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【压缩文件】 [ FreeCourseWeb.com ] Attacking Web Application Access Controls.zip

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[ FreeCourseWeb.com ] Attacking Web Application Access Controls.zip 341.2 MB

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【压缩文件】 sony-cyber-shot-application-software

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Sony Cyber-shot Application Software.iso 397.9 MB
Image1.jpg 6.7 MB
Image3.jpg 5.3 MB
Image2.jpg 5.2 MB
Image1_thumb.jpg 44.6 kB
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sony-cyber-shot-application-software_meta.sqlite 28.7 kB
sony-cyber-shot-application-software_meta.xml 901 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Drafting a full patent application.zip

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[ FreeCourseWeb.com ] Udemy - Drafting a full patent application.zip 635.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Deploying Your AWS Application to the Cloud with Docker.zip

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[ FreeCourseWeb.com ] Lynda - Deploying Your AWS Application to the Cloud with Docker.zip 144.7 MB

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【压缩文件】 application-and-driver-recovery.-7z

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Application and driver recovery.7z 698.9 MB
Compaq Windows XP SP2.7z 457.6 MB
Documentation.7z 288.9 MB
20220810_053855.jpg 1.0 MB
20220810_053629.jpg 940.9 kB
20220810_053756.jpg 822.6 kB
application-and-driver-recovery.-7z_meta.sqlite 45.1 kB
20220810_053629_thumb.jpg 11.7 kB
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application-and-driver-recovery.-7z_meta.xml 1.1 kB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Kubernetes Essential Training - Application Development.zip

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[ FreeCourseWeb.com ] Lynda - Kubernetes Essential Training - Application Development.zip 385.4 MB

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【压缩文件】 DesignOptimal.com - CodeCanyon - LaraClassified v9.0.0 - Classified Ads Web Application - 16458425 - NULLED.zip

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DesignOptimal.com - CodeCanyon - LaraClassified v9.0.0 - Classified Ads Web Application - 16458425 - NULLED.zip 191.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Personal Capital Free Financial Planner Application.zip

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[ FreeCourseWeb.com ] Udemy - Personal Capital Free Financial Planner Application.zip 1.8 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Salesforce App Portfolio Module 7 - Application Automation.zip

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【压缩文件】 DesignOptimal.com - CodeCanyon - MailWizz v2.0.15 - Email Marketing Application - 6122150 - NULLED.zip

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

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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】 Pluralsight Path. Machine Learning Literacy. Practical Application (2021)

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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