7.57 GB | 21min 15s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction.mp4 (18.75 MB)
10 Activity Python Basics, Part 3 Optional.mp4 (2.44 MB)
11 Activity Python Basics, Part 4 Optional.mp4 (5.72 MB)
12 Introducing the Pandas Library Optional.mp4 (44.15 MB)
2 Udemy 101 Getting the Most From This Course.mp4 (17.4 MB)
5 Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 (101.97 MB)
6 Activity MAC Installing and Using Anaconda & Course Materials.mp4 (95.78 MB)
7 Activity LINUX Installing and Using Anaconda & Course Materials.mp4 (60.14 MB)
8 Python Basics, Part 1 Optional.mp4 (26.9 MB)
9 Activity Python Basics, Part 2 Optional.mp4 (20.62 MB)
1 Types of Data (Numerical, Categorical, Ordinal).mp4 (73.1 MB)
10 Activity Covariance and Correlation.mp4 (69.48 MB)
11 Exercise Conditional Probability.mp4 (93.95 MB)
12 Exercise Solution Conditional Probability of Purchase by Age.mp4 (15.01 MB)
13 Bayes' Theorem.mp4 (56.12 MB)
2 Mean, Median, Mode.mp4 (15.96 MB)
3 Activity Using mean, median, and mode in Python.mp4 (44.5 MB)
4 Activity Variation and Standard Deviation.mp4 (103.39 MB)
5 Probability Density Function Probability Mass Function.mp4 (6.92 MB)
6 Common Data Distributions (Normal, Binomial, Poisson, etc).mp4 (28.25 MB)
7 Activity Percentiles and Moments.mp4 (42.56 MB)
8 Activity A Crash Course in matplotlib.mp4 (88.69 MB)
9 Activity Advanced Visualization with Seaborn.mp4 (96.14 MB)
1 Activity Linear Regression.mp4 (92.96 MB)
2 Activity Polynomial Regression.mp4 (60.55 MB)
3 Activity Multiple Regression, and Predicting Car Prices.mp4 (94.14 MB)
4 Multi-Level Models.mp4 (27.22 MB)
1 Supervised vs Unsupervised Learning, and TrainTest.mp4 (56.68 MB)
10 Activity LINUX Installing Graphviz.mp4 (2.48 MB)
11 Decision Trees Concepts.mp4 (81.5 MB)
12 Activity Decision Trees Predicting Hiring Decisions.mp4 (57.79 MB)
13 Ensemble Learning.mp4 (36.96 MB)
14 Activity XGBoost.mp4 (79.28 MB)
15 Support Vector Machines (SVM) Overview.mp4 (16.35 MB)
16 Activity Using SVM to cluster people using scikit-learn.mp4 (38.49 MB)
2 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 (21.62 MB)
3 Bayesian Methods Concepts.mp4 (9.83 MB)
4 Activity Implementing a Spam Classifier with Naive Bayes.mp4 (81.39 MB)
5 K-Means Clustering.mp4 (26.02 MB)
6 Activity Clustering people based on income and age.mp4 (21.99 MB)
7 Measuring Entropy.mp4 (12.14 MB)
8 Activity WINDOWS Installing Graphviz.mp4 (949.33 KB)
9 Activity MAC Installing Graphviz.mp4 (9.07 MB)
1 User-Based Collaborative Filtering.mp4 (81.69 MB)
2 Item-Based Collaborative Filtering.mp4 (23.2 MB)
3 Activity Finding Movie Similarities using Cosine Similarity.mp4 (82.67 MB)
4 Activity Improving the Results of Movie Similarities.mp4 (56.06 MB)
5 Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 (124.11 MB)
6 Exercise Improve the recommender's results.mp4 (28 MB)
1 K-Nearest-Neighbors Concepts.mp4 (14.04 MB)
2 Activity Using KNN to predict a rating for a movie.mp4 (85.54 MB)
3 Dimensionality Reduction Principal Component Analysis (PCA).mp4 (38.13 MB)
4 Activity PCA Example with the Iris data set.mp4 (65.77 MB)
5 Data Warehousing Overview ETL and ELT.mp4 (58.71 MB)
6 Reinforcement Learning.mp4 (125.18 MB)
7 Activity Reinforcement Learning & Q-Learning with Gym.mp4 (62.79 MB)
8 Understanding a Confusion Matrix.mp4 (7.38 MB)
9 Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4 (11.67 MB)
1 BiasVariance Tradeoff.mp4 (23.63 MB)
10 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 (42.72 MB)
2 Activity K-Fold Cross-Validation to avoid overfitting.mp4 (56.9 MB)
3 Data Cleaning and Normalization.mp4 (73.09 MB)
4 Activity Cleaning web log data.mp4 (31.01 MB)
5 Normalizing numerical data.mp4 (10.32 MB)
6 Activity Detecting outliers.mp4 (27.15 MB)
7 Feature Engineering and the Curse of Dimensionality.mp4 (14.56 MB)
8 Imputation Techniques for Missing Data.mp4 (18.2 MB)
9 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4 (17.43 MB)
10 Activity Searching Wikipedia with Spark.mp4 (84.01 MB)
11 Activity Using the Spark DataFrame API for MLLib.mp4 (65.11 MB)
3 Activity Installing Spark.mp4 (141.36 MB)
4 Spark Introduction.mp4 (24.96 MB)
5 Spark and the Resilient Distributed Dataset (RDD).mp4 (22.3 MB)
6 Introducing MLLib.mp4 (14.65 MB)
7 Introduction to Decision Trees in Spark.mp4 (133.95 MB)
8 Activity K-Means Clustering in Spark.mp4 (116.14 MB)
9 TF IDF.mp4 (65.66 MB)
1 Deploying Models to Real-Time Systems.mp4 (17.22 MB)
2 AB Testing Concepts.mp4 (32.02 MB)
3 T-Tests and P-Values.mp4 (14.08 MB)
4 Activity Hands-on With T-Tests.mp4 (47.77 MB)
5 Determining How Long to Run an Experiment.mp4 (9.75 MB)
6 AB Test Gotchas.mp4 (91.73 MB)
1 Deep Learning Pre-Requisites.mp4 (70.4 MB)
10 Convolutional Neural Networks (CNN's).mp4 (58.73 MB)
11 Activity Using CNN's for handwriting recognition.mp4 (52.82 MB)
12 Recurrent Neural Networks (RNN's).mp4 (32.81 MB)
13 Activity Using a RNN for sentiment analysis.mp4 (73.55 MB)
14 Activity Transfer Learning.mp4 (111.05 MB)
15 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4 (8.5 MB)
16 Deep Learning Regularization with Dropout and Early Stopping.mp4 (19.84 MB)
17 The Ethics of Deep Learning.mp4 (120.5 MB)
2 The History of Artificial Neural Networks.mp4 (68.87 MB)
3 Activity Deep Learning in the Tensorflow Playground.mp4 (55.69 MB)
4 Deep Learning Details.mp4 (30.9 MB)
5 Introducing Tensorflow.mp4 (46.63 MB)
6 Activity Using Tensorflow, Part 1.mp4 (107.7 MB)
7 Activity Using Tensorflow, Part 2.mp4 (95.13 MB)
8 Activity Introducing Keras.mp4 (72.03 MB)
9 Activity Using Keras to Predict Political Affiliations.mp4 (66.82 MB)
1 Variational Auto-Encoders (VAE's) - how they work.mp4 (42.88 MB)
2 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 (148.84 MB)
3 Generative Adversarial Networks (GAN's) - How they work.mp4 (15.24 MB)
4 Generative Adversarial Networks (GAN's) - Playing with some demos.mp4 (88.6 MB)
5 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 (126.11 MB)
6 Learning More about Deep Learning.mp4 (20.21 MB)
1 The Transformer Architecture (encoders, decoders, and self-attention ).mp4 (19.78 MB)
11 Activity Fine Tuning GPT with the IMDb dataset.mp4 (85.2 MB)
3 Applications of Transformers (GPT).mp4 (9.58 MB)
4 How GPT Works, Part 1 The GPT Transformer Architecture.mp4 (30.27 MB)
5 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4 (14.76 MB)
6 Fine Tuning Transfer Learning with Transformers.mp4 (5.05 MB)
7 Activity Tokenization with Google CoLab and HuggingFace.mp4 (67.74 MB)
8 Activity Positional Encoding.mp4 (6.46 MB)
1 Activity The OpenAI Chat Completions API.mp4 (65.41 MB)
2 Activity Using Tools and Functions in the OpenAI Chat Completion API.mp4 (81.12 MB)
3 Activity The Images (DALL-E) API in OpenAI.mp4 (25.79 MB)
4 Activity The Embeddings API in OpenAI Finding similarities between words.mp4 (28.96 MB)
5 The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4 (11.68 MB)
6 Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 (166.5 MB)
7 The New OpenAI Fine-Tuning API Fine-Tuning GPT-3 5 to simulate Commander Data!.mp4 (318.98 MB)
8 Activity The OpenAI Moderation API.mp4 (16.21 MB)
9 Activity The OpenAI Audio API (speech to text).mp4 (12.98 MB)
1 Retrieval Augmented Generation (RAG) How it works, with some examples.mp4 (92.89 MB)
10 Activity Building a Cdr Data chatbot with LLM Agents, web search & math tools.mp4 (263.83 MB)
2 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 (72.49 MB)
3 RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.mp4 (25.05 MB)
4 Activity Evaluating our RAG-based Cdr Data using RAGAS and langchain.mp4 (270.77 MB)
5 Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.mp4 (29.46 MB)
6 Advanced RAG Query Rewriting.mp4 (8.07 MB)
7 Advanced RAG Prompt Compression, and More Tuning Opportunities.mp4 (21.48 MB)
8 Activity Simulating Cdr Data with Advanced RAG and langchain.mp4 (264.42 MB)
9 LLM Agents and Swarms of Agents.mp4 (24.66 MB)
1 Your final project assignment Mammogram Classification.mp4 (51.6 MB)
2 Final project review.mp4 (64.49 MB)
1 More to Explore.mp4 (33.99 MB)
10 Activity Python Basics, Part 3 Optional.mp4 (2.44 MB)
11 Activity Python Basics, Part 4 Optional.mp4 (5.72 MB)
12 Introducing the Pandas Library Optional.mp4 (44.15 MB)
2 Udemy 101 Getting the Most From This Course.mp4 (17.4 MB)
5 Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 (101.97 MB)
6 Activity MAC Installing and Using Anaconda & Course Materials.mp4 (95.78 MB)
7 Activity LINUX Installing and Using Anaconda & Course Materials.mp4 (60.14 MB)
8 Python Basics, Part 1 Optional.mp4 (26.9 MB)
9 Activity Python Basics, Part 2 Optional.mp4 (20.62 MB)
1 Types of Data (Numerical, Categorical, Ordinal).mp4 (73.1 MB)
10 Activity Covariance and Correlation.mp4 (69.48 MB)
11 Exercise Conditional Probability.mp4 (93.95 MB)
12 Exercise Solution Conditional Probability of Purchase by Age.mp4 (15.01 MB)
13 Bayes' Theorem.mp4 (56.12 MB)
2 Mean, Median, Mode.mp4 (15.96 MB)
3 Activity Using mean, median, and mode in Python.mp4 (44.5 MB)
4 Activity Variation and Standard Deviation.mp4 (103.39 MB)
5 Probability Density Function Probability Mass Function.mp4 (6.92 MB)
6 Common Data Distributions (Normal, Binomial, Poisson, etc).mp4 (28.25 MB)
7 Activity Percentiles and Moments.mp4 (42.56 MB)
8 Activity A Crash Course in matplotlib.mp4 (88.69 MB)
9 Activity Advanced Visualization with Seaborn.mp4 (96.14 MB)
1 Activity Linear Regression.mp4 (92.96 MB)
2 Activity Polynomial Regression.mp4 (60.55 MB)
3 Activity Multiple Regression, and Predicting Car Prices.mp4 (94.14 MB)
4 Multi-Level Models.mp4 (27.22 MB)
1 Supervised vs Unsupervised Learning, and TrainTest.mp4 (56.68 MB)
10 Activity LINUX Installing Graphviz.mp4 (2.48 MB)
11 Decision Trees Concepts.mp4 (81.5 MB)
12 Activity Decision Trees Predicting Hiring Decisions.mp4 (57.79 MB)
13 Ensemble Learning.mp4 (36.96 MB)
14 Activity XGBoost.mp4 (79.28 MB)
15 Support Vector Machines (SVM) Overview.mp4 (16.35 MB)
16 Activity Using SVM to cluster people using scikit-learn.mp4 (38.49 MB)
2 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 (21.62 MB)
3 Bayesian Methods Concepts.mp4 (9.83 MB)
4 Activity Implementing a Spam Classifier with Naive Bayes.mp4 (81.39 MB)
5 K-Means Clustering.mp4 (26.02 MB)
6 Activity Clustering people based on income and age.mp4 (21.99 MB)
7 Measuring Entropy.mp4 (12.14 MB)
8 Activity WINDOWS Installing Graphviz.mp4 (949.33 KB)
9 Activity MAC Installing Graphviz.mp4 (9.07 MB)
1 User-Based Collaborative Filtering.mp4 (81.69 MB)
2 Item-Based Collaborative Filtering.mp4 (23.2 MB)
3 Activity Finding Movie Similarities using Cosine Similarity.mp4 (82.67 MB)
4 Activity Improving the Results of Movie Similarities.mp4 (56.06 MB)
5 Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 (124.11 MB)
6 Exercise Improve the recommender's results.mp4 (28 MB)
1 K-Nearest-Neighbors Concepts.mp4 (14.04 MB)
2 Activity Using KNN to predict a rating for a movie.mp4 (85.54 MB)
3 Dimensionality Reduction Principal Component Analysis (PCA).mp4 (38.13 MB)
4 Activity PCA Example with the Iris data set.mp4 (65.77 MB)
5 Data Warehousing Overview ETL and ELT.mp4 (58.71 MB)
6 Reinforcement Learning.mp4 (125.18 MB)
7 Activity Reinforcement Learning & Q-Learning with Gym.mp4 (62.79 MB)
8 Understanding a Confusion Matrix.mp4 (7.38 MB)
9 Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4 (11.67 MB)
1 BiasVariance Tradeoff.mp4 (23.63 MB)
10 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 (42.72 MB)
2 Activity K-Fold Cross-Validation to avoid overfitting.mp4 (56.9 MB)
3 Data Cleaning and Normalization.mp4 (73.09 MB)
4 Activity Cleaning web log data.mp4 (31.01 MB)
5 Normalizing numerical data.mp4 (10.32 MB)
6 Activity Detecting outliers.mp4 (27.15 MB)
7 Feature Engineering and the Curse of Dimensionality.mp4 (14.56 MB)
8 Imputation Techniques for Missing Data.mp4 (18.2 MB)
9 Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4 (17.43 MB)
10 Activity Searching Wikipedia with Spark.mp4 (84.01 MB)
11 Activity Using the Spark DataFrame API for MLLib.mp4 (65.11 MB)
3 Activity Installing Spark.mp4 (141.36 MB)
4 Spark Introduction.mp4 (24.96 MB)
5 Spark and the Resilient Distributed Dataset (RDD).mp4 (22.3 MB)
6 Introducing MLLib.mp4 (14.65 MB)
7 Introduction to Decision Trees in Spark.mp4 (133.95 MB)
8 Activity K-Means Clustering in Spark.mp4 (116.14 MB)
9 TF IDF.mp4 (65.66 MB)
1 Deploying Models to Real-Time Systems.mp4 (17.22 MB)
2 AB Testing Concepts.mp4 (32.02 MB)
3 T-Tests and P-Values.mp4 (14.08 MB)
4 Activity Hands-on With T-Tests.mp4 (47.77 MB)
5 Determining How Long to Run an Experiment.mp4 (9.75 MB)
6 AB Test Gotchas.mp4 (91.73 MB)
1 Deep Learning Pre-Requisites.mp4 (70.4 MB)
10 Convolutional Neural Networks (CNN's).mp4 (58.73 MB)
11 Activity Using CNN's for handwriting recognition.mp4 (52.82 MB)
12 Recurrent Neural Networks (RNN's).mp4 (32.81 MB)
13 Activity Using a RNN for sentiment analysis.mp4 (73.55 MB)
14 Activity Transfer Learning.mp4 (111.05 MB)
15 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4 (8.5 MB)
16 Deep Learning Regularization with Dropout and Early Stopping.mp4 (19.84 MB)
17 The Ethics of Deep Learning.mp4 (120.5 MB)
2 The History of Artificial Neural Networks.mp4 (68.87 MB)
3 Activity Deep Learning in the Tensorflow Playground.mp4 (55.69 MB)
4 Deep Learning Details.mp4 (30.9 MB)
5 Introducing Tensorflow.mp4 (46.63 MB)
6 Activity Using Tensorflow, Part 1.mp4 (107.7 MB)
7 Activity Using Tensorflow, Part 2.mp4 (95.13 MB)
8 Activity Introducing Keras.mp4 (72.03 MB)
9 Activity Using Keras to Predict Political Affiliations.mp4 (66.82 MB)
1 Variational Auto-Encoders (VAE's) - how they work.mp4 (42.88 MB)
2 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 (148.84 MB)
3 Generative Adversarial Networks (GAN's) - How they work.mp4 (15.24 MB)
4 Generative Adversarial Networks (GAN's) - Playing with some demos.mp4 (88.6 MB)
5 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 (126.11 MB)
6 Learning More about Deep Learning.mp4 (20.21 MB)
1 The Transformer Architecture (encoders, decoders, and self-attention ).mp4 (19.78 MB)
11 Activity Fine Tuning GPT with the IMDb dataset.mp4 (85.2 MB)
3 Applications of Transformers (GPT).mp4 (9.58 MB)
4 How GPT Works, Part 1 The GPT Transformer Architecture.mp4 (30.27 MB)
5 How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4 (14.76 MB)
6 Fine Tuning Transfer Learning with Transformers.mp4 (5.05 MB)
7 Activity Tokenization with Google CoLab and HuggingFace.mp4 (67.74 MB)
8 Activity Positional Encoding.mp4 (6.46 MB)
1 Activity The OpenAI Chat Completions API.mp4 (65.41 MB)
2 Activity Using Tools and Functions in the OpenAI Chat Completion API.mp4 (81.12 MB)
3 Activity The Images (DALL-E) API in OpenAI.mp4 (25.79 MB)
4 Activity The Embeddings API in OpenAI Finding similarities between words.mp4 (28.96 MB)
5 The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4 (11.68 MB)
6 Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 (166.5 MB)
7 The New OpenAI Fine-Tuning API Fine-Tuning GPT-3 5 to simulate Commander Data!.mp4 (318.98 MB)
8 Activity The OpenAI Moderation API.mp4 (16.21 MB)
9 Activity The OpenAI Audio API (speech to text).mp4 (12.98 MB)
1 Retrieval Augmented Generation (RAG) How it works, with some examples.mp4 (92.89 MB)
10 Activity Building a Cdr Data chatbot with LLM Agents, web search & math tools.mp4 (263.83 MB)
2 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 (72.49 MB)
3 RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.mp4 (25.05 MB)
4 Activity Evaluating our RAG-based Cdr Data using RAGAS and langchain.mp4 (270.77 MB)
5 Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.mp4 (29.46 MB)
6 Advanced RAG Query Rewriting.mp4 (8.07 MB)
7 Advanced RAG Prompt Compression, and More Tuning Opportunities.mp4 (21.48 MB)
8 Activity Simulating Cdr Data with Advanced RAG and langchain.mp4 (264.42 MB)
9 LLM Agents and Swarms of Agents.mp4 (24.66 MB)
1 Your final project assignment Mammogram Classification.mp4 (51.6 MB)
2 Final project review.mp4 (64.49 MB)
1 More to Explore.mp4 (33.99 MB)
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