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【影视】 [FreeCourseLab.com] Udemy - Introduction to Machine Learning for Data Science

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10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB

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【影视】 [GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

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15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
19. Test Train Split/4. Test train split in R.mp4 79.3 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB

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【影视】 Babes - Abella Danger Hands-On Learning [720p HD].mp4

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Babes - Abella Danger Hands-On Learning [720p HD].mp4 663.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

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4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
15. Data Visualization with R/2. Histograms.mp4 59.7 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning with TensorFlow 2.0 [2020]

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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【影视】 GirlsGonePink - Molly Stewart, Scarlett Mae - Learning To Get Along

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GirlsGonePink - Molly Stewart, Scarlett Mae - Learning To Get Along.mp4 281.1 MB
RARBG.nfo 32 Bytes

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【影视】 [Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional

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12. Project 7 Text Classification/2. Feature Engineering.mp4 393.6 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 374.9 MB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 338.8 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 271.4 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 242.1 MB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 227.5 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 219.7 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 215.6 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 214.2 MB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 208.0 MB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4 194.0 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 189.3 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 179.1 MB
14. Project 9 PCA/2. The Elbow Method.mp4 119.7 MB
6. Warmup Project/3. Building and Training the Network Part 2.mp4 66.4 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 55.6 MB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 51.3 MB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 39.4 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 38.0 MB
6. Warmup Project/2. Building and Training the Network Part 1.mp4 37.8 MB

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【影视】 [GigaCourse.com] Udemy - Learn Python 3 - Your First Step to Learning Python

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2. Setup a Proper Python Environment/1. Download All Python Environment Software.mp4 76.3 MB
9. Python Dictionaries/2. Accessing Items Dictionary Keys.mp4 68.6 MB
10. Python Sets/2. Unordered and Unindexed Python Set.mp4 65.4 MB
9. Python Dictionaries/6. Dictionary Methods.mp4 64.6 MB
6. Python Strings/1. String Literals In Python.mp4 62.1 MB
10. Python Sets/3. Set Methods.mp4 59.2 MB
7. Python Lists/5. Update Python List Values.mp4 56.9 MB
3. Python Getting Started/3. Python Statement Order.mp4 55.5 MB
9. Python Dictionaries/1. Create A Python Dictionary.mp4 54.0 MB
4. Python Variables/1. Introduction to Python Variables.mp4 52.8 MB
7. Python Lists/4. Multi-Dimensional Python Lists.mp4 52.4 MB
7. Python Lists/3. Mutable vs Immutable Objects In Python.mp4 52.3 MB
6. Python Strings/9. Python String Methods split() and join().mp4 48.8 MB
9. Python Dictionaries/4. Deleting and Clearing Python Dictionary items.mp4 46.9 MB
9. Python Dictionaries/3. Python Dictionary update().mp4 46.7 MB
6. Python Strings/8. Python Slice().mp4 45.1 MB
7. Python Lists/8. Python Variable Synchronization and copy().mp4 45.1 MB
6. Python Strings/4. Python Escape.mp4 44.9 MB
3. Python Getting Started/2. Code Blocks and Indentation In Python.mp4 43.6 MB
5. Python Numbers/1. Python Arithmetic and Assignment Operators.mp4 43.2 MB

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【影视】 Linkedin - Learning Managing Python

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06 - Development Process/08 - Solution Implement features.mp4 9.7 MB
02 - Why Management Is Important/01 - Working together as a team.mp4 8.3 MB
05 - Testing/05 - Skipping and marks.mp4 7.4 MB
05 - Testing/03 - Pytest overview.mp4 7.4 MB
06 - Development Process/05 - Code review.mp4 5.5 MB
06 - Development Process/02 - Source control.mp4 5.4 MB
06 - Development Process/03 - Issue tracking.mp4 5.3 MB
04 - Dependency Management/02 - Package managers.mp4 5.2 MB
06 - Development Process/04 - Feature branches.mp4 5.0 MB
01 - Introduction/01 - Managing Python day-to-day.mp4 5.0 MB
04 - Dependency Management/01 - The problem.mp4 4.9 MB
04 - Dependency Management/03 - virtualenvs.mp4 4.4 MB
04 - Dependency Management/06 - Solution Create environment.mp4 3.8 MB
04 - Dependency Management/04 - Production vs. development.mp4 3.8 MB
05 - Testing/08 - Solution Test cases from file.mp4 3.7 MB
03 - Directory Structure/05 - Makefile.mp4 3.7 MB
05 - Testing/04 - Fixtures.mp4 3.4 MB
03 - Directory Structure/01 - Overview.mp4 3.2 MB
03 - Directory Structure/06 - setup.py.mp4 3.2 MB
05 - Testing/02 - How much to test.mp4 3.2 MB

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【影视】 GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

收录时间:2021-04-27 文档个数:850 文档大小:20.6 GB 最近下载:2025-05-09 人气:1079 磁力链接

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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Brooklyn Chase & Gianna Gem - Learning To Fuck With My Step-Parents (31.05.2019)_480p.mp4 463.6 MB

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【影视】 Great.Parks.of.Africa.S01E06.Chobe-Land.of.Learning.1080p.WEB.h264-CAFFEiNE[eztv.io].mkv

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【影视】 Learn Data Mining and Machine Learning With Python

收录时间:2021-04-26 文档个数:192 文档大小:3.2 GB 最近下载:2025-04-29 人气:2190 磁力链接

[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/24. Create Multiple Linear Regression Model in Python-Part 1.mp4 181.0 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/25. Create Multiple Linear Regression Model in Python-Part 2.mp4 148.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/26. Create Multiple Linear Regression Model in Python-Part 3.mp4 144.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/15. Create Simple Linear Regression Model in Python-Part 2.mp4 135.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/5. Create Hierarchical Clustering Algorithm in Python-1.mp4 134.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/31. Create Polynomial Regression Model in Python-Part 2.mp4 130.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/38. Create Logistic Regression Model in Python-Part 1.mp4 117.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/27. Create Multiple Linear Regression Model in Python-Part 4.mp4 86.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/30. Create Polynomial Regression Model in Python-Part 1.mp4 83.2 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/9. Create K-means Clustering Algorithm Model in Python - 1.mp4 82.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/6. Create Hierarchical Clustering Algorithm in Python-2.mp4 75.6 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/17. Create Simple Linear Regression Model in Python-Part 4.mp4 73.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4 72.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/50. Create Random Forest Model in Python.mp4 72.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/8. Create Artificial Neural Network Model in Python Part-2.mp4 72.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/16. Create Simple Linear Regression Model in Python-Part 3.mp4 69.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/9. Create Artificial Neural Network Model in Python Part-3.mp4 68.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/41. Create KNN Model in Python.mp4 68.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/7. Create Artificial Neural Network Model in Python Part-1.mp4 68.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/39. Create Logistic Regression Model in Python-Part 2.mp4 62.5 MB

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【影视】 Machine Learning and Artificial Intelligence with Javascript

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[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/3. Basics of Tensorflow.js/1. General Overview.mp4 230.3 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/3. Basics of Tensorflow.js/8. Layers API ( Part 2).mp4 141.8 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/9. Basics of ML5.js/1. General Overview.mp4 123.1 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/4. Real Time Object Detection/7. Loading the Model and Getting the InferencePrediction.mp4 78.0 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/3. Basics of Tensorflow.js/7. Layers API ( Part 1 ).mp4 73.6 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/8. Making a Q&A Chatbot using BERT/6. Coding the UI and Linking Everything up.mp4 73.0 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/4. Real Time Object Detection/8. Drawing Bounding Box and Testing the app (Part 1).mp4 72.6 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/7. Speech Command Recognition/3. Loading Model.mp4 71.3 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/4. Real Time Object Detection/6. Setting of Webcam parameters.mp4 69.1 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/8. Making a Q&A Chatbot using BERT/5. Answering Question.mp4 68.3 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/6. Sentiment Analysis/5. Running Prediction and Setting up the UI.mp4 67.4 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/13. Pose Detection/6. Drawing Skeleton.mp4 64.8 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/5. Real Time Body Segmentation/6. Completing Webcam and Canvas Setup And Getting Prediction from the model.mp4 63.5 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/7. Speech Command Recognition/5. Make Prediction and Show on the Screen.mp4 60.0 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/7. Speech Command Recognition/4. Test Prediction.mp4 59.9 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/2. Basic of Javascript/20. JavaScript Arrays.mp4 56.4 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/12. Face Landmark Detection/6. Detecting the Face.mp4 55.6 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/13. Pose Detection/5. Drawing Keypoints.mp4 54.4 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/4. Real Time Object Detection/4. Setting The UI ( Part 1 ).mp4 53.5 MB
[TutsNode.com] - Machine Learning and Artificial Intelligence with Javascript/5. Real Time Body Segmentation/7. Drawing Segments And Testing the Model.mp4 53.4 MB

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【影视】 podcast_problem-based-learning-new_energy-flow-lesson-using-micro_1000111070244

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podcast_problem-based-learning-new_energy-flow-lesson-using-micro_1000111070244.mov 21.1 MB
podcast_problem-based-learning-new_energy-flow-lesson-using-micro_1000111070244_itemimage.png 164.4 kB
podcast_problem-based-learning-new_energy-flow-lesson-using-micro_1000111070244_meta.sqlite 18.4 kB
podcast_problem-based-learning-new_energy-flow-lesson-using-micro_1000111070244_meta.xml 1.7 kB
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【影视】 Lynda - Learning Aerial Photography with Drones

收录时间:2021-04-26 文档个数:45 文档大小:842.9 MB 最近下载:2025-05-16 人气:1218 磁力链接

12. Preflight checklist.mp4 45.0 MB
1. What you'll learn in this course.mp4 37.4 MB
9. Understanding weather conditions that affect flight.mp4 30.5 MB
27. Configuring your drone for panoramic images and essential apps.mp4 30.1 MB
21. Establishing a landing zone.mp4 29.9 MB
13. Positioning the camera.mp4 28.9 MB
33. Merging tough panoramic images in Photoshop.mp4 25.0 MB
8. Taking your drone on a commercial airline.mp4 24.7 MB
35. Merging 360 panoramic images in PTGui.mp4 23.2 MB
28. Shooting strategies for panoramic images.mp4 22.9 MB
17. Choosing the right exposure.mp4 21.6 MB
34. Merging 360 panoramic images in Photoshop.mp4 21.4 MB
6. Flying with a two-person team.mp4 21.3 MB
22. Essential developing strategies for photos in Lightroom.mp4 20.3 MB
37. Configuring your drone for HDR images.mp4 20.1 MB
7. Making sure your drone is registered.mp4 20.0 MB
43. Merging tough HDR images with Photomatix Pro.mp4 19.4 MB
14. Composition strategies.mp4 19.4 MB
20. When to land.mp4 19.1 MB
36. Adding 360 sky in Photoshop.mp4 18.6 MB

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【影视】 [FreeCourseSite.com] Udemy - Learn Machine learning & AI (Including Hands-on 3 Projects)

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2. Project 2 - Deep Learning Project Dog Breed Prediction (Kaggle dataset)/1. Dog Breed Prediction.mp4 397.0 MB
1. Project 1 - AI Project Web application for Object Identification/4. Integrating web application with deep learning backend.mp4 150.4 MB
1. Project 1 - AI Project Web application for Object Identification/1. Project Requirements & Django Project Creation.mp4 146.2 MB
1. Project 1 - AI Project Web application for Object Identification/2. Backend creation using pretrained Keras model - Resnet50.mp4 124.6 MB
3. AI Project End to End Credit Card Fraud Detection/23. Module 4 Hyperparameter Tuning.mp4 98.9 MB
1. Project 1 - AI Project Web application for Object Identification/3. Adding Form to django App & uploading image.mp4 96.9 MB
3. AI Project End to End Credit Card Fraud Detection/29. Module 5 Model behind REST using Flask.mp4 61.5 MB
3. AI Project End to End Credit Card Fraud Detection/28. Module 5 Model behind Kafka Consumer.mp4 61.1 MB
3. AI Project End to End Credit Card Fraud Detection/24. Module 4 Stitching all components.mp4 41.7 MB
3. AI Project End to End Credit Card Fraud Detection/21. Module 4 Class to connect Cassandra.mp4 31.0 MB
3. AI Project End to End Credit Card Fraud Detection/13. Module 2 Cassandra Installation.mp4 26.5 MB
3. AI Project End to End Credit Card Fraud Detection/22. Module 4 Class code for Model Config & Training.mp4 24.2 MB
3. AI Project End to End Credit Card Fraud Detection/18. Module 3 Connecting transformers & estimators using Pipeline.mp4 24.0 MB
3. AI Project End to End Credit Card Fraud Detection/26. Module 5 Model Persistence & Selection.mp4 23.3 MB
3. AI Project End to End Credit Card Fraud Detection/16. Module 3 Sampling Techniques.mp4 21.3 MB
3. AI Project End to End Credit Card Fraud Detection/10. Module 2 Kafka Installation.mp4 21.1 MB
3. AI Project End to End Credit Card Fraud Detection/20. Module 4 Code Flow.mp4 15.5 MB
3. AI Project End to End Credit Card Fraud Detection/15. Module 3 Loading & Preprocessing of Data.mp4 14.2 MB
3. AI Project End to End Credit Card Fraud Detection/6. Module 1 Solution System Design.mp4 12.0 MB
3. AI Project End to End Credit Card Fraud Detection/4. Module 1 Kafka for gathering live credit card data.mp4 11.0 MB

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【影视】 [FreeCoursesOnline.Me] [Coursera] Bayesian Methods for Machine Learning - [FCO]

收录时间:2021-04-25 文档个数:136 文档大小:2.4 GB 最近下载:2025-05-15 人气:2456 磁力链接

007.Latent Dirichlet Allocation/036. LDA M-step & prediction.mp4 98.0 MB
006.Variational inference/028. Mean field approximation.mp4 81.1 MB
007.Latent Dirichlet Allocation/034. LDA E-step, theta.mp4 79.2 MB
011.Gaussian Processes and Bayesian Optimization/062. Derivation of main formula.mp4 73.3 MB
006.Variational inference/029. Example Ising model.mp4 71.5 MB
004.Expectation Maximization algorithm/017. E-step details.mp4 69.5 MB
004.Expectation Maximization algorithm/020. Example EM for discrete mixture, M-step.mp4 68.6 MB
005.Applications and examples/022. General EM for GMM.mp4 65.6 MB
008.MCMC/041. Gibbs sampling.mp4 64.4 MB
001.Introduction to Bayesian methods/004. Example thief & alarm.mp4 62.8 MB
007.Latent Dirichlet Allocation/035. LDA E-step, z.mp4 62.1 MB
004.Expectation Maximization algorithm/019. Example EM for discrete mixture, E-step.mp4 59.1 MB
001.Introduction to Bayesian methods/005. Linear regression.mp4 52.5 MB
009.Variational autoencoders/052. Scaling variational EM.mp4 50.1 MB
008.MCMC/040. Markov Chains.mp4 49.3 MB
008.MCMC/039. Sampling from 1-d distributions.mp4 49.3 MB
008.MCMC/047. MCMC for LDA.mp4 49.0 MB
008.MCMC/038. Monte Carlo estimation.mp4 46.7 MB
008.MCMC/044. Metropolis-Hastings choosing the critic.mp4 44.0 MB
005.Applications and examples/025. Probabilistic PCA.mp4 40.9 MB

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【影视】 Graias - The Cost Of Learning 02 20.08.2019.1080p.mp4

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Graias - The Cost Of Learning 02 20.08.2019.1080p.mp4 642.6 MB

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【影视】 [DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

收录时间:2021-04-25 文档个数:223 文档大小:7.3 GB 最近下载:2025-05-16 人气:1660 磁力链接

6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB

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