种子简介

种子名称： [ DevCourseWeb.com ] Udemy - Numerical Methods and Optimization in Python
文件类型： 视频
文件数目： 148个文件
文件大小： 3.37 GB
收录时间： 2024-4-24 06:34
已经下载： 3次
资源热度： 205
最近下载： 2025-2-20 12:09

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:42f3e1283060de23236e319e113f7f6bcf88318d&dn=[ DevCourseWeb.com ] Udemy - Numerical Methods and Optimization in Python 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[ DevCourseWeb.com ] Udemy - Numerical Methods and Optimization in Python.torrent

~Get Your Files Here !/01 - Introduction/001 Introduction.mp413.6MB

~Get Your Files Here !/02 - ### NUMERICAL METHODS ###/001 Floating point numbers.mp424.48MB

~Get Your Files Here !/02 - ### NUMERICAL METHODS ###/002 Precision and accuracy.mp49.44MB

~Get Your Files Here !/02 - ### NUMERICAL METHODS ###/003 Rounding errors.mp414.12MB

~Get Your Files Here !/02 - ### NUMERICAL METHODS ###/004 Speed consideration - C, Java and Python.mp427.51MB

~Get Your Files Here !/03 - Linear Algebra/001 Matrix multiplication introduction.mp412.46MB

~Get Your Files Here !/03 - Linear Algebra/002 Matrix multiplication implementation.mp420.57MB

~Get Your Files Here !/03 - Linear Algebra/003 Running time analysis of matrix multiplication.mp427.04MB

~Get Your Files Here !/03 - Linear Algebra/004 Matrix vector multiplication.mp413.41MB

~Get Your Files Here !/03 - Linear Algebra/005 Inner product.mp416.56MB

~Get Your Files Here !/03 - Linear Algebra/006 Lists and NumPy arrays.mp419.4MB

~Get Your Files Here !/03 - Linear Algebra/007 Matrix operations with NumPy.mp413.69MB

~Get Your Files Here !/04 - Linear Systems and Gaussian Elimination/001 What is Gaussian elimination.mp416.82MB

~Get Your Files Here !/04 - Linear Systems and Gaussian Elimination/002 Gaussian elimination illustration.mp413.62MB

~Get Your Files Here !/04 - Linear Systems and Gaussian Elimination/003 What is pivoting.mp419.76MB

~Get Your Files Here !/04 - Linear Systems and Gaussian Elimination/004 Gaussian elimination and singular matrixes.mp48.69MB

~Get Your Files Here !/05 - Gauss Elimination Implementation/001 Gaussian elimination implementation I.mp435.67MB

~Get Your Files Here !/05 - Gauss Elimination Implementation/002 Gaussian elimination implementation II.mp429.57MB

~Get Your Files Here !/06 - #1 Challenge - Portfolio Optimization/001 Portfolio optimization introduction.mp413.13MB

~Get Your Files Here !/06 - #1 Challenge - Portfolio Optimization/002 Portfolio optimization implementation.mp413.84MB

~Get Your Files Here !/07 - Eigenvalues And Eigenvectors/001 What are eigenvalues and eigenvectors.mp414.38MB

~Get Your Files Here !/07 - Eigenvalues And Eigenvectors/002 Eigenvalues and eigenvectors implementation.mp410.84MB

~Get Your Files Here !/07 - Eigenvalues And Eigenvectors/003 Applications of eigenvectors in machine learning.mp410.65MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/001 Graph representation of the WWW.mp425.06MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/002 Crawling the web with breadth-first search.mp425.88MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/003 The original formula.mp417.78MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/004 PageRank algorithm example.mp424.94MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/005 Matrix representation of the problem.mp429.07MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/006 The random surfer model.mp418.81MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/007 What are the problems with the random surfer model.mp412.26MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/008 PageRank algorithm - the final formula.mp437.74MB

~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/009 Power method.mp421.32MB

~Get Your Files Here !/09 - Interpolation/001 What is interpolation.mp438.72MB

~Get Your Files Here !/09 - Interpolation/002 Interpolation illustration.mp415.11MB

~Get Your Files Here !/09 - Interpolation/003 Interpolation implementation I.mp426.13MB

~Get Your Files Here !/09 - Interpolation/004 Interpolation implementation II.mp430.85MB

~Get Your Files Here !/09 - Interpolation/005 Applications of interpolation.mp48.61MB

~Get Your Files Here !/10 - Root Finding/001 Root of functions introduction.mp412.28MB

~Get Your Files Here !/10 - Root Finding/002 Bisection method introduction.mp410.17MB

~Get Your Files Here !/10 - Root Finding/003 Bisection method implementation.mp424.12MB

~Get Your Files Here !/10 - Root Finding/004 Newton method introduction.mp416.4MB

~Get Your Files Here !/10 - Root Finding/005 Newton method implementation.mp415.79MB

~Get Your Files Here !/11 - Numerical Integration/001 Integration introduction.mp410.91MB

~Get Your Files Here !/11 - Numerical Integration/002 Rectangle method introduction.mp418.05MB

~Get Your Files Here !/11 - Numerical Integration/003 Rectangle method implementation.mp422.38MB

~Get Your Files Here !/11 - Numerical Integration/004 Trapezoidal integral introduction.mp419.06MB

~Get Your Files Here !/11 - Numerical Integration/005 Trapezoidal integral implementation.mp417.61MB

~Get Your Files Here !/11 - Numerical Integration/006 Simpson's method introduction.mp411.99MB

~Get Your Files Here !/11 - Numerical Integration/007 Simpson's method implementation.mp420.56MB

~Get Your Files Here !/12 - #3 Challenge - Monte-Carlo Integration/001 What is the Monte-Carlo method.mp430.11MB

~Get Your Files Here !/12 - #3 Challenge - Monte-Carlo Integration/002 Monte-Carlo integral implementation I.mp439.77MB

~Get Your Files Here !/12 - #3 Challenge - Monte-Carlo Integration/003 Monte-Carlo integral implementation II.mp424.52MB

~Get Your Files Here !/12 - #3 Challenge - Monte-Carlo Integration/004 Applications of Monte-Carlo simulations in finance.mp414.29MB

~Get Your Files Here !/13 - Differential Equations/001 How to deal with differential equations.mp424.5MB

~Get Your Files Here !/13 - Differential Equations/002 Euler's method introduction.mp412.94MB

~Get Your Files Here !/13 - Differential Equations/003 Euler's method example.mp419.65MB

~Get Your Files Here !/13 - Differential Equations/004 Euler's method example - pendulum.mp434MB

~Get Your Files Here !/13 - Differential Equations/005 Euler's method example - pendulum with drag.mp416.15MB

~Get Your Files Here !/13 - Differential Equations/006 Runge-Kutta method introduction.mp414.24MB

~Get Your Files Here !/13 - Differential Equations/007 Runge-Kutta method example I.mp424.49MB

~Get Your Files Here !/13 - Differential Equations/008 Runge-Kutta method example II.mp422.2MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/001 What is gradient descent.mp427.8MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/002 Gradient descent implementation.mp447.54MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/003 Gradient descent with momentum.mp420.02MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/004 Stochastic gradient descent introduction.mp436.45MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 Stochastic gradient descent implementation I.mp4105.86MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/006 Stochastic gradient descent implementation II.mp441.23MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/007 What is ADAGrad.mp422.13MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/008 ADAGrad implementation.mp463.99MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/009 What is RMSProp.mp419.12MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/010 ADAM optimizer introduction.mp412.31MB

~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/011 ADAM optimizer implementation.mp443.02MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/001 First steps in Python.mp413.67MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/002 What are the basic data types.mp415.7MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/003 Booleans.mp46.78MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/004 Strings.mp428.16MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/005 String slicing.mp425.08MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/006 Type casting.mp416.74MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/007 Operators.mp420.63MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/008 Conditional statements.mp417.81MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/009 How to use multiple conditions.mp431.41MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/010 Logical operators.mp417.6MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/011 Loops - for loop.mp418.95MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/012 Loops - while loop.mp414.41MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/013 What are nested loops.mp413.16MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/014 Enumerate.mp415.13MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/015 Break and continue.mp420.42MB

~Get Your Files Here !/16 - Appendix #1 - Python Basics/016 Calculating Fibonacci-numbers.mp48.39MB

~Get Your Files Here !/17 - Appendix #2 - Functions/001 What are functions.mp417.29MB

~Get Your Files Here !/17 - Appendix #2 - Functions/002 Defining functions.mp418.85MB

~Get Your Files Here !/17 - Appendix #2 - Functions/003 Positional arguments and keyword arguments.mp446.11MB

~Get Your Files Here !/17 - Appendix #2 - Functions/004 Returning values.mp48.14MB

~Get Your Files Here !/17 - Appendix #2 - Functions/005 Returning multiple values.mp412.17MB

~Get Your Files Here !/17 - Appendix #2 - Functions/006 Yield operator.mp418.28MB

~Get Your Files Here !/17 - Appendix #2 - Functions/007 What are the most relevant built-in functions.mp415.38MB

~Get Your Files Here !/17 - Appendix #2 - Functions/008 What is recursion.mp435.28MB

~Get Your Files Here !/17 - Appendix #2 - Functions/009 Local vs global variables.mp415.01MB

~Get Your Files Here !/17 - Appendix #2 - Functions/010 The __main__ function.mp414.81MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/001 How to measure the running time of algorithms.mp437.29MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/002 Data structures introduction.mp413.84MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/003 What are array data structures I.mp424.99MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/004 What are array data structures II.mp424.95MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/005 Lists in Python.mp421.74MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/006 Lists in Python - advanced operations.mp439.32MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/007 Lists in Python - list comprehension.mp422.88MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/010 What are tuples.mp414.73MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/011 Mutability and immutability.mp418.49MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/012 What are linked list data structures.mp434.49MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/013 Doubly linked list implementation in Python.mp424.46MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/014 Hashing and O(1) running time complexity.mp430.98MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/015 Dictionaries in Python.mp438.5MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/016 Sets in Python.mp447.14MB

~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/017 Sorting.mp450.57MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/001 What is object oriented programming (OOP).mp412.5MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/002 Class and objects basics.mp410.48MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/003 Using the constructor.mp433.59MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/004 Class variables and instance variables.mp431.01MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/005 Private variables and name mangling.mp419.13MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/006 What is inheritance in OOP.mp418.03MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/007 The super keyword.mp421.23MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/008 Function (method) override.mp418.17MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/009 What is polymorphism.mp421.16MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/010 Polymorphism and abstraction example.mp433.27MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/011 Modules.mp421.79MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/012 The __str__ function.mp415.67MB

~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/013 Comparing objects - overriding functions.mp440.18MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/001 What is the key advantage of NumPy.mp417.18MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/002 Creating and updating arrays.mp433.76MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/003 Dimension of arrays.mp436.26MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/004 Indexes and slicing.mp431.5MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/005 Types.mp419.29MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/006 Reshape.mp433.84MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/007 Stacking and merging arrays.mp427.69MB

~Get Your Files Here !/20 - Appendix #5 - NumPy/008 Filter.mp415.24MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/001 What is Pandas.mp425.43MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/002 First steps.mp410.44MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/003 Series.mp426.94MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/004 DataFrames.mp418.45MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/005 DataFrame operations.mp441.3MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/006 Speed comparison - DataFrame operations.mp428.65MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/007 Reading CSV and text files.mp435.23MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/008 Operations.mp432.93MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/009 Data filtering.mp427.06MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/010 Using the apply() function.mp430.85MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/011 Speed comparison - loops and apply().mp417.77MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/012 What is vectorization.mp426.44MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/013 Vectorization example I.mp422.18MB

~Get Your Files Here !/21 - Appendix #6 - Pandas/014 Vectorization example II.mp420.81MB