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Udemy - Machine Learning, Data Science and Generative AI with Python (1.2025)
大小 7.79 GB
文件数 322
Info Hash: 9B004AF67BC1AADF759B350DCCF81FA0692E5EDE
收录时间 2025-12-14 05:49:07
更新时间 2025-12-14 05:49:07
文件列表 (322)
01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4
101.97 MB
01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.mp4
95.78 MB
01. Getting Started/7. Activity LINUX Installing and Using Anaconda & Course Materials.mp4
60.14 MB
01. Getting Started/12. Introducing the Pandas Library Optional.mp4
44.15 MB
01. Getting Started/8. Python Basics, Part 1 Optional.mp4
26.9 MB
01. Getting Started/9. Activity Python Basics, Part 2 Optional.mp4
20.62 MB
01. Getting Started/1. Introduction.mp4
18.75 MB
01. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4
17.4 MB
01. Getting Started/11. Activity Python Basics, Part 4 Optional.mp4
5.72 MB
01. Getting Started/10. Activity Python Basics, Part 3 Optional.mp4
2.44 MB
01. Getting Started/12. Introducing the Pandas Library Optional.vtt
18.15 KB
01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.vtt
17.15 KB
01. Getting Started/7. Activity LINUX Installing and Using Anaconda & Course Materials.vtt
14.83 KB
01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.vtt
13.97 KB
01. Getting Started/8. Python Basics, Part 1 Optional.vtt
7.95 KB
01. Getting Started/9. Activity Python Basics, Part 2 Optional.vtt
7.79 KB
01. Getting Started/11. Activity Python Basics, Part 4 Optional.vtt
5.96 KB
01. Getting Started/1. Introduction.vtt
5.13 KB
01. Getting Started/10. Activity Python Basics, Part 3 Optional.vtt
4.39 KB
01. Getting Started/2. Udemy 101 Getting the Most From This Course.vtt
4.14 KB
01. Getting Started/4. Installation Getting Started.html
1.21 KB
01. Getting Started/3. Important note.html
575 B
02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.mp4
103.39 MB
02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.mp4
96.14 MB
02. Statistics and Probability Refresher, and Python Practice/11. Exercise Conditional Probability.mp4
93.95 MB
02. Statistics and Probability Refresher, and Python Practice/8. Activity A Crash Course in matplotlib.mp4
88.69 MB
02. Statistics and Probability Refresher, and Python Practice/1. Types of Data (Numerical, Categorical, Ordinal).mp4
73.1 MB
02. Statistics and Probability Refresher, and Python Practice/10. Activity Covariance and Correlation.mp4
69.48 MB
02. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.mp4
56.12 MB
02. Statistics and Probability Refresher, and Python Practice/3. Activity Using mean, median, and mode in Python.mp4
44.5 MB
02. Statistics and Probability Refresher, and Python Practice/7. Activity Percentiles and Moments.mp4
42.56 MB
02. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions (Normal, Binomial, Poisson, etc).mp4
28.25 MB
02. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.mp4
15.96 MB
02. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.mp4
15.01 MB
02. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function Probability Mass Function.mp4
6.92 MB
02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.vtt
29.58 KB
02. Statistics and Probability Refresher, and Python Practice/11. Exercise Conditional Probability.vtt
28.22 KB
02. Statistics and Probability Refresher, and Python Practice/7. Activity Percentiles and Moments.vtt
22.01 KB
02. Statistics and Probability Refresher, and Python Practice/10. Activity Covariance and Correlation.vtt
19.67 KB
02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.vtt
19.08 KB
02. Statistics and Probability Refresher, and Python Practice/8. Activity A Crash Course in matplotlib.vtt
18.87 KB
02. Statistics and Probability Refresher, and Python Practice/3. Activity Using mean, median, and mode in Python.vtt
15.74 KB
02. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions (Normal, Binomial, Poisson, etc).vtt
12.06 KB
02. Statistics and Probability Refresher, and Python Practice/1. Types of Data (Numerical, Categorical, Ordinal).vtt
12.01 KB
02. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.vtt
9.66 KB
02. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.vtt
8.68 KB
02. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function Probability Mass Function.vtt
5.96 KB
02. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.vtt
4.01 KB
03. Predictive Models/3. Activity Multiple Regression, and Predicting Car Prices.mp4
94.14 MB
03. Predictive Models/1. Activity Linear Regression.mp4
92.96 MB
03. Predictive Models/2. Activity Polynomial Regression.mp4
60.55 MB
03. Predictive Models/4. Multi-Level Models.mp4
27.22 MB
03. Predictive Models/3. Activity Multiple Regression, and Predicting Car Prices.vtt
28.47 KB
03. Predictive Models/1. Activity Linear Regression.vtt
19.51 KB
03. Predictive Models/2. Activity Polynomial Regression.vtt
13.14 KB
03. Predictive Models/4. Multi-Level Models.vtt
8.21 KB
04. Machine Learning with Python/11. Decision Trees Concepts.mp4
81.5 MB
04. Machine Learning with Python/4. Activity Implementing a Spam Classifier with Naive Bayes.mp4
81.39 MB
04. Machine Learning with Python/14. Activity XGBoost.mp4
79.28 MB
04. Machine Learning with Python/12. Activity Decision Trees Predicting Hiring Decisions.mp4
57.79 MB
04. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
56.68 MB
04. Machine Learning with Python/16. Activity Using SVM to cluster people using scikit-learn.mp4
38.49 MB
04. Machine Learning with Python/13. Ensemble Learning.mp4
36.96 MB
04. Machine Learning with Python/5. K-Means Clustering.mp4
26.02 MB
04. Machine Learning with Python/6. Activity Clustering people based on income and age.mp4
21.99 MB
04. Machine Learning with Python/2. Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
21.62 MB
04. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.mp4
16.35 MB
04. Machine Learning with Python/7. Measuring Entropy.mp4
12.14 MB
04. Machine Learning with Python/3. Bayesian Methods Concepts.mp4
9.83 MB
04. Machine Learning with Python/9. Activity MAC Installing Graphviz.mp4
9.07 MB
04. Machine Learning with Python/10. Activity LINUX Installing Graphviz.mp4
2.48 MB
04. Machine Learning with Python/8. Activity WINDOWS Installing Graphviz.mp4
949.33 KB
04. Machine Learning with Python/14. Activity XGBoost.vtt
28.04 KB
04. Machine Learning with Python/12. Activity Decision Trees Predicting Hiring Decisions.vtt
16.66 KB
04. Machine Learning with Python/16. Activity Using SVM to cluster people using scikit-learn.vtt
16.65 KB
04. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.vtt
16.13 KB
04. Machine Learning with Python/11. Decision Trees Concepts.vtt
15.49 KB
04. Machine Learning with Python/4. Activity Implementing a Spam Classifier with Naive Bayes.vtt
13.71 KB
04. Machine Learning with Python/5. K-Means Clustering.vtt
12.99 KB
04. Machine Learning with Python/13. Ensemble Learning.vtt
10.62 KB
04. Machine Learning with Python/2. Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt
9.93 KB
04. Machine Learning with Python/6. Activity Clustering people based on income and age.vtt
9.2 KB
04. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.vtt
7.89 KB
04. Machine Learning with Python/3. Bayesian Methods Concepts.vtt
6.79 KB
04. Machine Learning with Python/7. Measuring Entropy.vtt
5.38 KB
04. Machine Learning with Python/9. Activity MAC Installing Graphviz.vtt
1.47 KB
04. Machine Learning with Python/10. Activity LINUX Installing Graphviz.vtt
1.15 KB
04. Machine Learning with Python/8. Activity WINDOWS Installing Graphviz.vtt
745 B
05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4
124.11 MB
05. Recommender Systems/3. Activity Finding Movie Similarities using Cosine Similarity.mp4
82.67 MB
05. Recommender Systems/1. User-Based Collaborative Filtering.mp4
81.69 MB
05. Recommender Systems/4. Activity Improving the Results of Movie Similarities.mp4
56.06 MB
05. Recommender Systems/6. Exercise Improve the recommender's results.mp4
28 MB
05. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
23.2 MB
05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.vtt
16.9 KB
05. Recommender Systems/3. Activity Finding Movie Similarities using Cosine Similarity.vtt
14.9 KB
05. Recommender Systems/2. Item-Based Collaborative Filtering.vtt
14.83 KB
05. Recommender Systems/1. User-Based Collaborative Filtering.vtt
14.44 KB
05. Recommender Systems/4. Activity Improving the Results of Movie Similarities.vtt
13.42 KB
05. Recommender Systems/6. Exercise Improve the recommender's results.vtt
10.13 KB
06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
125.18 MB
06. More Data Mining and Machine Learning Techniques/2. Activity Using KNN to predict a rating for a movie.mp4
85.54 MB
06. More Data Mining and Machine Learning Techniques/4. Activity PCA Example with the Iris data set.mp4
65.77 MB
06. More Data Mining and Machine Learning Techniques/7. Activity Reinforcement Learning & Q-Learning with Gym.mp4
62.79 MB
06. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
58.71 MB
06. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction Principal Component Analysis (PCA).mp4
38.13 MB
06. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4
14.04 MB
06. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4
11.67 MB
06. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.mp4
7.38 MB
06. More Data Mining and Machine Learning Techniques/7. Activity Reinforcement Learning & Q-Learning with Gym.vtt
22.01 KB
06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.vtt
20.99 KB
06. More Data Mining and Machine Learning Techniques/2. Activity Using KNN to predict a rating for a movie.vtt
20.04 KB
06. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.vtt
14.97 KB
06. More Data Mining and Machine Learning Techniques/4. Activity PCA Example with the Iris data set.vtt
14.93 KB
06. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).vtt
10.63 KB
06. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.vtt
9.71 KB
06. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction Principal Component Analysis (PCA).vtt
9.7 KB
06. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.vtt
6.57 KB
07. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4
73.09 MB
07. Dealing with Real-World Data/2. Activity K-Fold Cross-Validation to avoid overfitting.mp4
56.9 MB
07. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4
42.72 MB
07. Dealing with Real-World Data/4. Activity Cleaning web log data.mp4
31.01 MB
07. Dealing with Real-World Data/6. Activity Detecting outliers.mp4
27.15 MB
07. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4
23.63 MB
07. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4
18.2 MB
07. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4
17.43 MB
07. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4
14.56 MB
07. Dealing with Real-World Data/5. Normalizing numerical data.mp4
10.32 MB
07. Dealing with Real-World Data/4. Activity Cleaning web log data.vtt
18.05 KB
07. Dealing with Real-World Data/2. Activity K-Fold Cross-Validation to avoid overfitting.vtt
17.2 KB
07. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.vtt
14.37 KB
07. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.vtt
14.1 KB
07. Dealing with Real-World Data/3. Data Cleaning and Normalization.vtt
13.41 KB
07. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.vtt
11.64 KB
07. Dealing with Real-World Data/6. Activity Detecting outliers.vtt
11.14 KB
07. Dealing with Real-World Data/1. BiasVariance Tradeoff.vtt
10.67 KB
07. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.vtt
9.91 KB
07. Dealing with Real-World Data/5. Normalizing numerical data.vtt
6.06 KB
08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.mp4
141.36 MB
08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.mp4
133.95 MB
08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.mp4
116.14 MB
08. Apache Spark Machine Learning on Big Data/10. Activity Searching Wikipedia with Spark.mp4
84.01 MB
08. Apache Spark Machine Learning on Big Data/9. TF IDF.mp4
65.66 MB
08. Apache Spark Machine Learning on Big Data/11. Activity Using the Spark DataFrame API for MLLib.mp4
65.11 MB
08. Apache Spark Machine Learning on Big Data/4. Spark Introduction.mp4
24.96 MB
08. Apache Spark Machine Learning on Big Data/5. Spark and the Resilient Distributed Dataset (RDD).mp4
22.3 MB
08. Apache Spark Machine Learning on Big Data/6. Introducing MLLib.mp4
14.65 MB
08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.vtt
27.55 KB
08. Apache Spark Machine Learning on Big Data/5. Spark and the Resilient Distributed Dataset (RDD).vtt
20 KB
08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.vtt
17.61 KB
08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.vtt
17.59 KB
08. Apache Spark Machine Learning on Big Data/4. Spark Introduction.vtt
15.94 KB
08. Apache Spark Machine Learning on Big Data/10. Activity Searching Wikipedia with Spark.vtt
12.89 KB
08. Apache Spark Machine Learning on Big Data/11. Activity Using the Spark DataFrame API for MLLib.vtt
12.85 KB
08. Apache Spark Machine Learning on Big Data/9. TF IDF.vtt
11.04 KB
08. Apache Spark Machine Learning on Big Data/6. Introducing MLLib.vtt
8.74 KB
08. Apache Spark Machine Learning on Big Data/2. Spark installation notes for MacOS and Linux users.html
3.15 KB
08. Apache Spark Machine Learning on Big Data/1. Warning about Java 21+ and Spark 3!.html
1.03 KB
09. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4
91.73 MB
09. Experimental Design ML in the Real World/4. Activity Hands-on With T-Tests.mp4
47.77 MB
09. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4
32.02 MB
09. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.mp4
17.22 MB
09. Experimental Design ML in the Real World/3. T-Tests and P-Values.mp4
14.08 MB
09. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.mp4
9.75 MB
09. Experimental Design ML in the Real World/6. AB Test Gotchas.vtt
17.25 KB
09. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.vtt
15.7 KB
09. Experimental Design ML in the Real World/2. AB Testing Concepts.vtt
15.5 KB
09. Experimental Design ML in the Real World/4. Activity Hands-on With T-Tests.vtt
10.31 KB
09. Experimental Design ML in the Real World/3. T-Tests and P-Values.vtt
10.24 KB
09. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.vtt
6.45 KB
10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.mp4
120.5 MB
10. Deep Learning and Neural Networks/14. Activity Transfer Learning.mp4
111.05 MB
10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.mp4
107.7 MB
10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.mp4
95.13 MB
10. Deep Learning and Neural Networks/13. Activity Using a RNN for sentiment analysis.mp4
73.55 MB
10. Deep Learning and Neural Networks/8. Activity Introducing Keras.mp4
72.03 MB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4
70.4 MB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp4
68.87 MB
10. Deep Learning and Neural Networks/9. Activity Using Keras to Predict Political Affiliations.mp4
66.82 MB
10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).mp4
58.73 MB
10. Deep Learning and Neural Networks/3. Activity Deep Learning in the Tensorflow Playground.mp4
55.69 MB
10. Deep Learning and Neural Networks/11. Activity Using CNN's for handwriting recognition.mp4
52.82 MB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4
46.63 MB
10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).mp4
32.81 MB
10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4
30.9 MB
10. Deep Learning and Neural Networks/16. Deep Learning Regularization with Dropout and Early Stopping.mp4
19.84 MB
10. Deep Learning and Neural Networks/15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4
8.5 MB
10. Deep Learning and Neural Networks/8. Activity Introducing Keras.vtt
23.73 KB
10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.vtt
22.93 KB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.vtt
21.72 KB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.vtt
21.67 KB
10. Deep Learning and Neural Networks/9. Activity Using Keras to Predict Political Affiliations.vtt
21.03 KB
10. Deep Learning and Neural Networks/14. Activity Transfer Learning.vtt
20.89 KB
10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).vtt
20.75 KB
10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.vtt
20.65 KB
10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.vtt
20.58 KB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.vtt
20.07 KB
10. Deep Learning and Neural Networks/3. Activity Deep Learning in the Tensorflow Playground.vtt
19.86 KB
10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).vtt
19.16 KB
10. Deep Learning and Neural Networks/4. Deep Learning Details.vtt
17.46 KB
10. Deep Learning and Neural Networks/13. Activity Using a RNN for sentiment analysis.vtt
17.11 KB
10. Deep Learning and Neural Networks/11. Activity Using CNN's for handwriting recognition.vtt
13.96 KB
10. Deep Learning and Neural Networks/16. Deep Learning Regularization with Dropout and Early Stopping.vtt
11.61 KB
10. Deep Learning and Neural Networks/15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.vtt
8.58 KB
11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4
148.84 MB
11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4
126.11 MB
11. Generative Models/4. Generative Adversarial Networks (GAN's) - Playing with some demos.mp4
88.6 MB
11. Generative Models/1. Variational Auto-Encoders (VAE's) - how they work.mp4
42.88 MB
11. Generative Models/6. Learning More about Deep Learning.mp4
20.21 MB
11. Generative Models/3. Generative Adversarial Networks (GAN's) - How they work.mp4
15.24 MB
11. Generative Models/5. GAN_on_Fashion_MNIST.ipynb
3.75 MB
11. Generative Models/2. VariationalAutoEncoders.ipynb
1.33 MB
11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.vtt
45.35 KB
11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.vtt
26.81 KB
11. Generative Models/4. Generative Adversarial Networks (GAN's) - Playing with some demos.vtt
18.08 KB
11. Generative Models/1. Variational Auto-Encoders (VAE's) - how they work.vtt
18.05 KB
11. Generative Models/3. Generative Adversarial Networks (GAN's) - How they work.vtt
13.28 KB
11. Generative Models/6. Learning More about Deep Learning.vtt
3.18 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/11. Activity Fine Tuning GPT with the IMDb dataset.mp4
85.2 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/10. Activity Using small and large GPT models within Google CoLab and HuggingFace.mp4
69.01 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/7. Activity Tokenization with Google CoLab and HuggingFace.mp4
67.74 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/12. From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.mp4
51.12 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/2. Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.mp4
41.5 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/9. Activity Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.mp4
30.38 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/4. How GPT Works, Part 1 The GPT Transformer Architecture.mp4
30.27 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/13. From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.mp4
28.47 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/1. The Transformer Architecture (encoders, decoders, and self-attention.).mp4
19.78 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/5. How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4
14.76 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/3. Applications of Transformers (GPT).mp4
9.58 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/7. Transformers_MLCourse.ipynb
6.69 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/8. Activity Positional Encoding.mp4
6.46 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/6. Fine Tuning Transfer Learning with Transformers.mp4
5.05 MB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/1. The Transformer Architecture (encoders, decoders, and self-attention.).vtt
18.56 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/2. Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.vtt
17.93 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/7. Activity Tokenization with Google CoLab and HuggingFace.vtt
15.45 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/4. How GPT Works, Part 1 The GPT Transformer Architecture.vtt
13.29 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/12. From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.vtt
13.26 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/11. Activity Fine Tuning GPT with the IMDb dataset.vtt
11.14 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/13. From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.vtt
10.67 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/9. Activity Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.vtt
10.57 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/10. Activity Using small and large GPT models within Google CoLab and HuggingFace.vtt
8.96 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/5. How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.vtt
8.94 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/3. Applications of Transformers (GPT).vtt
8.45 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/6. Fine Tuning Transfer Learning with Transformers.vtt
4.61 KB
12. Generative AI GPT, ChatGPT, Transformers, Self Attention Based Neural Networks/8. Activity Positional Encoding.vtt
3.63 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4
318.98 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4
166.5 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/2. Activity Using Tools and Functions in the OpenAI Chat Completion API.mp4
81.12 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/1. Activity The OpenAI Chat Completions API.mp4
65.41 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/4. Activity The Embeddings API in OpenAI Finding similarities between words.mp4
28.96 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/3. Activity The Images (DALL-E) API in OpenAI.mp4
25.79 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/8. Activity The OpenAI Moderation API.mp4
16.21 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/9. Activity The OpenAI Audio API (speech to text).mp4
12.98 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/5. The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4
11.68 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.vtt
37.92 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.vtt
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13. The OpenAI API (Developing with GPT and ChatGPT)/1. Activity The OpenAI Chat Completions API.vtt
20.58 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/2. Activity Using Tools and Functions in the OpenAI Chat Completion API.vtt
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13. The OpenAI API (Developing with GPT and ChatGPT)/7. MakingData.ipynb
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13. The OpenAI API (Developing with GPT and ChatGPT)/4. Activity The Embeddings API in OpenAI Finding similarities between words.vtt
11.1 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/5. The Legacy Fine-Tuning API for GPT Models in OpenAI.vtt
9.58 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/3. Activity The Images (DALL-E) API in OpenAI.vtt
7.3 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/9. Activity The OpenAI Audio API (speech to text).vtt
6.79 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/8. Activity The OpenAI Moderation API.vtt
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13. The OpenAI API (Developing with GPT and ChatGPT)/2. Functions.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/6. extract-script.py
1.88 KB
13. The OpenAI API (Developing with GPT and ChatGPT)/1. Chat-Completions.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/4. Embedding.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/3. Image.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/9. Audio.py
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13. The OpenAI API (Developing with GPT and ChatGPT)/8. Moderation.py
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14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4
270.77 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4
264.42 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4
263.83 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/1. Retrieval Augmented Generation (RAG) How it works, with some examples.mp4
92.89 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/2. Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4
72.49 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/5. Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.mp4
29.46 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/3. RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.mp4
25.05 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/9. LLM Agents and Swarms of Agents.mp4
24.66 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/7. Advanced RAG Prompt Compression, and More Tuning Opportunities.mp4
21.48 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/6. Advanced RAG Query Rewriting.mp4
8.07 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Data_Advanced_RAG.ipynb
763.57 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/2. Data_RAG.ipynb
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14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Data_Agent.ipynb
83.34 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Data_RAG_Metrics.ipynb
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14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/2. Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.vtt
33.52 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.vtt
31.37 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/1. Retrieval Augmented Generation (RAG) How it works, with some examples.vtt
30.89 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.vtt
28.28 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.vtt
27.62 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/3. RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.vtt
19.64 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/5. Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.vtt
14.42 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/7. Advanced RAG Prompt Compression, and More Tuning Opportunities.vtt
10.54 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/9. LLM Agents and Swarms of Agents.vtt
9.74 KB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/6. Advanced RAG Query Rewriting.vtt
7.15 KB
15. Final Project/2. Final project review.mp4
64.49 MB
15. Final Project/1. Your final project assignment Mammogram Classification.mp4
51.6 MB
15. Final Project/2. Final project review.vtt
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15. Final Project/1. Your final project assignment Mammogram Classification.vtt
11.97 KB
16. You made it!/1. More to Explore.mp4
33.99 MB
16. You made it!/3. 2019-04-08_18-15-28-b861b8ffb2406e3f70aad5871e4e91ff.png
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16. You made it!/3. 2019-04-08_17-55-57-bcf2d7bf9cef514f135511b184f77e48.png
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16. You made it!/3. 2019-04-08_18-17-01-1a5b2a5d579cfb42118eaf525e7a7b83.png
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16. You made it!/3. 2019-04-08_18-20-39-de5ee610f1e6e8e483229fd1c9d7e998.png
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16. You made it!/3. 2024-07-26_12-45-38-32f4df5ac9105153f0fd5c7fdab93d89.png
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16. You made it!/3. 2022-07-23_11-27-36-c40b770315b5187e58bca3c2542ee3b4.png
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16. You made it!/3. 2024-08-19_12-50-25-5160f601d41d2a72d06a9c0d700cad51.png
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16. You made it!/3. 2021-10-16_12-16-09-e3dd0e05ba917baf745a42fc35a0cbb2.jpg
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16. You made it!/3. 2022-04-18_13-12-40-afb201ce74196d83694608d7fc39a43e.png
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16. You made it!/3. 2019-04-08_18-21-33-2ee7f2d5dff7cccfd9f4103899aa6cc0.png
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16. You made it!/3. 2019-04-08_19-24-33-63d41c7c27f7ed6e9ca0e1072e6c2751.jpg
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16. You made it!/3. 2024-08-06_13-32-36-7f6c6c13c6b331d2282e71ed3e362b48.jpg
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16. You made it!/3. 2019-10-23_18-48-57-9fb797c585d7195417eca364a27b07c9.jpg
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16. You made it!/3. Bonus Lecture.html
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16. You made it!/1. More to Explore.vtt
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16. You made it!/2. Don't Forget to Leave a Rating!.html
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