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【影视】 [GigaCourse.Com] Udemy - Build Spark Machine Learning and Analytics (5 Projects)

收录时间:2022-02-22 文档个数:190 文档大小:3.5 GB 最近下载:2025-05-11 人气:2055 磁力链接

03 - Build Apache Spark Machine Learning Project (Prediction Shopper Purchase Intent)/018 Project Explanation Part 8.mp4 282.3 MB
02 - Build Apache Spark Machine Learning Project (Banking Domain)/016 Project Explanation Part 6.mp4 268.2 MB
01 - Build Apache Spark Machine Learning Project for eCommerce/016 Project Explanation Part 5.mp4 261.7 MB
04 - Build Apache Spark Analytics Project using Web Server Log/012 Project Explanation Part 4.mp4 164.2 MB
05 - Predictive Analytics with Apache Spark including Project/012 Building a Classification Model.mp4 115.8 MB
04 - Build Apache Spark Analytics Project using Web Server Log/014 Project Explanation Part 6.mp4 108.2 MB
04 - Build Apache Spark Analytics Project using Web Server Log/013 Project Explanation Part 5.mp4 101.9 MB
05 - Predictive Analytics with Apache Spark including Project/010 Basics of DataFrames.mp4 87.9 MB
05 - Predictive Analytics with Apache Spark including Project/014 Building a Regression Model.mp4 84.2 MB
04 - Build Apache Spark Analytics Project using Web Server Log/011 Project Explanation Part 3.mp4 84.1 MB
01 - Build Apache Spark Machine Learning Project for eCommerce/015 Project Explanation Part 4.mp4 73.1 MB
01 - Build Apache Spark Machine Learning Project for eCommerce/013 Project Explanation Part 2.mp4 70.5 MB
02 - Build Apache Spark Machine Learning Project (Banking Domain)/012 Project Explanation Part 2.mp4 68.8 MB
03 - Build Apache Spark Machine Learning Project (Prediction Shopper Purchase Intent)/013 Project Explanation Part 3.mp4 65.6 MB
03 - Build Apache Spark Machine Learning Project (Prediction Shopper Purchase Intent)/012 Project Explanation Part 2.mp4 64.8 MB
02 - Build Apache Spark Machine Learning Project (Banking Domain)/015 Project Explanation Part 5.mp4 55.2 MB
03 - Build Apache Spark Machine Learning Project (Prediction Shopper Purchase Intent)/017 Project Explanation Part 7.mp4 51.9 MB
03 - Build Apache Spark Machine Learning Project (Prediction Shopper Purchase Intent)/015 Project Explanation Part 5.mp4 50.6 MB
01 - Build Apache Spark Machine Learning Project for eCommerce/001 Introduction.mp4 49.1 MB
04 - Build Apache Spark Analytics Project using Web Server Log/001 Introduction.mp4 48.6 MB

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【影视】 Learning the Hard Way.mp4

收录时间:2017-05-09 文档个数:1 文档大小:46.1 MB 最近下载:2025-05-11 人气:132 磁力链接

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【影视】 [UdemyCourseDownloader] Building Recommender Systems with Machine Learning and AI

收录时间:2024-07-04 文档个数:222 文档大小:4.8 GB 最近下载:2025-05-11 人气:94 磁力链接

08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 109.1 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB

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【影视】 [GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

收录时间:2023-12-17 文档个数:538 文档大小:17.2 GB 最近下载:2025-05-11 人气:3503 磁力链接

19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB

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【影视】 [ CourseWikia.com ] Linkedin - Learning Spring with Spring Boot (2022)

收录时间:2022-01-26 文档个数:562 文档大小:354.3 MB 最近下载:2025-05-11 人气:1819 磁力链接

~Get Your Files Here !/[4] 3. Service Tier/[3] Develop a service object with Spring.mp4 37.3 MB
~Get Your Files Here !/[6] 5. Exposing RESTful Endpoints/[4] Solution RESTful endpoints.mp4 26.3 MB
~Get Your Files Here !/[3] 2. Data Access in Spring/[3] Repositories with Spring Data.mp4 23.1 MB
~Get Your Files Here !/[3] 2. Data Access in Spring/[2] Embedded databases with Spring Boot.mp4 18.8 MB
~Get Your Files Here !/[5] 4. Web Pages with Spring/[2] Build your first controller.mp4 18.5 MB
~Get Your Files Here !/[3] 2. Data Access in Spring/[6] Solution Build an additional repository.mp4 17.8 MB
~Get Your Files Here !/[2] 1. Getting Started with Spring Boot/[4] Examining a Spring Boot skeleton project.mp4 17.7 MB
~Get Your Files Here !/[6] 5. Exposing RESTful Endpoints/[2] Expose a service layer through REST.mp4 17.4 MB
~Get Your Files Here !/[2] 1. Getting Started with Spring Boot/[3] Create a project with Spring Initializr.mp4 16.5 MB
~Get Your Files Here !/[5] 4. Web Pages with Spring/[3] Thymeleaf as a rendering engine.mp4 16.5 MB
~Get Your Files Here !/[3] 2. Data Access in Spring/[4] Using a remote database.mp4 15.0 MB
~Get Your Files Here !/[2] 1. Getting Started with Spring Boot/[1] Introduction to Spring.mp4 10.0 MB
~Get Your Files Here !/[2] 1. Getting Started with Spring Boot/[2] Introduction to Spring Boot.mp4 9.9 MB
~Get Your Files Here !/[7] 6. Additional Topics/[3] Other projects.mp4 9.5 MB
~Get Your Files Here !/[2] 1. Getting Started with Spring Boot/[5] Inversion of control.mp4 9.4 MB
~Get Your Files Here !/[1] Introduction/[2] What you should know.mp4 9.1 MB
~Get Your Files Here !/[1] Introduction/[1] Learn rapid development with Spring Boot.mp4 9.0 MB
~Get Your Files Here !/[5] 4. Web Pages with Spring/[1] Introduction to the controller.mp4 8.9 MB
~Get Your Files Here !/[7] 6. Additional Topics/[1] Testing Spring Boot applications.mp4 8.7 MB
~Get Your Files Here !/[5] 4. Web Pages with Spring/[5] Solution Create a web page.mp4 8.6 MB

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【压缩文件】 [ FreeCourseWeb.com ] The Machine Learning Course by Mohammad Mostafizur Rahaman.zip

收录时间:2021-03-12 文档个数:1 文档大小:302.1 MB 最近下载:2025-05-11 人气:380 磁力链接

[ FreeCourseWeb.com ] The Machine Learning Course by Mohammad Mostafizur Rahaman.zip 302.1 MB

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收录时间:2021-03-08 文档个数:1 文档大小:1.6 GB 最近下载:2025-05-11 人气:172 磁力链接

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【其他】 Learning Adobe Photoshop CC + All Working Files - Learn Photoshop from the ground up

收录时间:2017-02-22 文档个数:4 文档大小:3.4 GB 最近下载:2025-05-11 人气:618 磁力链接

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【影视】 [DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

收录时间:2021-03-15 文档个数:85 文档大小:866.4 MB 最近下载:2025-05-11 人气:1036 磁力链接

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix/13. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
4. Random Forest/1. Random Forest Algorithm.mp4 15.1 MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 13.6 MB
6. Appendix/2. Confidence Intervals.mp4 13.2 MB
4. Random Forest/3. Random Forest Classifier.mp4 13.2 MB
5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4 11.7 MB