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【影视】 [TutorialPace.com] Lynda - Learning C Sharp - [TP]

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4. Advanced Concepts of C Sharp/00037 - Working with enumerators.mp4 31.0 MB
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4. Advanced Concepts of C Sharp/00043 - Working with interfaces.mp4 25.8 MB
1. C Sharp Basics/00019 - Functions that take in values.mp4 24.8 MB
5. C Sharp - Top New Features/00048 - Working with lambda expressions.mp4 23.7 MB
1. C Sharp Basics/00017 - Introductory functions.mp4 23.1 MB
1. C Sharp Basics/00020 - Switch statement.mp4 18.0 MB
1. C Sharp Basics/00023 - Collections.mp4 17.3 MB
2. Object-Oriented Programming in C Sharp/00028 - Working with namespaces.mp4 17.0 MB
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3. Errors and Debugging/00034 - Catching exceptions with try-catch.mp4 16.3 MB
1. C Sharp Basics/00015 - Arrays.mp4 16.0 MB
4. Advanced Concepts of C Sharp/00045 - Understanding abstract classes.mp4 15.8 MB
1. C Sharp Basics/00008 - Work with conditions.mp4 15.6 MB
2. Object-Oriented Programming in C Sharp/00029 - Working with constructors.mp4 14.8 MB
4. Advanced Concepts of C Sharp/00044 - Working with events.mp4 13.9 MB
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2. Object-Oriented Programming in C Sharp/00030 - Working with inheritance.mp4 12.3 MB
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【其他】 Learning to Think Strategically, 4e - Julia Sloan

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning French & English listen as RADIO rather watch easy.zip

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【音乐】 Brian Tracy - Accelerated Learning Techniques

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09 - Power Reading and Power Writing.mp3 34.9 MB
01 - The Learning Revolution.mp3 34.7 MB
06 - Exploring the Subject.mp3 34.7 MB
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07 - Memorizing the Material.mp3 34.1 MB
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04 - Preparing Your Mind to Learn.mp3 33.1 MB
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05 - Getting the Facts.mp3 30.7 MB
10 - Power Communicating.mp3 29.2 MB
13 - Bonus A - Relaxation.mp3 29.1 MB
03 - The Six Stages of Accelerated Learning.mp3 28.1 MB
14 - Bonus B - Baroque Music.mp3 26.3 MB
Accelerated Learning Techniques Workbook.pdf 18.7 MB
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【影视】 Learning GitLab

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[TutsNode.com] - Learning GitLab/04 - 3. GitLab for Collaboration/03 - Bringing things together.mp4 21.3 MB
[TutsNode.com] - Learning GitLab/03 - 2. Work with Version Control/05 - Reviewing a merge request.mp4 16.4 MB
[TutsNode.com] - Learning GitLab/02 - 1. First Steps with GitLab/05 - Using the GitLab basic editor.mp4 13.9 MB
[TutsNode.com] - Learning GitLab/03 - 2. Work with Version Control/06 - Git history.mp4 12.5 MB
[TutsNode.com] - Learning GitLab/03 - 2. Work with Version Control/04 - Creating a merge request.mp4 10.7 MB
[TutsNode.com] - Learning GitLab/04 - 3. GitLab for Collaboration/01 - To-dos.mp4 10.4 MB
[TutsNode.com] - Learning GitLab/03 - 2. Work with Version Control/01 - Creating a branch.mp4 10.0 MB
[TutsNode.com] - Learning GitLab/03 - 2. Work with Version Control/02 - Introduction to the web IDE.mp4 9.1 MB
[TutsNode.com] - Learning GitLab/02 - 1. First Steps with GitLab/04 - Your first GitLab project.mp4 9.0 MB
[TutsNode.com] - Learning GitLab/04 - 3. GitLab for Collaboration/02 - Issues.mp4 8.6 MB
[TutsNode.com] - Learning GitLab/02 - 1. First Steps with GitLab/03 - Markdown basics.mp4 6.3 MB
[TutsNode.com] - Learning GitLab/03 - 2. Work with Version Control/03 - Staging and committing in the web IDE.mp4 6.1 MB
[TutsNode.com] - Learning GitLab/02 - 1. First Steps with GitLab/02 - Setting up an account.mp4 5.5 MB
[TutsNode.com] - Learning GitLab/02 - 1. First Steps with GitLab/01 - Version control.mp4 4.9 MB
[TutsNode.com] - Learning GitLab/01 - Introduction/01 - GitLab version control and more.mp4 4.5 MB
[TutsNode.com] - Learning GitLab/05 - Conclusion/01 - Next steps.mp4 2.4 MB
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【影视】 [FreeCoursesOnline.Me] PacktPub - Probability Statistics - The Foundations Of Machine Learning [Video]

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00023 Case_Study_-_Sleep_Analysis_Structure_and_Code.mp4 1.1 GB
00007 Central_Tendency_Mean_Median_and_Mode.mp4 900.2 MB
00015 Spam_Detection_-_Implementation_Issues.mp4 758.8 MB
00028 Applying_Entropy_-_Coding_Decision_Trees_for_Machine_Learning.mp4 574.1 MB
00004 Foundations_Data_Types_and_Representing_Data.mp4 389.1 MB
00002 Code_Environment_Setup_and_Python_Crash_Course.mp4 336.5 MB
00030 Bayesian_Inference_Code_Through_PyMC3.mp4 330.1 MB
00011 Simulating_Coin_Flips_for_Probability.mp4 315.4 MB
00012 Conditional_Probability_the_Most_Important_Concept_in_Stats.mp4 304.8 MB
00019 Distributions_-_Rationale_and_Importance.mp4 264.3 MB
00027 Entropy_-_The_Most_Important_Application_of_Expected_Values.mp4 253.8 MB
00006 Exploring_Data_Types_in_Code.mp4 242.3 MB
00003 Getting_Started_with_Code_-_Feel_of_Data.mp4 224.3 MB
00024 Visualizing_Joint_Distributions_-_The_Road_to_ML_Success.mp4 216.3 MB
00009 Dispersion_Exploration_Through_Code.mp4 206.2 MB
00016 Rules_for_Counting_Mostly_Optional.mp4 205.5 MB
00021 Continuous_Distributions_with_the_Help_of_an_Example.mp4 202.6 MB
00025 Dependence_and_Variance_of_Two_Random_Variables.mp4 199.7 MB
00018 Two_Random_Variables_-_Joint_Probabilities.mp4 198.1 MB
00014 Application_of_Bayes_Rule_in_the_Real_World_-_Spam_Detection.mp4 145.1 MB

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【音乐】 Die Toten Hosen - Learning English Lesson 3 MERSEY BEAT! The Sound of Liverpool (2020)

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12. I Can Tell.mp3 7.5 MB
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【影视】 Learning SolidWorks 2015

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0414 Testing Your Skills - Basic Features - Part 2.MP4 27.0 MB
0413 Testing Your Skills - Basic Features - Part 1.MP4 24.3 MB
0213 Testing Your Sketching Skills.MP4 23.9 MB
1007 Notes.MP4 23.0 MB
0810 Testing Your Skills - Assemblies - Part 1.MP4 22.7 MB
0907 Section View.MP4 21.7 MB
1002 Driving Dimensions.MP4 20.7 MB
0415 Testing Your Skills - Basic Features - Part 3.MP4 19.9 MB
0811 Testing Your Skills - Assemblies - Part 2.MP4 18.3 MB
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0903 Model View.MP4 17.5 MB
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0405 Fillets.MP4 15.7 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Mathematica Programming And Machine Learning

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~Get Your Files Here !/1 - Introduction/1 - Introduction to Mathematica and Basics of Programming.mp4 205.8 MB
~Get Your Files Here !/5 - Data Analysis and ANOVA in Mathematica/5 - Data Analysis and ANOVA in Mathematica.mp4 177.9 MB
~Get Your Files Here !/4 - Computer Vision and Machine Learning in Mathematica/4 - Computer Vision and Machine Learning.mp4 156.5 MB
~Get Your Files Here !/2 - Plotting in Mathematica/2 - Lecture 2 Plotting In Mathematica.mp4 138.8 MB
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【影视】 [GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

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【压缩文件】 Complete Data Science & Machine Learning Bootcamp - Python 3

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【影视】 [DesireCourse.Net] Udemy - Machine Learning Basics Classification models in Python

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2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.8 MB
5. Data Preprocessing/7. EDD in Python.mp4 101.8 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 91.9 MB
6. Classification Models/21. K-Nearest Neighbors classifier.mp4 87.6 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.2 MB
4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
6. Classification Models/11. Making Confusion Matrix in Python.mp4 67.9 MB
6. Classification Models/4. Training a Simple Logistic Model in Python.mp4 64.2 MB
5. Data Preprocessing/10. Outlier treatment in Python.mp4 61.3 MB
4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 59.1 MB
4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.7 MB
6. Classification Models/23. K-Nearest Neighbors in Python Part 2.mp4 54.5 MB
4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 53.8 MB
4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 51.2 MB
6. Classification Models/15. Linear Discriminant Analysis.mp4 51.0 MB
6. Classification Models/25. Understanding the results of classification models.mp4 48.2 MB
6. Classification Models/22. K-Nearest Neighbors in Python Part 1.mp4 48.1 MB
6. Classification Models/18. Test-Train Split.mp4 47.9 MB

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【影视】 Deep Learning with Python, Second Edition, Video Edition

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[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/03-Chapter 1 Understanding how deep learning works, in three figures.mp4 107.9 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/49-Chapter 9 Advanced deep learning for computer vision.mp4 104.6 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/33-Chapter 6 Collect a dataset.mp4 89.2 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/96-Chapter 14 Lifelong learning and modular subroutine reuse.mp4 88.2 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/02-Chapter 1 Learning rules and representations from data.mp4 87.4 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/04-Chapter 1 Before deep learning - A brief history of machine learning.mp4 86.7 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/74-Chapter 12 How do you generate sequence data.mp4 85.9 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/86-Chapter 14 Conclusions.mp4 85.1 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/77-Chapter 12 Neural style transfer.mp4 84.9 MB
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[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/71-Chapter 11 Beyond text classification - Sequence-to-sequence learning.mp4 83.5 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/36-Chapter 6 Deploy the model.mp4 82.0 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/05-Chapter 1 Back to neural networks.mp4 81.7 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/01-Chapter 1 What is deep learning.mp4 80.5 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/79-Chapter 12 Implementing a VAE with Keras.mp4 79.6 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/82-Chapter 13 Hyperparameter optimization.mp4 78.7 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/44-Chapter 8 The convolution operation.mp4 78.0 MB
[TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/55-Chapter 9 Visualizing heatmaps of class activation.mp4 77.9 MB

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