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Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/3. Inverse and determinant.srt | 3.94 KiB |
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/4. Gram–Schmidt process.srt | 3.96 KiB |
Machine Learning Foundations Linear Algebra/7 - Eigenvalues and Eigenvectors/1. Introduction to eigenvalues and eigenvectors.srt | 3.98 KiB |
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Deep Learning Getting Started/1 - Introduction to Deep Learning/6. Training an ANN.srt | 4.05 KiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/3. Converting grayscale to black and white.srt | 4.11 KiB |
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Building Computer Vision Applications with Python/5 - Image Scaling/2. Downscaling example.srt | 4.63 KiB |
Reinforcement Learning Foundations/2 - Reinforcement Learning Algorithms/1. Monte Carlo method.srt | 4.75 KiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/3. Cuts in panoramic photography.srt | 4.75 KiB |
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Artificial Intelligence Foundations Neural Networks/2 - Key Components in Neural Network Architecture/3. Transfer and activation functions.srt | 4.96 KiB |
Building Computer Vision Applications with Python/5 - Image Scaling/4. Upscaling example.srt | 4.96 KiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/1. Understand PyTorch tensors.srt | 4.99 KiB |
Hands-On PyTorch Machine Learning/5 - Torchtext/1. Torchtext introduction.srt | 5.01 KiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/1. Average grayscale.srt | 5.04 KiB |
Artificial Intelligence Foundations Thinking Machines/6 - What Has Changed/3. Self-supervised learning.srt | 5.21 KiB |
Artificial Intelligence Foundations Neural Networks/1 - What Are Neural Networks/4. Single-layer perceptron.srt | 5.28 KiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/2. Erosion and dilation.srt | 5.3 KiB |
Hands-On PyTorch Machine Learning/4 - Torchaudio/2. Torchaudio for audio understanding.srt | 5.36 KiB |
Hands-On PyTorch Machine Learning/1 - Preparation/4. PyTorch data exploration.srt | 5.45 KiB |
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Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/7. Solution Build a neural network.srt | 5.48 KiB |
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Building Computer Vision Applications with Python/1 - Setting Up Your Environment/2. Testing your environment.srt | 5.49 KiB |
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/2. Vector arithmetic.srt | 5.52 KiB |
Artificial Intelligence Foundations Thinking Machines/6 - What Has Changed/2. Foundation models.srt | 5.54 KiB |
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/3. Transformer architecture.srt | 5.58 KiB |
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Building Computer Vision Applications with Python/4 - Filters/1. Convolution filters.srt | 6.3 KiB |
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/3. Changing basis of vectors.srt | 6.43 KiB |
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/2. A basic RL problem.srt | 6.68 KiB |
Reinforcement Learning Foundations/4 - Temporal Difference Methods/2. SARSA.srt | 6.81 KiB |
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Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/3. Markov decision process.srt | 6.97 KiB |
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Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/2. Artificial neural networks.srt | 7.86 KiB |
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Artificial Intelligence Foundations Thinking Machines/7 - Avoiding Pitfalls/1. Pitfalls.srt | 8.22 KiB |
Artificial Intelligence Foundations Thinking Machines/1 - What Is Artificial Intelligence/3. Strong vs. weak AI.srt | 8.26 KiB |
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/1. Machine learning.srt | 8.28 KiB |
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Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.srt | 8.38 KiB |
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Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/3. Perceptrons.srt | 8.49 KiB |
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/5. Regression.srt | 8.93 KiB |
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/2. Recurrent neural networks (RNN).srt | 9.82 KiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.srt | 9.87 KiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/4. Regularization techniques to improve overfitting models.srt | 11.31 KiB |
Hands-On PyTorch Machine Learning/3 - Torchvision/1. Torchvision introduction.srt | 12.03 KiB |
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/1. Convolutional neural networks (CNN).srt | 12.21 KiB |
Machine Learning Foundations Linear Algebra/Ex_Files_ML_Foundations_Linear_Algebra.zip | 33.35 KiB |
Deep Learning Getting Started/Ex_Files_Deep_Learning_Getting_Started.zip | 102.95 KiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/5. Challenge Manually tune hyperparameters.mp4 | 1.12 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/6. Challenge Build a neural network.mp4 | 1.27 MiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/5. Monte Carlo control.mp4 | 1.41 MiB |
Deep Learning Getting Started/7 - Conclusion/1. Extending your deep learning education.mp4 | 1.54 MiB |
Artificial Intelligence Foundations Neural Networks/0 - Introduction/2. What you should know.mp4 | 1.6 MiB |
Hands-On PyTorch Machine Learning/6 - Conclusion/1. Continuing your PyTorch learning process.mp4 | 1.73 MiB |
Reinforcement Learning Foundations/5 - Modified Forms of Reinforcement/2. Multi-agent reinforcement learning.mp4 | 1.77 MiB |
Building Computer Vision Applications with Python/0 - Introduction/3. Using the exercise files.mp4 | 1.78 MiB |
Building Computer Vision Applications with Python/8 - Conclusion/1. Next steps.mp4 | 1.82 MiB |
Building Computer Vision Applications with Python/1 - Setting Up Your Environment/1. Installing Anaconda and OpenCV.mp4 | 1.95 MiB |
Reinforcement Learning Foundations/5 - Modified Forms of Reinforcement/3. Inverse reinforcement learning.mp4 | 2.22 MiB |
Reinforcement Learning Foundations/2 - Reinforcement Learning Algorithms/2. Temporal difference methods.mp4 | 2.31 MiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/3. Monte Carlo prediction.mp4 | 2.42 MiB |
Machine Learning Foundations Linear Algebra/8 - Conclusion/1. Next steps.mp4 | 2.51 MiB |
Hands-On PyTorch Machine Learning/0 - Introduction/1. Explore the capabilities of PyTorch.mp4 | 2.54 MiB |
Deep Learning Getting Started/1 - Introduction to Deep Learning/4. The perceptron.mp4 | 2.6 MiB |
Artificial Intelligence Foundations Neural Networks/6 - Conclusion/1. Next steps.mp4 | 2.6 MiB |
Deep Learning Getting Started/1 - Introduction to Deep Learning/1. What is deep learning.mp4 | 2.65 MiB |
Deep Learning Getting Started/6 - Deep Learning Exercise/4. Predicting root causes with deep learning.mp4 | 2.68 MiB |
Building Computer Vision Applications with Python/0 - Introduction/2. What you should know.mp4 | 2.73 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/2. Forward propagation.mp4 | 2.81 MiB |
Artificial Intelligence Foundations Neural Networks/1 - What Are Neural Networks/3. Artificial neural networks.mp4 | 2.86 MiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/5. Challenge Removing color.mp4 | 2.89 MiB |
Building Computer Vision Applications with Python/5 - Image Scaling/5. Challenge Resize a picture.mp4 | 2.94 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/5. Gradient descent.mp4 | 3.03 MiB |
Deep Learning Getting Started/4 - Deep Learning Example 1/5. Saving and loading models.mp4 | 3.05 MiB |
Reinforcement Learning Foundations/2 - Reinforcement Learning Algorithms/3. Other RL algorithms.mp4 | 3.15 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/7. Validation and testing.mp4 | 3.22 MiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/1. The setting.mp4 | 3.22 MiB |
Deep Learning Getting Started/2 - Neural Network Architecture/5. The output layer.mp4 | 3.4 MiB |
Building Computer Vision Applications with Python/5 - Image Scaling/3. Image upscaling methods.mp4 | 3.49 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/8. An ANN model.mp4 | 3.51 MiB |
Hands-On PyTorch Machine Learning/1 - Preparation/3. PyTorch use case description.mp4 | 3.58 MiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/4. Challenge Stitch two pictures together.mp4 | 3.61 MiB |
Deep Learning Getting Started/6 - Deep Learning Exercise/3. Building the RCA model.mp4 | 3.62 MiB |
Reinforcement Learning Foundations/0 - Introduction/1. Reinforcement learning in a nutshell.mp4 | 3.67 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/4. Data preprocessing.mp4 | 3.67 MiB |
Deep Learning Getting Started/5 - Deep Learning Example 2/1. Spam classification problem.mp4 | 3.72 MiB |
Artificial Intelligence Foundations Neural Networks/0 - Introduction/3. How to use the challenge exercise files.mp4 | 3.72 MiB |
Deep Learning Getting Started/2 - Neural Network Architecture/4. Activation functions.mp4 | 3.91 MiB |
Deep Learning Getting Started/0 - Introduction/1. Getting started with deep learning.mp4 | 3.96 MiB |
Deep Learning Getting Started/6 - Deep Learning Exercise/2. Preprocessing RCA data.mp4 | 4.02 MiB |
Deep Learning Getting Started/5 - Deep Learning Example 2/4. Predictions for text.mp4 | 4.1 MiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/6. Solution Removing color.mp4 | 4.15 MiB |
Building Computer Vision Applications with Python/5 - Image Scaling/1. Image downscaling methods.mp4 | 4.2 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/9. Reusing existing network architectures.mp4 | 4.22 MiB |
Artificial Intelligence Foundations Thinking Machines/8 - Conclusion/1. Next steps.mp4 | 4.25 MiB |
Reinforcement Learning Foundations/5 - Modified Forms of Reinforcement/1. Deep reinforcement learning.mp4 | 4.29 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/10. Using available open-source models.mp4 | 4.31 MiB |
Artificial Intelligence Foundations Neural Networks/0 - Introduction/1. Neural networks 101 Your path to AI brilliance.mp4 | 4.4 MiB |
Hands-On PyTorch Machine Learning/3 - Torchvision/2. Torchvision for video and image understanding.mp4 | 4.46 MiB |
Deep Learning Getting Started/1 - Introduction to Deep Learning/3. An analogy for deep learning.mp4 | 4.49 MiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/6. Additional modifications.mp4 | 4.54 MiB |
Artificial Intelligence Foundations Neural Networks/2 - Key Components in Neural Network Architecture/2. Layers Input, hidden, and output.mp4 | 4.54 MiB |
Deep Learning Getting Started/4 - Deep Learning Example 1/6. Predictions with deep learning models.mp4 | 4.59 MiB |
Deep Learning Getting Started/2 - Neural Network Architecture/2. Hidden layers.mp4 | 4.63 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/3. Data checks and data preparation.mp4 | 4.71 MiB |
Deep Learning Getting Started/4 - Deep Learning Example 1/1. The Iris classification problem.mp4 | 4.71 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/3. Measuring accuracy and error.mp4 | 4.73 MiB |
Building Computer Vision Applications with Python/4 - Filters/6. Challenge Convolution filters.mp4 | 4.76 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/4. Back propagation.mp4 | 4.79 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/6. Batches and epochs.mp4 | 4.8 MiB |
Deep Learning Getting Started/0 - Introduction/2. Prerequisites for the course.mp4 | 4.86 MiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/5. Advanced PyTorch autograd.mp4 | 5.01 MiB |
Artificial Intelligence Foundations Neural Networks/1 - What Are Neural Networks/2. Biological neural networks.mp4 | 5.04 MiB |
Reinforcement Learning Foundations/4 - Temporal Difference Methods/1. The setting.mp4 | 5.19 MiB |
Deep Learning Getting Started/1 - Introduction to Deep Learning/6. Training an ANN.mp4 | 5.2 MiB |
Deep Learning Getting Started/5 - Deep Learning Example 2/3. Building a spam model.mp4 | 5.24 MiB |
Machine Learning Foundations Linear Algebra/0 - Introduction/2. What you should know.mp4 | 5.35 MiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/4. Understand PyTorch autograd.mp4 | 5.42 MiB |
Deep Learning Getting Started/1 - Introduction to Deep Learning/2. Linear regression.mp4 | 5.56 MiB |
Deep Learning Getting Started/2 - Neural Network Architecture/3. Weights and biases.mp4 | 5.61 MiB |
Artificial Intelligence Foundations Neural Networks/2 - Key Components in Neural Network Architecture/3. Transfer and activation functions.mp4 | 5.72 MiB |
Deep Learning Getting Started/3 - Training a Neural Network/1. Setup and initialization.mp4 | 5.75 MiB |
Deep Learning Getting Started/1 - Introduction to Deep Learning/5. Artificial neural networks.mp4 | 5.78 MiB |
Deep Learning Getting Started/6 - Deep Learning Exercise/1. Exercise problem statement.mp4 | 5.84 MiB |
Deep Learning Getting Started/2 - Neural Network Architecture/1. The input layer.mp4 | 5.88 MiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/2. Hyperparameters and neural networks.mp4 | 5.98 MiB |
Deep Learning Getting Started/0 - Introduction/3. Setting up the environment.mp4 | 5.99 MiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/6. Solution Manually tune hyperparameters.mp4 | 6.08 MiB |
Building Computer Vision Applications with Python/5 - Image Scaling/6. Solution Resize a picture.mp4 | 6.1 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/5. Rotations and flips.mp4 | 6.14 MiB |
Reinforcement Learning Foundations/6 - Conclusion/1. Your reinforcement learning journey.mp4 | 6.16 MiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/2. Weighted grayscale.mp4 | 6.22 MiB |
Building Computer Vision Applications with Python/4 - Filters/7. Solution Convolution filters.mp4 | 6.22 MiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/3. How do you improve model performance.mp4 | 6.24 MiB |
Artificial Intelligence Foundations Neural Networks/1 - What Are Neural Networks/4. Single-layer perceptron.mp4 | 6.41 MiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/5. Solution Stitch two pictures together.mp4 | 6.43 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/1. The Keras Sequential model.mp4 | 6.52 MiB |
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/3. Orthogonal matrix.mp4 | 6.55 MiB |
Hands-On PyTorch Machine Learning/4 - Torchaudio/1. Torchaudio introduction.mp4 | 6.57 MiB |
Artificial Intelligence Foundations Neural Networks/2 - Key Components in Neural Network Architecture/1. Multilayer perceptron.mp4 | 6.74 MiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/4. First visit and every visit MC prediction.mp4 | 6.82 MiB |
Hands-On PyTorch Machine Learning/Ex_Files_Hands_On_PyTorch_ML.zip | 6.84 MiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/1. Overfitting and underfitting Two common ANN problems.mp4 | 6.89 MiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/1. Understand PyTorch tensors.mp4 | 7.04 MiB |
Reinforcement Learning Foundations/4 - Temporal Difference Methods/4. Expected SARSA.mp4 | 7.06 MiB |
Artificial Intelligence Foundations Thinking Machines/0 - Introduction/1. Welcome.mp4 | 7.06 MiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/3. Open and close.mp4 | 7.14 MiB |
Deep Learning Getting Started/5 - Deep Learning Example 2/2. Creating text representations.mp4 | 7.14 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/6. Challenge Manipulate some pictures.mp4 | 7.25 MiB |
Building Computer Vision Applications with Python/0 - Introduction/1. Computer vision under the hood.mp4 | 7.37 MiB |
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/1. Matrices changing basis.mp4 | 7.39 MiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/2. Understand PyTorch basic operations.mp4 | 7.49 MiB |
Reinforcement Learning Foundations/3 - Monte Carlo Method/2. Exploration and exploitation.mp4 | 7.71 MiB |
Hands-On PyTorch Machine Learning/1 - Preparation/1. PyTorch overview.mp4 | 7.73 MiB |
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/3. Transformer architecture.mp4 | 7.79 MiB |
Hands-On PyTorch Machine Learning/5 - Torchtext/1. Torchtext introduction.mp4 | 7.87 MiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/5. Solution Help a robot.mp4 | 7.91 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/2. Color encoding.mp4 | 7.92 MiB |
Deep Learning Getting Started/4 - Deep Learning Example 1/3. Creating a deep learning model.mp4 | 8.1 MiB |
Hands-On PyTorch Machine Learning/2 - PyTorch Basics/3. Understand PyTorch NumPy Bridge.mp4 | 8.1 MiB |
Building Computer Vision Applications with Python/4 - Filters/4. Gaussian filters.mp4 | 8.2 MiB |
Machine Learning Foundations Linear Algebra/4 - Introduction to Matrices/1. Matrices introduction.mp4 | 8.38 MiB |
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/3. Inverse and determinant.mp4 | 8.39 MiB |
Building Computer Vision Applications with Python/4 - Filters/1. Convolution filters.mp4 | 8.48 MiB |
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/4. A basic RL solution.mp4 | 8.59 MiB |
Machine Learning Foundations Linear Algebra/0 - Introduction/1. Introduction.mp4 | 8.62 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/4. Resolution.mp4 | 8.77 MiB |
Artificial Intelligence Foundations Neural Networks/1 - What Are Neural Networks/1. Machine learning and neural networks.mp4 | 8.82 MiB |
Machine Learning Foundations Linear Algebra/4 - Introduction to Matrices/3. Types of matrix transformation.mp4 | 8.87 MiB |
Artificial Intelligence Foundations Neural Networks/2 - Key Components in Neural Network Architecture/4. How neural networks learn.mp4 | 8.91 MiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/4. Challenge Help a robot.mp4 | 9.03 MiB |
Reinforcement Learning Foundations/4 - Temporal Difference Methods/3. SARSAMAX (Q-learning).mp4 | 9.14 MiB |
Deep Learning Getting Started/4 - Deep Learning Example 1/2. Input preprocessing.mp4 | 9.4 MiB |
Deep Learning Getting Started/4 - Deep Learning Example 1/4. Training and evaluation.mp4 | 9.43 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/7. Solution Manipulate some pictures.mp4 | 9.54 MiB |
Machine Learning Foundations Linear Algebra/4 - Introduction to Matrices/2. Types of matrices.mp4 | 9.62 MiB |
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/2. Gaussian elimination and finding the inverse matrix.mp4 | 9.73 MiB |
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/3. Coordinate system.mp4 | 9.79 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/2. Use case and determine evaluation metric.mp4 | 9.85 MiB |
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/1. Terms in reinforcement learning.mp4 | 10.22 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/5. Train the neural network using Keras.mp4 | 10.33 MiB |
Machine Learning Foundations Linear Algebra/7 - Eigenvalues and Eigenvectors/1. Introduction to eigenvalues and eigenvectors.mp4 | 10.39 MiB |
Artificial Intelligence Foundations Thinking Machines/1 - What Is Artificial Intelligence/2. The history of AI.mp4 | 10.4 MiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/3. Converting grayscale to black and white.mp4 | 10.45 MiB |
Building Computer Vision Applications with Python/1 - Setting Up Your Environment/2. Testing your environment.mp4 | 10.56 MiB |
Artificial Intelligence Foundations Neural Networks/4 - Build a Simple Neural Network Using Keras/7. Solution Build a neural network.mp4 | 10.76 MiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/1. Average grayscale.mp4 | 10.88 MiB |
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/4. Gram–Schmidt process.mp4 | 11.08 MiB |
Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/1. Defining linear algebra.mp4 | 11.17 MiB |
Building Computer Vision Applications with Python/4 - Filters/2. Average filters.mp4 | 11.36 MiB |
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/2. Data vs. reasoning.mp4 | 11.39 MiB |
Building Computer Vision Applications with Python/5 - Image Scaling/2. Downscaling example.mp4 | 11.39 MiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/2. Erosion and dilation.mp4 | 11.42 MiB |
Artificial Intelligence Foundations Thinking Machines/6 - What Has Changed/3. Self-supervised learning.mp4 | 11.42 MiB |
Machine Learning Foundations Linear Algebra/7 - Eigenvalues and Eigenvectors/2. Calculating eigenvalues and eigenvectors.mp4 | 11.5 MiB |
Building Computer Vision Applications with Python/5 - Image Scaling/4. Upscaling example.mp4 | 11.66 MiB |
Artificial Intelligence Foundations Thinking Machines/6 - What Has Changed/1. Generative AI.mp4 | 11.67 MiB |
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/3. The Internet of Things.mp4 | 11.72 MiB |
Machine Learning Foundations Linear Algebra/4 - Introduction to Matrices/4. Composition or combination of matrix transformations.mp4 | 11.76 MiB |
Artificial Intelligence Foundations Neural Networks/5 - Best Practices for Optimizing a Neural Network/4. Regularization techniques to improve overfitting models.mp4 | 11.83 MiB |
Artificial Intelligence Foundations Thinking Machines/1 - What Is Artificial Intelligence/1. Define general intelligence.mp4 | 11.92 MiB |
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/4. Basis, linear independence, and span.mp4 | 12.04 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/1. Image representation.mp4 | 12.07 MiB |
Hands-On PyTorch Machine Learning/1 - Preparation/4. PyTorch data exploration.mp4 | 12.13 MiB |
Reinforcement Learning Foundations/2 - Reinforcement Learning Algorithms/1. Monte Carlo method.mp4 | 12.18 MiB |
Artificial Intelligence Foundations Thinking Machines/7 - Avoiding Pitfalls/1. Pitfalls.mp4 | 12.31 MiB |
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/1. Dot product of vectors.mp4 | 12.4 MiB |
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/2. Vector arithmetic.mp4 | 12.4 MiB |
Machine Learning Foundations Linear Algebra/7 - Eigenvalues and Eigenvectors/4. Google PageRank algorithm.mp4 | 12.42 MiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/3. Cuts in panoramic photography.mp4 | 12.47 MiB |
Artificial Intelligence Foundations Thinking Machines/6 - What Has Changed/2. Foundation models.mp4 | 12.6 MiB |
Artificial Intelligence Foundations Thinking Machines/5 - Mixing with Other Technologies/1. Big data.mp4 | 12.7 MiB |
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/2. Recurrent neural networks (RNN).mp4 | 12.8 MiB |
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/4. Backpropagation.mp4 | 12.96 MiB |
Artificial Intelligence Foundations Thinking Machines/1 - What Is Artificial Intelligence/3. Strong vs. weak AI.mp4 | 12.99 MiB |
Hands-On PyTorch Machine Learning/1 - Preparation/2. PyTorch environment setup.mp4 | 13.03 MiB |
Artificial Intelligence Foundations Thinking Machines/5 - Mixing with Other Technologies/2. Data science.mp4 | 13.06 MiB |
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/2. Artificial neural networks.mp4 | 13.08 MiB |
Machine Learning Foundations Linear Algebra/7 - Eigenvalues and Eigenvectors/3. Changing to the eigenbasis.mp4 | 13.17 MiB |
Hands-On PyTorch Machine Learning/4 - Torchaudio/2. Torchaudio for audio understanding.mp4 | 13.23 MiB |
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/5. Regression.mp4 | 13.54 MiB |
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/3. Unsupervised learning.mp4 | 13.63 MiB |
Hands-On PyTorch Machine Learning/3 - Torchvision/1. Torchvision introduction.mp4 | 13.69 MiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/1. Image cuts.mp4 | 13.72 MiB |
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/2. Scalar and vector projection.mp4 | 13.76 MiB |
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/1. Machine learning.mp4 | 13.77 MiB |
Building Computer Vision Applications with Python/7 - Morphological Modifications/1. Why modify objects.mp4 | 13.84 MiB |
Artificial Intelligence Foundations Thinking Machines/1 - What Is Artificial Intelligence/4. Plan AI.mp4 | 13.88 MiB |
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/3. Perceptrons.mp4 | 14.13 MiB |
Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp4 | 14.19 MiB |
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/1. Robotics.mp4 | 14.21 MiB |
Hands-On PyTorch Machine Learning/5 - Torchtext/2. Torchtext for translation.mp4 | 14.33 MiB |
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/2. Transforming to the new basis.mp4 | 14.42 MiB |
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/2. Natural language processing.mp4 | 14.47 MiB |
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/2. A basic RL problem.mp4 | 15.11 MiB |
Reinforcement Learning Foundations/4 - Temporal Difference Methods/2. SARSA.mp4 | 15.19 MiB |
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/1. Convolutional neural networks (CNN).mp4 | 15.58 MiB |
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/1. Match patterns.mp4 | 15.58 MiB |
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/1. Solving linear equations using Gaussian elimination.mp4 | 17.05 MiB |
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/3. Changing basis of vectors.mp4 | 17.13 MiB |
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/3. Markov decision process.mp4 | 17.38 MiB |
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp4 | 19.14 MiB |
Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp4 | 20.95 MiB |
Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/2. Applications of linear algebra in ML.mp4 | 22.84 MiB |
Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp4 | 25.41 MiB |
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/1. Introduction to vectors.mp4 | 29.95 MiB |
Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp4 | 44.15 MiB |
Building Computer Vision Applications with Python/Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip | 145.77 MiB |