CBTNuggets - Introduction to Machine Learning 2024-3

Creation Time	Dec. 28, 2024, 8:12 p.m.
Last Access Time	Jan. 7, 2025, 1:07 a.m.
File Size	28.9 GB
Keywords	CBTNuggets 2024-3 Introduction - Machine to Learning
Total Requests	17
Total Files	423
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55. Design Effective Prompts for Large Language Models/2. Iterative Prompt Engineering.mp4 206.9 MB
11. Examine Cost Functions and Parameter Tuning/6. Calculate Your Model's Performance.mp4 197.9 MB
52. Explore Multi-Label Classification with TensorFlow/2. Binary, Multi-Class, and Multi-Label Classification.mp4 195.8 MB
10. Apply Regression Concepts for Supervised Learning/3. Explore Linear Relationships Ordinary Least Squares.mp4 189.7 MB
3. Define What is Machine Learning/1. Introduction.mp4 185.3 MB
7. Define What is Machine Learning/1. Introduction.mp4 185.3 MB
21. Build a K-Nearest Neighbors Classifier/1. Introduction.mp4 178.4 MB
56. Implement LangChain in Language Model Workflows/3. Leverage LangChain Templating for Complex Prompts.mp4 178.1 MB
55. Design Effective Prompts for Large Language Models/5. Challenge Build The AutoBot ChatBot To Manage Orders.mp4 170.3 MB
9. Explore Data Pipelines and Linear Regression/5. Predicting Lumber Prices Feature Extraction.mp4 169.7 MB
4. Setup a Machine Learning Development Environment/2. Anaconda, Conda and Jupyter - Locally.mp4 164.7 MB
8. Setup a Machine Learning Development Environment/2. Locally.mp4 164.7 MB
1. Explore How AI Agents Navigate Driving Directions/2. What is Artificial Intelligence.mp4 163.1 MB
5. Explore How AI Agents Navigate Driving Directions/2. What is Artificial Intelligence.mp4 163.1 MB
28. Explore Gradient Descent & Back Propagation/6. Split The Train Test Datasets.mp4 162.3 MB
3. Define What is Machine Learning/2. What is Machine Learning.mp4 160.6 MB
7. Define What is Machine Learning/2. What is Machine Learning.mp4 160.6 MB
16. Implement Logistic Regression with Python/5. Implement Logistic Regression Part 1 Data Preprocessing, Cleaning, and Encoding .mp4 160.3 MB
62. Explore Transformer Encoders and Decoders/3. Attention Is All You Need (Optional).mp4 157.8 MB
17. Build a Python Decision Tree Classification Model/4. Introduction.mp4 155.7 MB
3. Define What is Machine Learning/3. Supervised.mp4 155.0 MB
7. Define What is Machine Learning/3. Supervised.mp4 155.0 MB
20. Build a Support Vector Machine Classifier/4. Data Loading and PreProcessing.mp4 151.3 MB
16. Implement Logistic Regression with Python/1. Introduction.mp4 150.8 MB
63. Examine the Fundamentals of HuggingFace/5. Spaces.mp4 147.0 MB
4. Setup a Machine Learning Development Environment/5. Cloud Services AWS, GCP, and Azure.mp4 146.2 MB
8. Setup a Machine Learning Development Environment/5. Cloud Services AWS, GCP, and Azure.mp4 146.2 MB
4. Setup a Machine Learning Development Environment/4. Google Colab.mp4 143.9 MB
8. Setup a Machine Learning Development Environment/4. Google Colab.mp4 143.9 MB
57. Implement LangChain Memory for Autonomous Tasks/7. Challenge Implement LangChain Memory.mp4 143.4 MB
3. Define What is Machine Learning/5. Build an Image Classifier.mp4 142.5 MB
7. Define What is Machine Learning/5. Build an Image Classifier.mp4 142.5 MB
23. Implement a Perceptron for Classification/4. Implement a Perceptron from Scratch.mp4 141.9 MB
1. Explore How AI Agents Navigate Driving Directions/3. Grand Search Auto.mp4 140.5 MB
5. Explore How AI Agents Navigate Driving Directions/3. Grand Search Auto.mp4 140.5 MB
63. Examine the Fundamentals of HuggingFace/3. Models.mp4 133.8 MB
55. Design Effective Prompts for Large Language Models/3. Build a Summarizer for Interesting Topics.mp4 133.8 MB
57. Implement LangChain Memory for Autonomous Tasks/6. The Power of Chaining LangChain Components.mp4 132.5 MB
17. Build a Python Decision Tree Classification Model/2. Introduction.mp4 132.1 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/3. Route Queries Using Classification for Different Cases.mp4 131.1 MB
58. Combine LangChain Components for Coherent Apps/6. RouterChain.mp4 130.9 MB
61. Use LangChain to Chat with PDFs and Documents/7. Challenge.mp4 130.3 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/7. Challenge Filter Inputs with a Chain of Thought Prompt Filter.mp4 130.1 MB
3. Define What is Machine Learning/6. Predicting Lumber Prices with Linear Regression.mp4 128.2 MB
7. Define What is Machine Learning/6. Predicting Lumber Prices with Linear Regression.mp4 128.2 MB
57. Implement LangChain Memory for Autonomous Tasks/2. ConversationBufferMemory.mp4 126.2 MB
50. Explore Multi-Class Classification with TensorFlow/2. Create a Teachable Machine Multi-Class Classifier.mp4 125.0 MB
12. Implement Gradient Descent for Linear Regression/5. Implementing The Gradient Descent Algorithm.mp4 123.3 MB
10. Apply Regression Concepts for Supervised Learning/5. Ordinary Least Squares with Matlab's PolyFit.mp4 122.7 MB
17. Build a Python Decision Tree Classification Model/5. Introduction.mp4 121.1 MB
9. Explore Data Pipelines and Linear Regression/2. What is a Machine Learning Model.mp4 120.1 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/5. Implement The OpenAI Moderation API.mp4 117.5 MB
43. Evaluate Regression Models with TensorFlow/5. Challenge Solution.mp4 114.6 MB
63. Examine the Fundamentals of HuggingFace/7. Challenge.mp4 113.0 MB
22. Explore Neural Network Basics With The Perceptron/6. Build A Simple Binary Perceptron Classifier.mp4 111.9 MB
23. Implement a Perceptron for Classification/3. The Perceptron Rule and Neurons.mp4 111.9 MB
28. Explore Gradient Descent & Back Propagation/1. Introduction.mp4 110.8 MB
51. Tune Multi-Class Classification TensorFlow Models/4. One-Hot Encode Features and Build Model.mp4 109.5 MB
42. Build a Simple Regression Model with TensorFlow/3. Build Model From Scratch.mp4 108.6 MB
63. Examine the Fundamentals of HuggingFace/1. Introduction.mp4 108.5 MB
41. Explore Neural Network Regression with TensorFlow/3. Neural Network Architecture.mp4 108.2 MB
42. Build a Simple Regression Model with TensorFlow/6. Solution Part 1.mp4 108.0 MB
28. Explore Gradient Descent & Back Propagation/7. Build a Linear Regression Model.mp4 106.7 MB
27. Apply PyTorch Tensor Manipulation and Indexing/2. Reshape, View, and Stack Tensors.mp4 105.9 MB
33. Explore Multi-class Classification with PyTorch/2. Review of Binary Classification with PyTorch.mp4 105.8 MB
15. Identify Key Classification Algorithms/1. Introduction.mp4 105.7 MB
14. Explore Feature Engineering and Data Preparation/3. Handling Missing Data.mp4 104.8 MB
18. Build a Python Random Forest Classification Model/4. Import Libraries, Feature Engineering and One-Hot Encoding.mp4 104.2 MB
41. Explore Neural Network Regression with TensorFlow/4. Build a Model.mp4 104.0 MB
2. Apply Probability to Real-World AI Problems/2. Probability of Rolling One 6-sided Die.mp4 103.9 MB
6. Apply Probability to Real-World AI Problems/2. Probability of Rolling One 6-sided Die.mp4 103.9 MB
4. Setup a Machine Learning Development Environment/1. Introduction.mp4 103.8 MB
8. Setup a Machine Learning Development Environment/1. Introduction.mp4 103.8 MB
44. Visualize and Evaluate Performance with TensorFlow/4. Split Data for Train and Test Datasets.mp4 103.4 MB
13. Vectorize Operations for Multiple Regression/5. Interpreting the Weights.mp4 101.3 MB
14. Explore Feature Engineering and Data Preparation/1. Introduction.mp4 100.2 MB
50. Explore Multi-Class Classification with TensorFlow/4. Load and Explore MNIST Fashion Dataset.mp4 99.7 MB
1. Explore How AI Agents Navigate Driving Directions/6. Breadth-First Search.mp4 98.8 MB
5. Explore How AI Agents Navigate Driving Directions/6. Breadth-First Search.mp4 98.8 MB
53. Explore The Fundamentals of Large Language Models/2. What is a Large Language Model (LLM).mp4 98.6 MB
49. Evaluate TensorFlow Classification Models/4. Adaptive Learning Rates part 3.mp4 97.9 MB
59. Build Task-Driven Autonomous Agents with LangChain/7. Debugging with LangChain.mp4 97.8 MB
60. Use LangChain to Interact with PDFs and Documents/6. Vector Stores.mp4 97.7 MB
26. Explore Fundamental PyTorch Tensor Operations/2. Review Matrix Multiplication Errors.mp4 97.2 MB
56. Implement LangChain in Language Model Workflows/2. Compare Direct API Calls Vs. API Calls Through LangChain - LangChain API Call.mp4 96.6 MB
46. Explore TensorFlow Neural Network Classification/2. What is Classification.mp4 96.5 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/6. Sanitize and Validate Inputs Injection Attacks.mp4 95.9 MB
9. Explore Data Pipelines and Linear Regression/3. Predicting Lumber Prices Data Collection.mp4 95.6 MB
13. Vectorize Operations for Multiple Regression/1. Introduction.mp4 94.9 MB
41. Explore Neural Network Regression with TensorFlow/6. Solution Video.mp4 94.8 MB
10. Apply Regression Concepts for Supervised Learning/1. Introduction.mp4 91.5 MB
23. Implement a Perceptron for Classification/7. Bonus Resources.mp4 91.2 MB
19. Apply Regularization to Overcome Overfitting/1. Introduction.mp4 90.2 MB
48. Build a TensorFlow Classifier with Non-Linearity/5. Create Fourth Model.mp4 90.2 MB
56. Implement LangChain in Language Model Workflows/6. Video Solution.mp4 89.2 MB
13. Vectorize Operations for Multiple Regression/4. Non-Vectorized Operations.mp4 88.1 MB
14. Explore Feature Engineering and Data Preparation/6. Define, Split and Scale Features.mp4 88.1 MB
46. Explore TensorFlow Neural Network Classification/7. Challenge.mp4 86.7 MB
17. Build a Python Decision Tree Classification Model/1. Introduction.mp4 85.8 MB
15. Identify Key Classification Algorithms/2. From Regression to Classification.mp4 85.5 MB
46. Explore TensorFlow Neural Network Classification/1. Introduction.mp4 85.4 MB
12. Implement Gradient Descent for Linear Regression/4. Gradient Descent Behind the Scenes.mp4 85.4 MB
59. Build Task-Driven Autonomous Agents with LangChain/1. Introduction.mp4 85.4 MB
58. Combine LangChain Components for Coherent Apps/1. Introduction.mp4 85.3 MB
30. Implement a Logistic Regression Model with PyTorch/7. Challenge Part 3 Bonus Self-Graded Take-Home Challenge.mp4 85.3 MB
9. Explore Data Pipelines and Linear Regression/1. Introduction.mp4 84.8 MB
4. Setup a Machine Learning Development Environment/6. Vast.ai the market leader in low-cost cloud GPU rental.mp4 84.2 MB
8. Setup a Machine Learning Development Environment/6. Vast.ai the market leader in low-cost cloud GPU rental.mp4 84.2 MB
23. Implement a Perceptron for Classification/1. Introduction.mp4 84.0 MB
16. Implement Logistic Regression with Python/6. Implement Logistic Regression Part 2 Implement Logistic Regression and Measure Performance.mp4 83.3 MB
62. Explore Transformer Encoders and Decoders/1. Introduction.mp4 82.2 MB
10. Apply Regression Concepts for Supervised Learning/2. A Brief and Bizarre History of Linear Regression.mp4 82.2 MB
16. Implement Logistic Regression with Python/4. Logistic Regression in 4 lines of Code.mp4 81.9 MB
22. Explore Neural Network Basics With The Perceptron/1. Introduction.mp4 81.8 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/2. Web Chat Interfaces Vs. Programmatic Notebooks.mp4 81.4 MB
21. Build a K-Nearest Neighbors Classifier/6. Data PreProcessing.mp4 81.0 MB
21. Build a K-Nearest Neighbors Classifier/7. Build and Evaluate the Model.mp4 80.4 MB
32. Build a PyTorch Classifier with Non-Linearity/2. Review Neural Network Classification Without Non-Linearity.mp4 80.4 MB
51. Tune Multi-Class Classification TensorFlow Models/2. Review MNIST Fashion Multi-Class Classifier.mp4 79.4 MB
58. Combine LangChain Components for Coherent Apps/7. Challenge.mp4 79.3 MB
18. Build a Python Random Forest Classification Model/5. Train, Test, Predict, and Measure Model Performance.mp4 79.3 MB
14. Explore Feature Engineering and Data Preparation/2. What is Feature Engineering.mp4 78.9 MB
35. Discover What's New with PyTorch 2.0/1. Introduction.mp4 78.9 MB
19. Apply Regularization to Overcome Overfitting/2. What is Overfitting.mp4 78.8 MB
20. Build a Support Vector Machine Classifier/1. Introduction.mp4 78.5 MB
44. Visualize and Evaluate Performance with TensorFlow/3. Common Evaluation Metrics MAE, MSE, & Huber.mp4 78.1 MB
61. Use LangChain to Chat with PDFs and Documents/3. Maximum Margin Relevance.mp4 77.1 MB
42. Build a Simple Regression Model with TensorFlow/1. Introduction.mp4 77.1 MB
32. Build a PyTorch Classifier with Non-Linearity/6. Build a Neural Network Classification With Non-Linearity Step 4 Train Model .mp4 77.0 MB
31. Explore Neural Network Classification with PyTorch/5. Train and Evaluate Model.mp4 77.0 MB
57. Implement LangChain Memory for Autonomous Tasks/5. ConversationSummaryBufferMemory.mp4 76.9 MB
56. Implement LangChain in Language Model Workflows/4. Leverage Power of Templating for DRY Code.mp4 76.5 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/6. Challenge.mp4 76.0 MB
22. Explore Neural Network Basics With The Perceptron/5. Why Linearly Separable Data Is Key.mp4 75.4 MB
22. Explore Neural Network Basics With The Perceptron/8. Solution Video.mp4 75.4 MB
19. Apply Regularization to Overcome Overfitting/3. Three Options for Handling Overfitting.mp4 75.1 MB
28. Explore Gradient Descent & Back Propagation/4. Back Propagation.mp4 74.7 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/5. Explore Hyperparameter Tuning.mp4 74.5 MB
4. Setup a Machine Learning Development Environment/3. Anaconda, Conda and Jupyter - Starting and Ending a Session .mp4 74.2 MB
8. Setup a Machine Learning Development Environment/3. Starting and Ending a Session.mp4 74.2 MB
48. Build a TensorFlow Classifier with Non-Linearity/1. Review Non-Linearly Separable Data.mp4 74.2 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/2. Squeezing Tensors.mp4 74.1 MB
26. Explore Fundamental PyTorch Tensor Operations/5. The Challenge.mp4 74.0 MB
1. Explore How AI Agents Navigate Driving Directions/7. Breadth-First Search.mp4 73.9 MB
5. Explore How AI Agents Navigate Driving Directions/7. Greedy-Best First and A Search.mp4 73.9 MB
18. Build a Python Random Forest Classification Model/3. Random Forest Concepts.mp4 73.8 MB
59. Build Task-Driven Autonomous Agents with LangChain/8. Challenge.mp4 73.7 MB
45. Normalize and Feature Scale Data with TensorFlow/1. Introduction.mp4 73.4 MB
20. Build a Support Vector Machine Classifier/5. Build and Evaluate the Model.mp4 73.4 MB
20. Build a Support Vector Machine Classifier/2. What is a Support Vector Machine.mp4 73.2 MB
53. Explore The Fundamentals of Large Language Models/7. Challenge Connect Google Colab to ChatGPT via OpenAI's API.mp4 73.2 MB
12. Implement Gradient Descent for Linear Regression/3. Exploring The Gradient Descent Algorithm.mp4 73.0 MB
2. Apply Probability to Real-World AI Problems/5. Bayesian Networks.mp4 73.0 MB
6. Apply Probability to Real-World AI Problems/5. Bayesian Networks.mp4 73.0 MB
12. Implement Gradient Descent for Linear Regression/2. Exploring Gradient Descent Concepts.mp4 72.8 MB
11. Examine Cost Functions and Parameter Tuning/1. Introduction.mp4 72.3 MB
10. Apply Regression Concepts for Supervised Learning/6. Challenge.mp4 71.8 MB
44. Visualize and Evaluate Performance with TensorFlow/2. Generate Linear Transformation Data.mp4 71.8 MB
25. Leverage PyTorch Tensor Attributes and Operators/5. The PyTorch Double Challenge.mp4 71.8 MB
60. Use LangChain to Interact with PDFs and Documents/4. Document Separation.mp4 71.7 MB
21. Build a K-Nearest Neighbors Classifier/2. What is K-Nearest Neighbors.mp4 71.6 MB
23. Implement a Perceptron for Classification/6. Solution Video.mp4 71.5 MB
35. Discover What's New with PyTorch 2.0/4. Traditional PyTorch 1.0 Vs PyTorch 2.0 torch.compile( ).mp4 71.3 MB
63. Examine the Fundamentals of HuggingFace/4. Datasets.mp4 71.1 MB
13. Vectorize Operations for Multiple Regression/2. Multiple Linear Regression.mp4 70.9 MB
60. Use LangChain to Interact with PDFs and Documents/5. Embeddings.mp4 70.8 MB
19. Apply Regularization to Overcome Overfitting/6. Perform Logistic Regression with Regularization.mp4 70.7 MB
48. Build a TensorFlow Classifier with Non-Linearity/3. Create Second Model.mp4 70.7 MB
14. Explore Feature Engineering and Data Preparation/4. Handling Outliers.mp4 70.6 MB
58. Combine LangChain Components for Coherent Apps/3. LLMChain.mp4 70.6 MB
43. Evaluate Regression Models with TensorFlow/3. Preprocess Data.mp4 70.4 MB
2. Apply Probability to Real-World AI Problems/3. Probability of Rolling Two 6-sided Dice.mp4 70.3 MB
6. Apply Probability to Real-World AI Problems/3. Probability of Rolling Two 6-sided Dice.mp4 70.3 MB
51. Tune Multi-Class Classification TensorFlow Models/6. Challenge.mp4 70.1 MB
61. Use LangChain to Chat with PDFs and Documents/6. Chat Q&A Part 2.mp4 70.1 MB
1. Explore How AI Agents Navigate Driving Directions/5. Depth-First Search.mp4 69.6 MB
5. Explore How AI Agents Navigate Driving Directions/5. Depth-First Search.mp4 69.6 MB
50. Explore Multi-Class Classification with TensorFlow/6. Solution Video.mp4 69.6 MB
25. Leverage PyTorch Tensor Attributes and Operators/2. Tensor attributes.mp4 69.6 MB
60. Use LangChain to Interact with PDFs and Documents/1. Introduction.mp4 69.5 MB
18. Build a Python Random Forest Classification Model/1. Introduction.mp4 69.0 MB
12. Implement Gradient Descent for Linear Regression/1. Introduction.mp4 68.9 MB
27. Apply PyTorch Tensor Manipulation and Indexing/3. Squeeze and Unsqueeze Tensors.mp4 68.7 MB
15. Identify Key Classification Algorithms/5. Random Forests.mp4 68.4 MB
19. Apply Regularization to Overcome Overfitting/5. Comparing Cost Functions.mp4 68.4 MB
21. Build a K-Nearest Neighbors Classifier/3. KNN vs. Other Classifiers.mp4 68.2 MB
35. Discover What's New with PyTorch 2.0/3. Key Features of PyTorch 2.0.mp4 68.0 MB
22. Explore Neural Network Basics With The Perceptron/3. Perceptrons As Artificial Neurons.mp4 67.3 MB
20. Build a Support Vector Machine Classifier/3. Optimal Hyperplanes and the Margin.mp4 67.2 MB
42. Build a Simple Regression Model with TensorFlow/4. Challenge Improve Model.mp4 66.8 MB
25. Leverage PyTorch Tensor Attributes and Operators/1. Introduction.mp4 66.7 MB
24. Explore PyTorch Fundamentals for Machine Learning/1. Introduction.mp4 66.5 MB
29. Predict Ice Cream Sales with PyTorch Regression/5. Mini-Challenge Model Training & Model Evaluation.mp4 66.5 MB
10. Apply Regression Concepts for Supervised Learning/4. Seaborn Line of Best Fit.mp4 66.3 MB
13. Vectorize Operations for Multiple Regression/3. Vectorization.mp4 65.9 MB
47. Build a Neural Network Classifier with TensorFlow/5. Visualize and Evaluate Model.mp4 65.7 MB
15. Identify Key Classification Algorithms/3. Logistic Regression.mp4 65.4 MB
31. Explore Neural Network Classification with PyTorch/4. Define Neural Network Architecture.mp4 65.4 MB
58. Combine LangChain Components for Coherent Apps/5. SequentialChain.mp4 65.3 MB
59. Build Task-Driven Autonomous Agents with LangChain/3. Perform math calculation using an Math LLM.mp4 65.3 MB
31. Explore Neural Network Classification with PyTorch/3. Load Make Moons Dataset & Pre-processing.mp4 64.8 MB
55. Design Effective Prompts for Large Language Models/4. Implement Supervised Learning Through Inference.mp4 64.7 MB
38. Implement Matrix Multiplication with TensorFlow/5. Perform Matrix Multiplication.mp4 64.7 MB
49. Evaluate TensorFlow Classification Models/1. Review Learning Rates.mp4 64.4 MB
16. Implement Logistic Regression with Python/2. What is Logistic Regression.mp4 64.3 MB
43. Evaluate Regression Models with TensorFlow/1. Introduction.mp4 64.1 MB
25. Leverage PyTorch Tensor Attributes and Operators/4. Matrix Multiplication.mp4 64.0 MB
44. Visualize and Evaluate Performance with TensorFlow/8. Solution Video.mp4 64.0 MB
41. Explore Neural Network Regression with TensorFlow/2. What is Regression Analysis.mp4 63.9 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/7. Challenge Part 2.mp4 63.8 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/7. Solution Part 1.mp4 63.7 MB
29. Predict Ice Cream Sales with PyTorch Regression/6. Saving and Loading PyTorch Models.mp4 63.7 MB
24. Explore PyTorch Fundamentals for Machine Learning/2. What Is PyTorch and Why It Is Useful.mp4 63.6 MB
48. Build a TensorFlow Classifier with Non-Linearity/7. Solution.mp4 63.5 MB
45. Normalize and Feature Scale Data with TensorFlow/8. Challenge.mp4 63.5 MB
22. Explore Neural Network Basics With The Perceptron/7. Challenge Complete The Perceptron Function 🍩.mp4 63.4 MB
17. Build a Python Decision Tree Classification Model/3. Introduction.mp4 63.3 MB
46. Explore TensorFlow Neural Network Classification/6. Classification Code Example.mp4 62.7 MB
36. Explore TensorFlow Machine Learning Foundations/6. Challenge.mp4 62.5 MB
50. Explore Multi-Class Classification with TensorFlow/1. Compare Binary and Multi-Class Classification.mp4 62.2 MB
11. Examine Cost Functions and Parameter Tuning/5. Cost Functions.mp4 62.1 MB
59. Build Task-Driven Autonomous Agents with LangChain/4. Use Wikipedia to Find General Information.mp4 61.6 MB
1. Explore How AI Agents Navigate Driving Directions/4. Explore the Frontier.mp4 61.6 MB
5. Explore How AI Agents Navigate Driving Directions/4. Explore the Frontier.mp4 61.6 MB
47. Build a Neural Network Classifier with TensorFlow/3. Create Circles Dataset & EDA.mp4 61.1 MB
14. Explore Feature Engineering and Data Preparation/5. One Hot Encoding.mp4 61.0 MB
61. Use LangChain to Chat with PDFs and Documents/5. Chat Q&A Part 1.mp4 60.8 MB
46. Explore TensorFlow Neural Network Classification/5. What is Multi-Label Classification.mp4 60.5 MB
19. Apply Regularization to Overcome Overfitting/4. Overfitting for Classification.mp4 60.3 MB
57. Implement LangChain Memory for Autonomous Tasks/3. ConversationBufferWindowMemory.mp4 60.3 MB
11. Examine Cost Functions and Parameter Tuning/4. Root Mean Squared Error.mp4 60.0 MB
32. Build a PyTorch Classifier with Non-Linearity/3. Build a Neural Network Classification With Non-Linearity Step 1 Load Dataset, Pre-processing, and Make Circles.mp4 59.9 MB
30. Implement a Logistic Regression Model with PyTorch/1. Introduction.mp4 59.9 MB
56. Implement LangChain in Language Model Workflows/1. Introduction.mp4 59.7 MB
3. Define What is Machine Learning/4. Unsupervised.mp4 59.6 MB
7. Define What is Machine Learning/4. Unsupervised.mp4 59.6 MB
27. Apply PyTorch Tensor Manipulation and Indexing/5. Index Tensors.mp4 59.2 MB
53. Explore The Fundamentals of Large Language Models/1. Introduction.mp4 59.2 MB
42. Build a Simple Regression Model with TensorFlow/2. Build a Small Regression Model from Memory .mp4 59.2 MB
42. Build a Simple Regression Model with TensorFlow/5. Solution Part 1.mp4 59.1 MB
38. Implement Matrix Multiplication with TensorFlow/6. Challenge.mp4 58.8 MB
27. Apply PyTorch Tensor Manipulation and Indexing/6. Challenge Tensor Transformer.mp4 58.8 MB
2. Apply Probability to Real-World AI Problems/4. Conditional Probability.mp4 58.8 MB
6. Apply Probability to Real-World AI Problems/4. Conditional Probability.mp4 58.8 MB
31. Explore Neural Network Classification with PyTorch/2. Review Logistic Regression PyTorch Workflow.mp4 58.7 MB
31. Explore Neural Network Classification with PyTorch/1. Introduction.mp4 58.6 MB
24. Explore PyTorch Fundamentals for Machine Learning/5. Leverage Tensors Programmatically.mp4 58.5 MB
18. Build a Python Random Forest Classification Model/2. What is a Random Forest.mp4 58.3 MB
41. Explore Neural Network Regression with TensorFlow/5. Challenge.mp4 58.3 MB
38. Implement Matrix Multiplication with TensorFlow/4. Matrix Multiplication Foundations.mp4 58.3 MB
61. Use LangChain to Chat with PDFs and Documents/4. ContextualCompressionRetriever + MMR.mp4 57.0 MB
32. Build a PyTorch Classifier with Non-Linearity/8. Challenge PyTorch Workflows.mp4 56.4 MB
44. Visualize and Evaluate Performance with TensorFlow/6. Make Predictions and Evaluate Model.mp4 56.4 MB
15. Identify Key Classification Algorithms/4. Decision Trees.mp4 56.1 MB
43. Evaluate Regression Models with TensorFlow/2. Regression Challenge.mp4 55.8 MB
36. Explore TensorFlow Machine Learning Foundations/5. Create Random Tensors with Numpy.mp4 55.5 MB
51. Tune Multi-Class Classification TensorFlow Models/1. Introduction.mp4 55.5 MB
51. Tune Multi-Class Classification TensorFlow Models/3. Load and Visualize Dataset.mp4 55.3 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/2. Review Explore Multi-class Classification with PyTorch.mp4 54.7 MB
26. Explore Fundamental PyTorch Tensor Operations/3. Min, Max, Mean, and Sum (Tensor Aggregation).mp4 54.6 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/3. Create, Preprocess, and Visualize the Spiral Dataset.mp4 54.3 MB
52. Explore Multi-Label Classification with TensorFlow/3. Start Building a Multi-Label Classifier.mp4 54.3 MB
46. Explore TensorFlow Neural Network Classification/3. What is Binary Classification.mp4 54.2 MB
32. Build a PyTorch Classifier with Non-Linearity/4. Build a Neural Network Classification With Non-Linearity Step 2 Define Neural Network Architecture.mp4 54.0 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/8. Solution Video.mp4 54.0 MB
28. Explore Gradient Descent & Back Propagation/3. Forward Propagation.mp4 54.0 MB
32. Build a PyTorch Classifier with Non-Linearity/5. Build a Neural Network Classification With Non-Linearity Step 3 Add Non-Linear Activation Function ReLu.mp4 53.8 MB
62. Explore Transformer Encoders and Decoders/7. What is HuggingFace Again.mp4 53.5 MB
9. Explore Data Pipelines and Linear Regression/4. Predicting Lumber Prices Data Cleaning & Preprocessing.mp4 53.5 MB
29. Predict Ice Cream Sales with PyTorch Regression/7. Challenge.mp4 53.4 MB
58. Combine LangChain Components for Coherent Apps/4. SimpleSequentialChain.mp4 53.3 MB
33. Explore Multi-class Classification with PyTorch/3. Step 1 Setup and Prepare Data.mp4 53.0 MB
22. Explore Neural Network Basics With The Perceptron/4. How Activation Functions Work.mp4 53.0 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/4. Numpy = Friend ❤️.mp4 52.9 MB
57. Implement LangChain Memory for Autonomous Tasks/1. Introduction.mp4 52.7 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/5. GPU & TPU Tensor Optimization.mp4 52.5 MB
59. Build Task-Driven Autonomous Agents with LangChain/2. Leverage LangChain Agents.mp4 52.0 MB
21. Build a K-Nearest Neighbors Classifier/4. What is Imbalanced Data.mp4 52.0 MB
24. Explore PyTorch Fundamentals for Machine Learning/4. Leverage Tensors Concepts.mp4 51.9 MB
61. Use LangChain to Chat with PDFs and Documents/2. Similarity Search.mp4 51.9 MB
53. Explore The Fundamentals of Large Language Models/4. Two Kinds of LLMs Base and Instruction Tuned.mp4 51.8 MB
52. Explore Multi-Label Classification with TensorFlow/5. Evaluate Model.mp4 51.6 MB
15. Identify Key Classification Algorithms/7. Perceptrons.mp4 51.2 MB
26. Explore Fundamental PyTorch Tensor Operations/6. Solution Video.mp4 51.0 MB
21. Build a K-Nearest Neighbors Classifier/5. Data Loading and EDA.mp4 51.0 MB
51. Tune Multi-Class Classification TensorFlow Models/5. Softmax and Validation Exploration.mp4 50.4 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/2. Review Matrix Multiplication.mp4 50.3 MB
25. Leverage PyTorch Tensor Attributes and Operators/3. Tensor Math Operators.mp4 50.2 MB
51. Tune Multi-Class Classification TensorFlow Models/7. Solution Video.mp4 50.0 MB
43. Evaluate Regression Models with TensorFlow/4. Challenge Build Model.mp4 49.7 MB
16. Implement Logistic Regression with Python/3. The Sigmoid Formula and Function.mp4 49.4 MB
36. Explore TensorFlow Machine Learning Foundations/1. Introduction.mp4 48.6 MB
55. Design Effective Prompts for Large Language Models/1. Introduction.mp4 48.3 MB
36. Explore TensorFlow Machine Learning Foundations/2. Introduction to TensorFlow Tensors.mp4 47.9 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/5. Tensor Expansion.mp4 47.9 MB
45. Normalize and Feature Scale Data with TensorFlow/9. Solution Video.mp4 47.6 MB
47. Build a Neural Network Classifier with TensorFlow/7. Solution Video.mp4 47.5 MB
27. Apply PyTorch Tensor Manipulation and Indexing/4. Permute Tensors.mp4 47.0 MB
29. Predict Ice Cream Sales with PyTorch Regression/1. Introduction.mp4 46.7 MB
60. Use LangChain to Interact with PDFs and Documents/2. Retrieval Augmented Generation (RAG) over 2 Skills.mp4 46.7 MB
30. Implement a Logistic Regression Model with PyTorch/4. Part2 Build model.mp4 46.5 MB
52. Explore Multi-Label Classification with TensorFlow/4. Build a Sequential Multi-Label Model.mp4 46.4 MB
24. Explore PyTorch Fundamentals for Machine Learning/6. Challenge.mp4 46.4 MB
60. Use LangChain to Interact with PDFs and Documents/3. Document Loaders.mp4 46.3 MB
48. Build a TensorFlow Classifier with Non-Linearity/4. Create Third Model.mp4 45.8 MB
30. Implement a Logistic Regression Model with PyTorch/3. Part1 Import Libraries, Define Model. and Load the data.mp4 45.7 MB
44. Visualize and Evaluate Performance with TensorFlow/7. Challenge.mp4 45.2 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/1. Introduction.mp4 45.2 MB
63. Examine the Fundamentals of HuggingFace/2. What is HuggingFace 🤗.mp4 44.7 MB
35. Discover What's New with PyTorch 2.0/5. Challenge .mp4 44.4 MB
24. Explore PyTorch Fundamentals for Machine Learning/3. Set up a PyTorch Development Environment.mp4 44.3 MB
33. Explore Multi-class Classification with PyTorch/7. Solution Videos Training Loop.mp4 44.1 MB
37. Explore TensorFlow Aggregation and Manipulation/1. Introduction.mp4 44.0 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/6. Explore Underfitting and Overfitting.mp4 43.9 MB
15. Identify Key Classification Algorithms/6. Support Vector Machines.mp4 43.7 MB
33. Explore Multi-class Classification with PyTorch/6. Challenge .mp4 43.4 MB
20. Build a Support Vector Machine Classifier/6. Breast Cancer Wisconsin (Diagnostic) Dataset.mp4 42.7 MB
58. Combine LangChain Components for Coherent Apps/2. Chaining in LangChain.mp4 42.6 MB
47. Build a Neural Network Classifier with TensorFlow/1. Introduction.mp4 41.8 MB
29. Predict Ice Cream Sales with PyTorch Regression/2. Device Agnostic Conditions & Load Data.mp4 41.8 MB
28. Explore Gradient Descent & Back Propagation/5. Training, Validation, and Test Datasets.mp4 41.5 MB
26. Explore Fundamental PyTorch Tensor Operations/4. Navigating Positional Min Max Values.mp4 41.3 MB
61. Use LangChain to Chat with PDFs and Documents/1. Introduction.mp4 41.3 MB
48. Build a TensorFlow Classifier with Non-Linearity/2. Create Circles DataSet.mp4 41.2 MB
31. Explore Neural Network Classification with PyTorch/7. Challenge PyTorch Workflow.mp4 40.8 MB
29. Predict Ice Cream Sales with PyTorch Regression/4. Model Building.mp4 40.7 MB
49. Evaluate TensorFlow Classification Models/2. Adaptive Learning Rates part 1.mp4 40.3 MB
27. Apply PyTorch Tensor Manipulation and Indexing/7. Solution Video.mp4 40.1 MB
33. Explore Multi-class Classification with PyTorch/5. Step 3 Define Neural Network Architecture.mp4 39.9 MB
23. Implement a Perceptron for Classification/5. The Perceptron Challenge.mp4 39.9 MB
11. Examine Cost Functions and Parameter Tuning/2. Mean Absolute Error.mp4 39.5 MB
47. Build a Neural Network Classifier with TensorFlow/8. Bonus Video.mp4 39.5 MB
62. Explore Transformer Encoders and Decoders/2. What are Transformers.mp4 39.4 MB
52. Explore Multi-Label Classification with TensorFlow/6. Challenge.mp4 39.2 MB
26. Explore Fundamental PyTorch Tensor Operations/1. Introduction.mp4 38.8 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/3. One-Hot Encoding.mp4 38.8 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/7. Challenge .mp4 38.6 MB
33. Explore Multi-class Classification with PyTorch/4. Step 2 Visualize Data (EDA).mp4 38.4 MB
46. Explore TensorFlow Neural Network Classification/4. What is Multi-Class Classification.mp4 38.3 MB
33. Explore Multi-class Classification with PyTorch/8. Solution Videos Evaluation and Decision Boundary.mp4 37.9 MB
53. Explore The Fundamentals of Large Language Models/5. System Messages and Tokens.mp4 37.7 MB
62. Explore Transformer Encoders and Decoders/8. Solution Video.mp4 37.7 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/3. Altering Tensors.mp4 37.2 MB
46. Explore TensorFlow Neural Network Classification/8. Solution.mp4 37.0 MB
27. Apply PyTorch Tensor Manipulation and Indexing/1, Introduction.mp4 36.9 MB
26. Explore Fundamental PyTorch Tensor Operations/7. Bonus Resources.mp4 36.9 MB
13. Vectorize Operations for Multiple Regression/6. Vectorized Operations.mp4 36.8 MB
30. Implement a Logistic Regression Model with PyTorch/2. Review Sklearn Titanic Classification.mp4 36.5 MB
29. Predict Ice Cream Sales with PyTorch Regression/3. Pre-Processing.mp4 36.1 MB
45. Normalize and Feature Scale Data with TensorFlow/2. Handle Imports & Load Dataset.mp4 36.0 MB
35. Discover What's New with PyTorch 2.0/2. Universal Device Setup in PyTorch 2.0.mp4 35.9 MB
30. Implement a Logistic Regression Model with PyTorch/6. Challenge Part 1 Evaluate the Model .mp4 35.9 MB
1. Explore How AI Agents Navigate Driving Directions/1. Introduction.mp4 35.7 MB
5. Explore How AI Agents Navigate Driving Directions/1. Introduction.mp4 35.7 MB
30. Implement a Logistic Regression Model with PyTorch/5. Part 3 Fit model.mp4 35.6 MB
47. Build a Neural Network Classifier with TensorFlow/6. Challenge.mp4 35.5 MB
23. Implement a Perceptron for Classification/2. What is a Perceptron.mp4 35.0 MB
52. Explore Multi-Label Classification with TensorFlow/7. Solution Video.mp4 34.8 MB
53. Explore The Fundamentals of Large Language Models/3. How do LLMs work.mp4 34.7 MB
45. Normalize and Feature Scale Data with TensorFlow/5. Define Model Architecture.mp4 34.6 MB
47. Build a Neural Network Classifier with TensorFlow/4. Build, Compile, and Train Model.mp4 34.5 MB
57. Implement LangChain Memory for Autonomous Tasks/4. ConversationTokenBufferMemory.mp4 34.3 MB
44. Visualize and Evaluate Performance with TensorFlow/1. Introduction.mp4 34.2 MB
11. Examine Cost Functions and Parameter Tuning/3. Mean Squared Error.mp4 34.2 MB
22. Explore Neural Network Basics With The Perceptron/2. Neurons as the building blocks of neural networks.mp4 34.0 MB
44. Visualize and Evaluate Performance with TensorFlow/5. Define Basic Model Architecture.mp4 33.6 MB
37. Explore TensorFlow Aggregation and Manipulation/7. Tensor Positional Methods.mp4 33.4 MB
37. Explore TensorFlow Aggregation and Manipulation/6. Changing Tensor Data Types & Tensor Aggregation.mp4 32.6 MB
14. Explore Feature Engineering and Data Preparation/7. Measuring Survival Accuracy .mp4 32.4 MB
32. Build a PyTorch Classifier with Non-Linearity/7. Build a Neural Network Classification With Non-Linearity Step 5 Evaluate Model.mp4 32.1 MB
59. Build Task-Driven Autonomous Agents with LangChain/6. Create new custom agents and tooling (BabyAGI).mp4 31.6 MB
45. Normalize and Feature Scale Data with TensorFlow/3. One-hot Encode & Separate Features and Target.mp4 31.4 MB
45. Normalize and Feature Scale Data with TensorFlow/6. Evaluate Model and Visualize Loss.mp4 31.3 MB
53. Explore The Fundamentals of Large Language Models/6. System Messages and Tokens Part 2.mp4 31.3 MB
50. Explore Multi-Class Classification with TensorFlow/5. Challenge.mp4 30.9 MB
49. Evaluate TensorFlow Classification Models/6. Solution Video.mp4 30.8 MB
18. Build a Python Random Forest Classification Model/6. Bonus Hyperparameter Tuning Video.mp4 29.9 MB
52. Explore Multi-Label Classification with TensorFlow/1. Introduction.mp4 29.9 MB
2. Apply Probability to Real-World AI Problems/1. Introduction.mp4 29.8 MB
6. Apply Probability to Real-World AI Problems/1. Introduction.mp4 29.8 MB
62. Explore Transformer Encoders and Decoders/5. Decoders.mp4 29.6 MB
37. Explore TensorFlow Aggregation and Manipulation/9. Challenge 2.mp4 28.7 MB
49. Evaluate TensorFlow Classification Models/5. Big Five Evaluation Metrics.mp4 28.3 MB
49. Evaluate TensorFlow Classification Models/3. Adaptive Learning Rates part 2.mp4 28.1 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/4. Transpose & Reshape Tensors.mp4 28.0 MB
38. Implement Matrix Multiplication with TensorFlow/3. TensorFlow Math Functions.mp4 26.8 MB
37. Explore TensorFlow Aggregation and Manipulation/2. Why Shuffle Tensors.mp4 26.8 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/1. Introduction.mp4 26.7 MB
56. Implement LangChain in Language Model Workflows/5. Challenge.mp4 26.1 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/4. Define Neural Network Architecture.mp4 25.7 MB
47. Build a Neural Network Classifier with TensorFlow/2. Pseudocode Image Classification.mp4 25.5 MB
62. Explore Transformer Encoders and Decoders/4. Encoders.mp4 24.1 MB
45. Normalize and Feature Scale Data with TensorFlow/4. Perform TrainTest Split.mp4 24.0 MB
37. Explore TensorFlow Aggregation and Manipulation/8. Challenge .mp4 23.8 MB
37. Explore TensorFlow Aggregation and Manipulation/4. Tensor Attributes.mp4 23.3 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/8. Solution Part 2.mp4 22.9 MB
37. Explore TensorFlow Aggregation and Manipulation/3. TensorFlow Seeds.mp4 22.6 MB
35. Discover What's New with PyTorch 2.0/6. Challenge 2.mp4 22.6 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/6. Challenge.mp4 22.6 MB
32. Build a PyTorch Classifier with Non-Linearity/1. Introduction.mp4 22.1 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/4. Evaluate Inputs to Prevent Prompt Injections.mp4 21.6 MB
36. Explore TensorFlow Machine Learning Foundations/3. Introduction to TensorFlow Tensors Part 2.mp4 21.4 MB
59. Build Task-Driven Autonomous Agents with LangChain/5. Program using a Python REPL tool.mp4 21.2 MB
2. Apply Probability to Real-World AI Problems/6. Recapitulation.mp4 20.7 MB
6. Apply Probability to Real-World AI Problems/6. Recapitulation.mp4 20.7 MB
50. Explore Multi-Class Classification with TensorFlow/3. Review Model Building Steps.mp4 20.5 MB
36. Explore TensorFlow Machine Learning Foundations/4. Create Tensors with TensorFlow.mp4 20.0 MB
38. Implement Matrix Multiplication with TensorFlow/1. Introduction.mp4 17.4 MB
38. Implement Matrix Multiplication with TensorFlow/2. Basic Tensor Operation.mp4 16.9 MB
62. Explore Transformer Encoders and Decoders/6. Encoder-Decoders.mp4 16.4 MB
28. Explore Gradient Descent & Back Propagation/2. Gradient Descent.mp4 16.4 MB
63. Examine the Fundamentals of HuggingFace/6. ChatGPT Competitor HuggingChat 🦾🤗.mp4 16.2 MB
33. Explore Multi-class Classification with PyTorch/1. Introduction.mp4 15.2 MB
37. Explore TensorFlow Aggregation and Manipulation/5. Tensor Indexing.mp4 14.5 MB
31. Explore Neural Network Classification with PyTorch/6. Visualize Decision Boundary with Probability.mp4 13.1 MB
48. Build a TensorFlow Classifier with Non-Linearity/6. Challenge.mp4 12.7 MB
45. Normalize and Feature Scale Data with TensorFlow/7. What is Normalization and Standardization.mp4 11.4 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/1. Introduction.mp4 11.3 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/1. Introduction.mp4 11.3 MB
41. Explore Neural Network Regression with TensorFlow/1. Introduction.mp4 10.3 MB
4. Setup a Machine Learning Development Environment/conda-cheatsheet.pdf 292.1 KB
Readme.txt 133 bytes
3. Define What is Machine Learning/lumber_prediction_line.ipynb.txt 85 bytes

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