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【文档书籍】 Hoffmann J. Linear Regression Models. Applications in R 2021

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Hoffmann J. Linear Regression Models. Applications in R 2021.pdf 109.6 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Data Fusion with Linear Kalman Filter

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~Get Your Files Here !/6. Linear Kalman Filter/15. 2D Tracker Filter Tuning.mp4 138.8 MB
~Get Your Files Here !/6. Linear Kalman Filter/3. How Does the Linear Kalman Filter Work.mp4 116.1 MB
~Get Your Files Here !/4. Dynamic Systems/1. Differential Equations.mp4 86.3 MB
~Get Your Files Here !/4. Dynamic Systems/7. Simulation of Models.mp4 68.6 MB
~Get Your Files Here !/6. Linear Kalman Filter/11. 2D Tracker Update Step Explaination.mp4 64.4 MB
~Get Your Files Here !/6. Linear Kalman Filter/8. 2D Tracker Prediction Step Explaination.mp4 63.9 MB
~Get Your Files Here !/7. Pendulum Example/4. Kalman Filter Performance and Tuning.mp4 59.0 MB
~Get Your Files Here !/6. Linear Kalman Filter/4. 2D Tracker Example Problem Overview.mp4 55.7 MB
~Get Your Files Here !/3. Probability/12. Multiple Random Variables.mp4 49.8 MB
~Get Your Files Here !/5. Least Squares Estimation/3. Recursive Least Squares.mp4 47.2 MB
~Get Your Files Here !/6. Linear Kalman Filter/14. Kalman Filter Tuning.mp4 46.5 MB
~Get Your Files Here !/6. Linear Kalman Filter/7. 2D Tracker Prediction Step.mp4 43.8 MB
~Get Your Files Here !/6. Linear Kalman Filter/9. Kalman Filter Update Step.mp4 43.3 MB
~Get Your Files Here !/6. Linear Kalman Filter/13. 2D Tracker Initial Condition Explaination.mp4 42.9 MB
~Get Your Files Here !/5. Least Squares Estimation/1. Estimation of a Constant.mp4 41.8 MB
~Get Your Files Here !/5. Least Squares Estimation/2. Weighted Least Squares.mp4 40.6 MB
~Get Your Files Here !/3. Probability/3. Conditional Probability.mp4 39.3 MB
~Get Your Files Here !/7. Pendulum Example/3. Kalman Filter Model Implementation.mp4 39.3 MB
~Get Your Files Here !/3. Probability/2. Mutual Exclusivity.mp4 38.2 MB
~Get Your Files Here !/2. Introduction/2. How does Sensor Fusion Work.mp4 33.1 MB

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【影视】 [FreeCourseSite.com] Udemy - Linear Regression and Logistic Regression in Python

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4. Data Preprocessing before building Linear Regression Model/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
5. Building the Linear Regression Model/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
6. Logistic Regression Data Preprocessing/1. The Dataset and the Data Dictionary.mp4 83.0 MB
6. Logistic Regression Data Preprocessing/3. EDD in Python.mp4 81.3 MB
4. Data Preprocessing before building Linear Regression Model/17. Correlation Analysis.mp4 75.1 MB
4. Data Preprocessing before building Linear Regression Model/8. Outlier Treatment in Python.mp4 73.7 MB
5. Building the Linear Regression Model/9. Multiple Linear Regression in Python.mp4 73.1 MB
4. Data Preprocessing before building Linear Regression Model/3. The Dataset and the Data Dictionary.mp4 72.7 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 68.5 MB
2. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp4 68.4 MB
2. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp4 67.6 MB
5. Building the Linear Regression Model/5. Simple Linear Regression in Python.mp4 66.5 MB
4. Data Preprocessing before building Linear Regression Model/6. EDD in Python.mp4 64.8 MB
2. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp4 63.3 MB
5. Building the Linear Regression Model/7. The F - statistic.mp4 58.8 MB
4. Data Preprocessing before building Linear Regression Model/18. Correlation Analysis in Python.mp4 58.0 MB
7. Building a Logistic Regression Model/8. Creating Confusion Matrix in Python.mp4 53.8 MB
7. Building a Logistic Regression Model/3. Training a Simple Logistic Model in Python.mp4 50.2 MB
6. Logistic Regression Data Preprocessing/4. Outlier Treatment in Python.mp4 49.6 MB
2. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp4 49.2 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - 2021 Linear Algebra for Machine Learning

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~Get Your Files Here !/9. Projections/3. Projections onto general subspaces.mp4 53.2 MB
~Get Your Files Here !/9. Projections/2. Projections onto one-dimensional subspaces.mp4 38.1 MB
~Get Your Files Here !/2. Vectors and the Manipulation of Vectors/2. Systems of Linear Equations.mp4 36.9 MB
~Get Your Files Here !/4. Systems of Linear Equations and Matrices/1. Solving Systems of Linear Equations.mp4 36.7 MB
~Get Your Files Here !/7. Linear Mappings/5. Image and Kernel.mp4 36.0 MB
~Get Your Files Here !/4. Systems of Linear Equations and Matrices/3. Gaussian Elimination Continued.mp4 34.0 MB
~Get Your Files Here !/3. Matrices/3. Properties of Matrices.mp4 32.4 MB
~Get Your Files Here !/7. Linear Mappings/4. Basis Change Theorem.mp4 31.1 MB
~Get Your Files Here !/7. Linear Mappings/6. Affine Spaces.mp4 30.1 MB
~Get Your Files Here !/3. Matrices/2. Matrix Addition and Multiplication.mp4 28.4 MB
~Get Your Files Here !/7. Linear Mappings/2. Matrix representation of Linear Mappings.mp4 27.1 MB
~Get Your Files Here !/8. Linear Algebra and Analytic Geometry/3. Positive Definite Matrix and Symmetry.mp4 26.6 MB
~Get Your Files Here !/8. Linear Algebra and Analytic Geometry/5. Angles and Orthogonality.mp4 24.4 MB
~Get Your Files Here !/5. Introduction to Vector Spaces/1. Vector Spaces.mp4 23.2 MB
~Get Your Files Here !/4. Systems of Linear Equations and Matrices/4. Solving for the Inverse.mp4 21.5 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 21.3 MB
~Get Your Files Here !/7. Linear Mappings/1. Introduction to Linear Mappings.mp4 21.1 MB
~Get Your Files Here !/6. Linear Independence/1. Introduction to Linear Independence.mp4 20.3 MB
~Get Your Files Here !/2. Vectors and the Manipulation of Vectors/1. Vectors.mp4 20.3 MB
~Get Your Files Here !/4. Systems of Linear Equations and Matrices/2. Gaussian Elimination.mp4 19.5 MB

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【影视】 Extreme.Africa.S01E06.The.Linear.Oasis.1080p.WEB.h264-CAFFEiNE[eztv.io].mkv

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Extreme.Africa.S01E06.The.Linear.Oasis.1080p.WEB.h264-CAFFEiNE[eztv.io].mkv 1.6 GB

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【压缩文件】 STEINS.GATE.Linear.Bounded.Phenogram.rar

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STEINS.GATE.Linear.Bounded.Phenogram.rar 4.1 GB

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【文档书籍】 Linear Algebra and Its Applications 6th Edition by Steven R. Lay PDF

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Linear Algebra and Its Applications 6th Edition by Steven R. Lay.pdf 193.5 MB
Chapter 10_ Finite-State Markov Chains + Appendixes (2020, Pearson).pdf 2.3 MB
more books, audiobooks, magazines etc..txt 932 Bytes

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Machine Learning - Linear Regression using TensorFlow Python.zip

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[ DevCourseWeb.com ] Udemy - Machine Learning - Linear Regression using TensorFlow Python.zip 2.9 GB

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【影视】 GD - Linear Pakua.mp4

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GD - Linear Pakua.mp4 616.1 MB

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【其他】 Janie Crouch - Baby [Linear Tactical Series, Book 8]

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Janie Crouch - Baby [Linear Tactical Series, Book 8].m4b 536.0 MB

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【其他】 Janie Crouch - Redwood [Linear Tactical Series, Book 10]

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Janie Crouch - Redwood [Linear Tactical Series, Book 10].m4b 536.2 MB

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【文档书籍】 Kolman B. Elementary Linear Algebra with App. 9ed Link to Sol.Man

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Kolman B., Hill D. Elementary Linear Algebra with Applications 9ed 2008.pdf 96.9 MB
Readme-!!! Solutions Manual.txt 608 Bytes

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【其他】 Janie Crouch - Shadow [Linear Tactical Series, Book 6]

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Janie Crouch - Shadow [Linear Tactical Series, Book 6].m4b 404.5 MB

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【其他】 Janie Crouch - Phoenix [Linear Tactical Series, Book 9]

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Janie Crouch - Phoenix [Linear Tactical Series, Book 9].m4b 387.2 MB

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【其他】 Janie Crouch - Ghost [Linear Tactical Series, Book 5]

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Janie Crouch - Ghost [Linear Tactical Series, Book 5].m4b 413.4 MB

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【其他】 Janie Crouch - Echo [Linear Tactical Series, Book 7]

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Janie Crouch - Echo [Linear Tactical Series, Book 7].m4b 440.7 MB

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【其他】 Janie Crouch - Angel [Linear Tactical Series, Book 4]

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Janie Crouch - Angel [Linear Tactical Series, Book 4].m4b 398.7 MB

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【影视】 [FreeCourseLab.me] Udemy - Machine Learning for Beginners Linear Regression model in R

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7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4 130.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/16. Test-Train Split in R.mp4 95.5 MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
7. Regression models other than OLS/3. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/11. Multiple Linear Regression in R.mp4 76.7 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.1 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 54.8 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 54.0 MB

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【影视】 [FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU]

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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 85.6 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
1. Welcome/1. Welcome.mp4 33.6 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/2. Introduction and Outline.mp4 29.8 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
6. Appendix/12. Python 2 vs Python 3.mp4 17.7 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB

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【影视】 Our Non-Linear Selves with Joe Dispenza

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Our Non-Linear Selves with Joe Dispenza.mp4 785.4 MB
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