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【压缩文件】 [ FreeCourseWeb.com ] Learn Node.js by Building 6 Projects - Build six practical and instructive Node.js projects.zip

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[ FreeCourseWeb.com ] Learn Node.js by Building 6 Projects - Build six practical and instructive Node.js projects.zip 100.9 MB

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【压缩文件】 Udemy.Practical.Cajon.Course.400.Rhythms.Full.Version.TUTORiAL

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Cajon.part01.rar 1.0 GB
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【压缩文件】 [ FreeCourseWeb.com ] Practical Cyber Forensics- An Incident-Based Approach to Forensic Investigations.zip

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[ FreeCourseWeb.com ] Practical Cyber Forensics- An Incident-Based Approach to Forensic Investigations.zip 92.7 MB

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【压缩文件】 Practical Korean.zip

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Practical Korean.zip 427.3 MB

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【压缩文件】 [CourseClub.Me] TCM - Practical API Hacking

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【压缩文件】 [FreeCourseSite.com] Udemy - React Native - The Practical Guide [2023]

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[FreeCourseSite.com] Udemy - React Native - The Practical Guide [2023].part1.rar 4.3 GB
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【压缩文件】 [ TutGator.com ] Udemy - Practical Encryption.zip

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[ TutGator.com ] Udemy - Practical Encryption.zip 919.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] AWS Security Cookbook- Practical solutions for managing security policies, monitoring, auditing, and compliance with AWS.zip

收录时间:2023-12-21 文档个数:1 文档大小:118.3 MB 最近下载:2025-05-14 人气:708 磁力链接

[ FreeCourseWeb.com ] AWS Security Cookbook- Practical solutions for managing security policies, monitoring, auditing, and compliance with AWS.zip 118.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Practical Guide to Business Etiquette for Beginners.zip

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[ FreeCourseWeb.com ] Udemy - Practical Guide to Business Etiquette for Beginners.zip 1.5 GB

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【压缩文件】 [FreeCoursesOnline.Me] Practical Core Data A modern guide to the Core Data framework [eBook]

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code.zip 188.7 MB
Practical Core Data.epub 14.8 MB
Practical Core Data.pdf 10.6 MB
OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377 Bytes
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【压缩文件】 freetutorialshub.com-udemy-data-entry-course-for-beginners-with-practical-works

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[ FreeCourseWeb.com ] Udemy - Data Entry Course for Beginners - with Practical Works!.zip 448.0 MB
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【压缩文件】 Practical Transfer Learning (Deep Learning) in Python

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[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1.2 train.zip 569.6 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/4. Becoming Poet Part 2.mp4 137.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/1. Data Preparation-1.mp4 135.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/2. Dataset Preparation for Custom Model.mp4 129.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/3. Dataset Preparation for Custom Model.mp4 129.4 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/1. Checking against pre-trained model.mp4 111.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/2. Direct Use of Model.mp4 111.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/5. Resnet Custom Model.mp4 99.0 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/2. Existing Models Checking.mp4 94.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/4. Basic CNN Model-1.mp4 91.7 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/5. Transfer Learning in Python/4. Making of Custom Model - Last Layer change.mp4 86.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/7. (Optional ) 4 Classes Model (Cat , dog, horse, human)/3. Custom Model.mp4 86.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/3. Data Loading -1.mp4 86.1 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/8. (Optional)Full Demo - DOG CAT Classifier/2. Image to Numpy Array.mp4 78.7 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/1. Introduction/3. Becoming Poet Part 1.mp4 77.9 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/6. Fitting Custom Resnet Model.mp4 77.1 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/6. Monkey Species Classification/4. Data Loading One Hot Encoding.mp4 74.2 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/9. Tensorflow.js Model Deployment with p5.mp4 69.3 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/12. Android Deployment.mp4 62.6 MB
[TutsNode.net] - Practical Transfer Learning (Deep Learning) in Python/3. Google Teachable Machine - Unlimited edge for Transfer Learning/4. Audio Classification - Man in Black.mp4 57.5 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Systematic Literature Review - A Practical Guide.zip

收录时间:2023-12-28 文档个数:1 文档大小:1.1 GB 最近下载:2025-05-14 人气:1494 磁力链接

[ FreeCourseWeb.com ] Udemy - Systematic Literature Review - A Practical Guide.zip 1.1 GB

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【压缩文件】 Pluralsight Path. Machine Learning Literacy. Practical Application (2021)

收录时间:2023-12-30 文档个数:388 文档大小:1.5 GB 最近下载:2025-05-16 人气:7903 磁力链接

5. Machine Learning for Retail (Janani Ravi, 2021)/exercise.7z 39.2 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/4. Performing Regression Analysis/5. Demo - Regression Analysis Using a Single Predictor.mp4 14.2 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/2. Introducing Data-driven Decision Making/4. Steps in Data-driven Decision Making.mp4 14.1 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/3. Interpreting Data Using Statistical Test/8. Demo - Paired Samples t-test.mp4 14.0 MB
4. Machine Learning for Financial Services (Janani Ravi, 2021)/exercise.7z 13.9 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/2. Exploring Applications of Machine Learning in Healthcare/8. Convolutional Neural Networks to Work with Images.mp4 13.9 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/5. Applying Machine Learning Techniques to Healthcare Data/5. Demo - Predicting Liver Disease - Performing Classification.mp4 13.8 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/2. Understanding Descriptive Statistics and Probability Distributions/12. Demo - Skewness and Kurtosis.mp4 13.6 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/4. Case Study BADIR Framework - Winery and Wedding Event Company.mp4 13.4 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/5. Applying Machine Learning Techniques to Healthcare Data/3. Demo - Predicting Blood Pressure - Performing Regression.mp4 13.4 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/1. Case Study - Hospitality Industry.mp4 13.2 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/3. Exploring Decision Frameworks/6. Porters Five Forces Framework.mp4 13.1 MB
1. Key Concepts Machine Learning (Janani Ravi, 2021)/4. Applying Machine Learning to Complex Data/6. Applying Machine Learning to Speech Data.mp4 13.1 MB
5. Machine Learning for Retail (Janani Ravi, 2021)/2. Exploring Applications of Machine Learning in Retail/09. Machine Learning for Visual Search.mp4 13.0 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/3. Interpreting Data Using Statistical Test/6. Demo - Two Sample t-test Part I.mp4 12.7 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/4. Case Study - Diagnosis Using Medical Imaging/1. Diagnosis Using Medical Imaging - Background and Context.mp4 12.5 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/3. Exploring Decision Frameworks/1. Data-enabled Decision Theory.mp4 12.5 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/3. Case Study - Disease Detection Using Machine Learning/1. Chronic Disease Detection - Background and Context.mp4 12.5 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/4. Performing Regression Analysis/6. Demo - Preprocessing Data for Multiple Regression.mp4 12.4 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/2. Case Study - Digital Gaming Platform.mp4 12.4 MB

猜你喜欢： Practical Pluralsight Machine Application 2021 Learning Path Literacy

【压缩文件】 Pluralsight Path. Deep Learning Literacy. Practical Application (2022)

收录时间:2023-12-30 文档个数:486 文档大小:1.9 GB 最近下载:2025-05-16 人气:5734 磁力链接

C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/exercise.7z 73.1 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/2. Demo - Fine Tuning Glove and FastText.mp4 67.6 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/6. Demo - Training a CBOW Embedding.mp4 42.4 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/4. Demo - Debiase Word Embeddings.mp4 40.3 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/3. Demo - Using OHE.mp4 33.5 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/2. Preparing Data for Model Training/3. Demo - Bringing It into Practice.mp4 31.4 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/07. Demo - Exploratory Data Analysis and Data Cleaning.mp4 30.6 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/7. Demo - Reanalyze Sentiment with a Network-based Embedding.mp4 27.7 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/exercise.7z 27.3 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/2. Demo - Load and Explore the Dataset.mp4 26.3 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/3. Training/4. Training a Model - Scripted and PaaS.mp4 24.4 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/09. Demo - Building a Model for Anomaly Detection.mp4 23.5 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/4. Demo - Analyzing Sentiment with OHE.mp4 23.5 MB
C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/3. Memory-based Collaborative Filtering/5. Demo - User-based Collaborative Filtering.mp4 23.0 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/3. Demo - Pre-processing the Images Data.mp4 22.7 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/3. Demo - Making Word Clusters.mp4 21.4 MB
C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/3. Memory-based Collaborative Filtering/6. Demo - Item-based Collaborative Filtering.mp4 21.2 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/4. Demo - Pre-processing the Captions Data.mp4 20.6 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/4. Deployment/2. Drift, Retaining, and Model Store.mp4 20.1 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/08. Demo - Data Preprocessing and Dimensionality Reduction.mp4 19.2 MB

猜你喜欢： Pluralsight 2022 Deep Practical Application Learning Path Literacy

【压缩文件】 [ FreeCourseWeb.com ] Udemy - Practical MongoDB - For Absolute Beginners.zip

收录时间:2024-01-02 文档个数:1 文档大小:233.8 MB 最近下载:2025-05-11 人气:230 磁力链接

[ FreeCourseWeb.com ] Udemy - Practical MongoDB - For Absolute Beginners.zip 233.8 MB

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【压缩文件】 [ DevCourseWeb.com ] Practical OpenShift for Developers.zip

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[ DevCourseWeb.com ] Practical OpenShift for Developers.zip 1.5 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - React and Golang - A Practical Guide.zip

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[ DevCourseWeb.com ] Udemy - React and Golang - A Practical Guide.zip 2.6 GB

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