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【影视】 [ DevCourseWeb.com ] Learning Salt - Udemy

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~Get Your Files Here !/04 - Expanding States with Jinja and Pillar/005 Configuring States Using Pillar.mp4 47.0 MB
~Get Your Files Here !/05 - Complex State Trees/002 Defining, Enforcing, and Debugging Execution Orders.mp4 40.2 MB
~Get Your Files Here !/07 - The Salt REST API/003 More rest_cherrypy Features.mp4 40.2 MB
~Get Your Files Here !/03 - The State of an Infrastructure/002 Our First State.mp4 38.6 MB
~Get Your Files Here !/02 - Execution Modules/003 Common Execution Modules.mp4 38.5 MB
~Get Your Files Here !/05 - Complex State Trees/003 Conditional and Branching Logic During a State Run.mp4 38.4 MB
~Get Your Files Here !/02 - Execution Modules/002 Execution Module Basics.mp4 37.9 MB
~Get Your Files Here !/06 - Events and the Reactor/003 Listening to Events and Trigger Actions with Salt's Reactor.mp4 36.3 MB
~Get Your Files Here !/04 - Expanding States with Jinja and Pillar/003 How to Write Maintainable States.mp4 35.4 MB
~Get Your Files Here !/07 - The Salt REST API/001 Installing and Configuring Salt-API.mp4 32.1 MB
~Get Your Files Here !/07 - The Salt REST API/002 Exploring rest_cherrypy.mp4 31.1 MB
~Get Your Files Here !/02 - Execution Modules/004 Call from Master or Minions.mp4 28.0 MB
~Get Your Files Here !/07 - The Salt REST API/004 Using Salt-API to Integrate with External Systems.mp4 27.6 MB
~Get Your Files Here !/03 - The State of an Infrastructure/003 Dissect State Functions.mp4 26.8 MB
~Get Your Files Here !/04 - Expanding States with Jinja and Pillar/002 How to Write Reusable States.mp4 26.8 MB
~Get Your Files Here !/05 - Complex State Trees/006 Using Salt Orchestrate to Manage Complex State Runs.mp4 23.8 MB
~Get Your Files Here !/04 - Expanding States with Jinja and Pillar/006 Learning Salt Formulas.mp4 23.7 MB
~Get Your Files Here !/06 - Events and the Reactor/005 Sending Events Using Beacon Modules.mp4 22.4 MB
~Get Your Files Here !/01 - Installation and Setup/005 Configuring Salt.mp4 22.2 MB
~Get Your Files Here !/02 - Execution Modules/001 Targeting Minions.mp4 21.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Wrangling in Pandas for Machine Learning Engineers.zip

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[ FreeCourseWeb.com ] Udemy - Data Wrangling in Pandas for Machine Learning Engineers.zip 132.6 MB

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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Creating Machine Learning Models.zip

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[ FreeCourseWeb.com ] PluralSight - Creating Machine Learning Models.zip 275.9 MB

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【影视】 LinkedIn Learning - Code Clinic R [CoursesGhar]

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[4] 3. Problem Three Eight Queens/[5] Filtering for diagonal conflicts.mp4 21.9 MB
[2] 1. Problem One Weather Statistics/[3] Importing data from GitHub.mp4 20.6 MB
[3] 2. Problem Two Where Am I/[3] Retrieving my latitude and longitude.mp4 16.1 MB
[4] 3. Problem Three Eight Queens/[6] Efficiently storing the results.mp4 14.0 MB
[7] 6. Problem Six Real-Time Information Dashboard/[5] Using the Shiny client to render data.mp4 11.3 MB
[2] 1. Problem One Weather Statistics/[4] Calculating the coefficient of barometric pressure.mp4 11.1 MB
[7] 6. Problem Six Real-Time Information Dashboard/[1] Introduction Real-time information dashboard.mp4 10.6 MB
[5] 4. Problem Four Musical Instrument/[3] Use TclTk and sonify( ) for a theremin.mp4 10.3 MB
[7] 6. Problem Six Real-Time Information Dashboard/[4] Using an R package for data and functions.mp4 9.7 MB
[4] 3. Problem Three Eight Queens/[4] Setting up to exclude rows.mp4 8.8 MB
[1] Introduction/[1] Welcome.mp4 8.1 MB
[6] 5. Problem Five Facial Recognition/[3] Sending an image to Microsoft Cognitive Services Face API.mp4 8.1 MB
[3] 2. Problem Two Where Am I/[1] Introduction Where am I.mp4 8.0 MB
[2] 1. Problem One Weather Statistics/[2] Overview of linear models solution.mp4 7.8 MB
[2] 1. Problem One Weather Statistics/[1] Introduction The weather at Lake Pend Oreille.mp4 7.8 MB
[5] 4. Problem Four Musical Instrument/[1] Introduction Accessing peripherals.mp4 7.3 MB
[7] 6. Problem Six Real-Time Information Dashboard/[3] Using Shiny Server to serve data values.mp4 7.3 MB
[3] 2. Problem Two Where Am I/[4] Mapping my location.mp4 7.0 MB
[4] 3. Problem Three Eight Queens/[1] Introduction Eight queens.mp4 6.9 MB
[4] 3. Problem Three Eight Queens/[3] Modeling the problem to exclude columns.mp4 6.5 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Science- Machine Learning and Statistical Modeling in R.zip

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[ FreeCourseWeb.com ] Udemy - Data Science- Machine Learning and Statistical Modeling in R.zip 1.2 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning Basics - Practical Linear Regression in R.zip

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[ FreeCourseWeb.com ] Udemy - Machine Learning Basics - Practical Linear Regression in R.zip 768.1 MB

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【影视】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

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7. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
7. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
7. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
6. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp4 28.9 MB
7. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Bayesian AB Testing/7. Bayesian AB Testing in Code.mp4 20.4 MB
3. Bayes Rule and Probability Review/7. Confidence Intervals.mp4 16.1 MB
5. Bayesian AB Testing/3. The Epsilon-Greedy Solution.mp4 16.0 MB
7. Appendix FAQ/5. How to Code by Yourself (part 2).mp4 15.5 MB
3. Bayes Rule and Probability Review/1. Bayes Rule Review.mp4 15.4 MB
7. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 13.2 MB

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【影视】 Data Science & Machine Learning - Hands on Data Science 2020

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Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/117 Data Science in Cloud - 2 (Microsoft Azure).mp4 199.6 MB
Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/107 Create Python virtual environment -2.mp4 153.2 MB
Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/040 Insight -1.mp4 123.4 MB
Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/062 How to use developer tools in browser.mp4 119.1 MB
Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/091 Python Implementation - Step 1.mp4 104.3 MB
Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/095 Python Implementation - Step 1.mp4 102.5 MB
Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/100 Installation Part - 1 and 2.mp4 98.5 MB
Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/041 Insight - 2.mp4 96.1 MB
Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/101 Installation Part - 3 and 4.mp4 92.3 MB
Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/002 Download and Install Anaconda - Ubuntu Linux.mp4 89.9 MB
Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/111 Python Variables and Datatypes.mp4 77.4 MB
Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/033 Plotly scatter and line chart.mp4 76.2 MB
Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/151 Measure Statistical Parameter with Microsoft Excel.mp4 76.1 MB
Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/092 Python Implementation - Step 2.mp4 75.3 MB
Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/037 Plotly - Histogram and Distribution plot.mp4 74.9 MB
Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/096 Python Implementation - Step 2.mp4 64.0 MB
Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/133 Union Intersection of complement of event.mp4 63.6 MB
Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/115 Python Looping in Python.mp4 59.7 MB
Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/116 Data Science in Cloud -1.mp4 56.8 MB
Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/086 KNN algorithm - Intitution.mp4 55.1 MB

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【影视】 [ CourseWikia.com ] AlgoExpert - Machine Learning Crash Course

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~Get Your Files Here !/4 Deep Learning/13-CNN.mp4.mp4 162.0 MB
~Get Your Files Here !/4 Deep Learning/12-Neural Networks.mp4.mp4 154.5 MB
~Get Your Files Here !/2 Supervised Learning/8-Logistic Regression.mp4.mp4 117.4 MB
~Get Your Files Here !/2 Supervised Learning/4-Naive Bayes Optimized.mp4.mp4 117.3 MB
~Get Your Files Here !/4 Deep Learning/14-RNN.mp4.mp4 113.8 MB
~Get Your Files Here !/2 Supervised Learning/3-Performance.mp4.mp4 99.4 MB
~Get Your Files Here !/6 Ranking/17-Learning To Rank.mp4.mp4 90.0 MB
~Get Your Files Here !/2 Supervised Learning/9-SVM.mp4.mp4 89.7 MB
~Get Your Files Here !/2 Supervised Learning/6-Decision Trees.mp4.mp4 89.0 MB
~Get Your Files Here !/2 Supervised Learning/2-Naive Bayes.mp4.mp4 84.3 MB
~Get Your Files Here !/5 Recommender Systems/16-CollaborativeContent Filtering.mp4.mp4 81.8 MB
~Get Your Files Here !/2 Supervised Learning/7- Linear Regression.mp4.mp4 71.9 MB
~Get Your Files Here !/3 Unsupervised Learning/11-Singular Value Decomposition.mp4.mp4 67.1 MB
~Get Your Files Here !/2 Supervised Learning/5-KNN.mp4.mp4 64.1 MB
~Get Your Files Here !/3 Unsupervised Learning/10-K-means.mp4.mp4 63.2 MB
~Get Your Files Here !/4 Deep Learning/15-GAN.mp4.mp4 60.8 MB
~Get Your Files Here !/1 Introduction/0-Introduction.mp4.mp4 25.0 MB
~Get Your Files Here !/1 Introduction/1-Prerequisites.mp4.mp4 22.0 MB
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【影视】 [FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

收录时间:2022-03-15 文档个数:69 文档大小:1.5 GB 最近下载:2025-05-16 人气:1208 磁力链接

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】 [ TutPig.com ] Skillshare - Engaging Online Learning - Virtual Classroom Master Class

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~Get Your Files Here !/15. Practice Session in Zoom.mp4 140.7 MB
~Get Your Files Here !/14. Practice Session in MS Teams.mp4 120.8 MB
~Get Your Files Here !/13. Practice Session in Google Meet.mp4 109.9 MB
~Get Your Files Here !/12. Technical Set up.mp4 86.2 MB
~Get Your Files Here !/11. Session Planning Part 2.mp4 74.4 MB
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~Get Your Files Here !/03. Interactive Tools in the Virtual Classroom.mp4 64.4 MB
~Get Your Files Here !/02. Session Planning Part 1.mp4 55.5 MB
~Get Your Files Here !/09. Interactive Tool #1.mp4 31.0 MB
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【影视】 [Udemy] Linux Shell Scripting_ A Project-Based Approach to Learning (2021) [En]

收录时间:2022-03-15 文档个数:99 文档大小:7.0 GB 最近下载:2025-05-16 人气:2549 磁力链接

04 Password Generation and Shell Script Arguments - Shell Scripting Project 2/002 Positional Parameters, Arguments, for Loops, Special Parameters.mp4 458.3 MB
04 Password Generation and Shell Script Arguments - Shell Scripting Project 2/001 Random Data, Cryptographic Hash Functions, Text and String Manipulation.mp4 421.8 MB
08 Network Scripting & Automation of Distributed Systems_ Shell Scripting Project 6/001 Configuring a Mini Network and Scripting for Remote Systems.mp4 382.8 MB
06 Parsing Command Line Options – Shell Scripting Project 4/010 Deleting Users 8O Exercise 5 8O Walkthrough.mp4 365.3 MB
03 User and Account Creation - Shell Scripting Project 1/002 Getting Started with Shell Scripting_ Naming, Permissions, Variables, Builtins.mp4 311.3 MB
03 User and Account Creation - Shell Scripting Project 1/005 Reading Standard Input, Creating Accounts, Username Conventions, More Quoting.mp4 308.0 MB
02 Creating a Local Linux Shell Scripting Environment/006 Exercise 1 8O Walkthrough 8O Part II 8O All Users.mp4 303.9 MB
06 Parsing Command Line Options – Shell Scripting Project 4/002 Functions.mp4 289.1 MB
08 Network Scripting & Automation of Distributed Systems_ Shell Scripting Project 6/003 Scripting Remote Commands 8O Walkthrough 8O Part 1.mp4 282.7 MB
05 Linux Programming Conventions - Shell Scripting Project 3/002 Advanced Standard Input, Standard Output, and Standard Error - Part II.mp4 278.6 MB
03 User and Account Creation - Shell Scripting Project 1/003 Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals.mp4 268.5 MB
04 Password Generation and Shell Script Arguments - Shell Scripting Project 2/005 Exercise 3 - Walkthrough.mp4 245.5 MB
07 Transforming Data _ Data Processing _ Reporting – Shell Scripting Project 5/006 Sed.mp4 229.2 MB
03 User and Account Creation - Shell Scripting Project 1/007 Exercise 2 - Walkthrough.mp4 225.7 MB
06 Parsing Command Line Options – Shell Scripting Project 4/007 Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar).mp4 207.3 MB
08 Network Scripting & Automation of Distributed Systems_ Shell Scripting Project 6/004 Scripting Remote Commands 8O Walkthrough 8O Part 2.mp4 205.9 MB
06 Parsing Command Line Options – Shell Scripting Project 4/003 Parsing Command Line Options with getopts, Part 1.mp4 195.0 MB
06 Parsing Command Line Options – Shell Scripting Project 4/001 Case Statements.mp4 194.0 MB
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06 Parsing Command Line Options – Shell Scripting Project 4/004 Parsing Command Line Options with getopts, Part 2.mp4 175.9 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Learning Open Source GIS - Spatial SQL w - Postgres - PosGIS

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~Get Your Files Here !/02 - Section 2 Overview of SQL/001 The case for SQL.mp4 194.9 MB
~Get Your Files Here !/03 - Section 3 SQL Data Types/002 Boolean and Character data types.mp4 183.5 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/002 Aggregate and GROUP BY functions.mp4 178.5 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/001 SELECT Statements (and their variants).mp4 171.0 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/004 Spatial Commands - part 2 (D-U).mp4 168.9 MB
~Get Your Files Here !/03 - Section 3 SQL Data Types/001 Numeric data types.mp4 163.5 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/003 Spatial Commands - part 1 (A-C).mp4 162.7 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/004 Conditional statements with SQL CASE.mp4 126.6 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/003 Creating new data (UPDATE, INSERT, and DELETE functions).mp4 121.7 MB
~Get Your Files Here !/06 - Section 6 Geographic Models with Spatial SQL/001 Basic Problems in Geography.mp4 120.4 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/001 Coordinate Systems and SQL.mp4 115.4 MB
~Get Your Files Here !/01 - Section 1 Loading our Software and Data/005 Loading our data.mp4 109.8 MB
~Get Your Files Here !/06 - Section 6 Geographic Models with Spatial SQL/003 The tools of spatial analysis Distance, adjacency, and Interaction.mp4 98.7 MB
~Get Your Files Here !/03 - Section 3 SQL Data Types/004 Spatial data types.mp4 95.8 MB
~Get Your Files Here !/07 - Real World Applications with Spatial SQL/001 Creating functions with Postgres and PostGIS.mp4 95.4 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/002 Spatial (and non-spatial) indexes and SQL.mp4 79.7 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】 A deep understanding of deep learning (with Python intro)

收录时间:2022-03-14 文档个数:759 文档大小:22.9 GB 最近下载:2025-05-16 人气:7678 磁力链接

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/009 Learning rates comparison.mp4 176.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/003 FFN to classify digits.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/007 Data feature augmentation.mp4 166.0 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB

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

收录时间:2022-03-14 文档个数:97 文档大小:3.3 GB 最近下载:2025-05-16 人气:3417 磁力链接

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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