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【影视】 [CourseClub.Me] O`REILLY - Data Science Bookcamp, video edition

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113 - Chapter 21. Measuring feature importance with coefficients.mp4 97.7 MB
71 - Chapter 15. Clustering texts by topic, Part 2.mp4 91.3 MB
66 - Chapter 15. Vectorizing documents using scikit-learn.mp4 91.3 MB
86 - Case study 5 - Predicting future friendships from social network data.mp4 84.3 MB
23 - Chapter 7. Data dredging - Coming to false conclusions through oversampling.mp4 83.8 MB
14 - Chapter 5. Basic probability and statistical analysis using SciPy.mp4 79.9 MB
98 - Chapter 19. Community detection using Markov clustering, Part 2.mp4 78.9 MB
93 - Chapter 19. Dynamic graph theory techniques for node ranking and social network analysis.mp4 78.7 MB
87 - Chapter 18. An introduction to graph theory and network analysis.mp4 78.5 MB
16 - Chapter 5. Variance as a measure of dispersion.mp4 77.5 MB
70 - Chapter 15. Clustering texts by topic, Part 1.mp4 76.9 MB
109 - Chapter 21. Training a linear classifier, Part 2.mp4 76.8 MB
81 - Chapter 17. Filtering jobs by relevance.mp4 76.7 MB
44 - Chapter 12. Visualizing and clustering the extracted location data.mp4 74.2 MB
84 - Chapter 17. Exploring clusters at alternative values of K.mp4 72.7 MB
42 - Chapter 11. Limitations of the GeoNamesCache library.mp4 72.5 MB
36 - Chapter 10. Clustering based on non-Euclidean distance.mp4 72.1 MB
64 - Chapter 14. Efficient dimension reduction using SVD and scikit-learn.mp4 71.9 MB
22 - Chapter 7. Assessing the divergence between sample mean and population mean.mp4 71.6 MB
82 - Chapter 17. Clustering skills in relevant job postings.mp4 69.8 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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【影视】 GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science with Python A-Z

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4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] The complete Machine Learning Data Science Course in Python (Updated).zip

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【影视】 [ DevCourseWeb.com ] Udemy - Numpy - The ultimate course on python numpy for data analytics

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~Get Your Files Here !/03 - Accessing numpy array/004 NumPy - Iterating Over Array.mp4 142.0 MB
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~Get Your Files Here !/05 - Advanced operations on numpy array/004 NumPy - Matplotlib.mp4 112.6 MB
~Get Your Files Here !/03 - Accessing numpy array/002 NumPy - Advanced Indexing.mp4 111.3 MB
~Get Your Files Here !/04 - Operations on numpy array/004 NumPy - Arithmetic Operations.mp4 110.3 MB
~Get Your Files Here !/02 - NumPy Array Creation/002 NumPy - Array From Existing Data.mp4 105.9 MB
~Get Your Files Here !/01 - Introduction to numpy/004 NumPy - Data Types.mp4 99.9 MB
~Get Your Files Here !/02 - NumPy Array Creation/003 NumPy - Array From Numerical Ranges.mp4 94.9 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/001 NumPy - Copies & Views.mp4 86.4 MB
~Get Your Files Here !/04 - Operations on numpy array/001 NumPy - Array Manipulation.mp4 80.9 MB
~Get Your Files Here !/03 - Accessing numpy array/003 NumPy - Broadcasting.mp4 76.3 MB
~Get Your Files Here !/01 - Introduction to numpy/005 NumPy - Array Attributes.mp4 72.3 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/002 NumPy - Matrix Library.mp4 68.2 MB
~Get Your Files Here !/02 - NumPy Array Creation/001 NumPy - Array Creation Routines.mp4 66.8 MB
~Get Your Files Here !/01 - Introduction to numpy/003 NumPy - Ndarray Object.mp4 65.6 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/005 NumPy - Histogram Using Matplotlib.mp4 43.8 MB
~Get Your Files Here !/04 - Operations on numpy array/006 NumPy - Sort, Search & Counting Functions.mp4 43.6 MB
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【影视】 [FreeAllCourse.Com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

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6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
4. Matrices/9. Advanced Function Design.mp4 59.5 MB
7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
4. Matrices/8. Creating Your First Function.mp4 50.9 MB
5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
4. Matrices/10. Basketball Insights.mp4 43.5 MB
5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Complete Time Series Data Analysis Bootcamp In R.zip

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【压缩文件】 ( life-forum.top) [skillbox] Основы математики для Data Science (2020).zip

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【影视】 [FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

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07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Azure Data Studio for beginners

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~Get Your Files Here !/1. Azure Data Studio SQL Server Setup/5. Install SQL Server.mp4 65.6 MB
~Get Your Files Here !/4. Connect Azure Data Studio to Azure SQL Database/3. Create a table.mp4 56.2 MB
~Get Your Files Here !/2. Azure SQL Database Setup/2. Creating Azure Account.mp4 41.1 MB
~Get Your Files Here !/4. Connect Azure Data Studio to Azure SQL Database/2. Create a new database.mp4 29.7 MB
~Get Your Files Here !/2. Azure SQL Database Setup/1. What is Azure.mp4 28.9 MB
~Get Your Files Here !/2. Azure SQL Database Setup/4. Create a database in azure portal.mp4 28.5 MB
~Get Your Files Here !/2. Azure SQL Database Setup/5. Query database in azure portal.mp4 25.3 MB
~Get Your Files Here !/1. Azure Data Studio SQL Server Setup/4. Download SQL Server.mp4 24.4 MB
~Get Your Files Here !/4. Connect Azure Data Studio to Azure SQL Database/4. Insert data and query data.mp4 20.0 MB
~Get Your Files Here !/3. Connect Azure Data Studio to SQL Server Database/3. Create a table.mp4 16.5 MB
~Get Your Files Here !/1. Azure Data Studio SQL Server Setup/2. Install Azure Data Studio.mp4 13.7 MB
~Get Your Files Here !/3. Connect Azure Data Studio to SQL Server Database/4. Insert data.mp4 13.2 MB
~Get Your Files Here !/4. Connect Azure Data Studio to Azure SQL Database/1. Connect azure data studio to Azure SQL Database.mp4 11.8 MB
~Get Your Files Here !/1. Azure Data Studio SQL Server Setup/3. What is SQL Server.mp4 11.7 MB
~Get Your Files Here !/3. Connect Azure Data Studio to SQL Server Database/1. Connect to SQL Server with Azure Data Studio.mp4 11.5 MB
~Get Your Files Here !/2. Azure SQL Database Setup/3. Accessing Azure Services.mp4 10.4 MB
~Get Your Files Here !/3. Connect Azure Data Studio to SQL Server Database/5. Query table.mp4 6.8 MB
~Get Your Files Here !/3. Connect Azure Data Studio to SQL Server Database/2. Create a new database.mp4 6.2 MB
~Get Your Files Here !/1. Azure Data Studio SQL Server Setup/1. Introduction.mp4 1.6 MB
~Get Your Files Here !/1. Azure Data Studio SQL Server Setup/5. Install SQL Server.srt 12.1 kB

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【影视】 [Tutorialsplanet.NET] Udemy - R Programming Hands-on Specialization for Data Science (Lv1)

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9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.mp4 35.4 MB
9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.mp4 35.3 MB
7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.mp4 31.0 MB
7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.mp4 29.7 MB
2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.mp4 28.9 MB
7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.mp4 27.0 MB
9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.mp4 26.9 MB
7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.mp4 26.4 MB
9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.mp4 26.2 MB
5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).mp4 25.3 MB
9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.mp4 25.2 MB
9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.mp4 24.9 MB
4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.mp4 24.6 MB
1. Introduction/2. Why you should learn R.mp4 24.0 MB
9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.mp4 23.2 MB
8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.mp4 23.1 MB
9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.mp4 22.4 MB
9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.mp4 21.9 MB
7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.mp4 21.4 MB
4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.mp4 20.7 MB

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【压缩文件】 MakeMusic Finale 2014 with Samples Data (keygen R2R) [ChingLiu]

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MakeMusic Finale 2014 with Samples Data (keygen R2R) [ChingLiu]/MMFINALE2014.iso 1.7 GB
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【影视】 [GigaCourse.Com] Udemy - Advanced Algorithms and Data Structures in Python

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14 - Hamiltonian Cycles - Travelling Salesman Problem/003 Travelling salesman problem implementation.mp4 107.5 MB
10 - Substring Search Algorithms/010 Z algorithm implementation.mp4 73.3 MB
10 - Substring Search Algorithms/008 Z algorithm introduction.mp4 71.4 MB
06 - Trie Data Structures (Prefix Trees)/008 Tries data structure implementation III.mp4 71.2 MB
10 - Substring Search Algorithms/004 Rabin-Karp algorithm implementation.mp4 70.3 MB
10 - Substring Search Algorithms/003 Rabin-Karp algorithm introduction.mp4 68.8 MB
09 - Interview Questions - Boggle Game/003 Boggle game with ternary search tree implementation II.mp4 68.7 MB
11 - Topological Ordering/001 What is topological ordering.mp4 60.2 MB
13 - Strongly Connected Components (Tarjan's Algorithm)/003 Tarjan algorithm implementation.mp4 59.3 MB
04 - Splay Tree Data Structure/001 What are splay trees.mp4 58.0 MB
04 - Splay Tree Data Structure/005 Splay trees implementation III.mp4 57.1 MB
06 - Trie Data Structures (Prefix Trees)/006 Tries data structure implementation I.mp4 53.2 MB
14 - Hamiltonian Cycles - Travelling Salesman Problem/004 TSP and stack memory visualization.mp4 50.1 MB
13 - Strongly Connected Components (Tarjan's Algorithm)/004 Applications of strongly connected components.mp4 48.5 MB
02 - Fenwick Trees (Binary Indexed Trees)/001 What are Fenwick trees.mp4 47.8 MB
07 - Interview Questions - IP Routing with Tries/002 Longest common prefix implementation.mp4 46.8 MB
03 - LRU Caches/004 LRU cache implementation II.mp4 46.8 MB
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【影视】 Data Center 300-610

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Section 11 - Describing Management and Orchestration/Cisco UCS Manager/Cisco UCS Manager - Designing Cisco Data Center Infrastructure_2.mp4 176.8 MB
Section 8 - Describing Cisco FEX Options/Single Root IO Virtualization/Single Root I_O Virtualization - Designing Cisco Data Center Infrastructure.mp4 144.3 MB
Section 22 - Describing Cisco UCS RBAC/Organizations in Cisco UCS Manager/Organizations in Cisco UCS Manager - Designing Cisco Data Center Infrastructure.mp4 137.3 MB
Section 1 - Describing High Availability on Layer 2/Cisco FabricPath/Cisco FabricPath - Designing Cisco Data Center Infrastructure_2.mp4 131.0 MB
Section 15 - Describing FCoE/FCoE Communication/FCoE Communication - Designing Cisco Data Center Infrastructure.mp4 127.6 MB
Section 3 - Designing Data Center Topologies/Access Layer/Access Layer - Designing Cisco Data Center Infrastructure.mp4 109.5 MB
Section 8 - Describing Cisco FEX Options/Cisco FEX Topologies/Cisco FEX Topologies - Designing Cisco Data Center Infrastructure.mp4 107.0 MB
Section 1 - Describing High Availability on Layer 2/Overview of Layer 2 High-Availability Mechanisms/Overview of Layer 2 High-Availability Mechanisms - Designing Cisco Data Center Infrastructure.mp4 104.5 MB
Section 13 - Describing Fibre Channel Concepts/Fibre Channel Communication/Fibre Channel Communication - Designing Cisco Data Center Infrastructure.mp4 101.0 MB
Section 21 - Describing Cisco UCS Manager Systemwide Parameters/Cisco UCS Traffic Management/Cisco UCS Traffic Management - Designing Cisco Data Center Infrastructure.mp4 100.3 MB
Section 14 - Describing Fibre Channel Topologies/SAN Parameterization/SAN Parameterization - Designing Cisco Data Center Infrastructure.mp4 100.2 MB
Section 13 - Describing Fibre Channel Concepts/Fibre Channel Communication/Fibre Channel Communication - Designing Cisco Data Center Infrastructure_2.mp4 97.3 MB
Section 1 - Describing High Availability on Layer 2/Virtual Port Channels/Virtual Port Channels - Designing Cisco Data Center Infrastructure.mp4 95.2 MB
Section 13 - Describing Fibre Channel Concepts/Virtualization in Fibre Channel SAN/Virtualization in Fibre Channel SAN - Designing Cisco Data Center Infrastructure.mp4 92.1 MB
Section 15 - Describing FCoE/FCoE Design Options/FCoE Design Options - Designing Cisco Data Center Infrastructure.mp4 90.1 MB
Section 15 - Describing FCoE/FCoE Protocol Characteristics/FCoE Protocol Characteristics - Designing Cisco Data Center Infrastructure.mp4 88.6 MB
Section 1 - Describing High Availability on Layer 2/Cisco FabricPath/Cisco FabricPath - Designing Cisco Data Center Infrastructure.mp4 88.1 MB
Section 25 - Describing Network-Specific Adapters and Policies/Virtual Access Layer/Virtual Access Layer - Designing Cisco Data Center Infrastructure.mp4 86.7 MB
Section 8 - Describing Cisco FEX Options/Cisco Adapter FEX/Cisco Adapter FEX - Designing Cisco Data Center Infrastructure.mp4 85.5 MB
Section 7 - Describing Hardware and Device Virtualization/SAN Virtualization/SAN Virtualization - Designing Cisco Data Center Infrastructure.mp4 84.0 MB

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