[ DevCourseWeb.com ] Udemy - Numerical Methods and Optimization in Python
DevCourseWeb com Udemy - Numerical Methods and Optimization in Python
File Size: 3.46 GB
Creat Time: 2024-06-04 02:06:49
Last Active: 2024-09-30 20:45:33
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File List:
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 Stochastic gradient descent implementation I.mp4 108.40 MB
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/008 ADAGrad implementation.mp4 65.53 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/017 Sorting.mp4 51.78 MB
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/002 Gradient descent implementation.mp4 48.68 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/016 Sets in Python.mp4 48.28 MB
- ~Get Your Files Here !/17 - Appendix #2 - Functions/003 Positional arguments and keyword arguments.mp4 47.22 MB
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/011 ADAM optimizer implementation.mp4 44.05 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/005 DataFrame operations.mp4 42.29 MB
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/006 Stochastic gradient descent implementation II.mp4 42.21 MB
- ~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/013 Comparing objects - overriding functions.mp4 41.14 MB
- ~Get Your Files Here !/12 - #3 Challenge - Monte-Carlo Integration/002 Monte-Carlo integral implementation I.mp4 40.72 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/006 Lists in Python - advanced operations.mp4 40.26 MB
- ~Get Your Files Here !/09 - Interpolation/001 What is interpolation.mp4 39.65 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/015 Dictionaries in Python.mp4 39.42 MB
- ~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/008 PageRank algorithm - the final formula.mp4 38.64 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/001 How to measure the running time of algorithms.mp4 38.19 MB
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/004 Stochastic gradient descent introduction.mp4 37.32 MB
- ~Get Your Files Here !/20 - Appendix #5 - NumPy/003 Dimension of arrays.mp4 37.13 MB
- ~Get Your Files Here !/05 - Gauss Elimination Implementation/001 Gaussian elimination implementation I.mp4 36.53 MB
- ~Get Your Files Here !/17 - Appendix #2 - Functions/008 What is recursion.mp4 36.13 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/007 Reading CSV and text files.mp4 36.07 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/012 What are linked list data structures.mp4 35.32 MB
- ~Get Your Files Here !/13 - Differential Equations/004 Euler's method example - pendulum.mp4 34.81 MB
- ~Get Your Files Here !/20 - Appendix #5 - NumPy/006 Reshape.mp4 34.65 MB
- ~Get Your Files Here !/20 - Appendix #5 - NumPy/002 Creating and updating arrays.mp4 34.57 MB
- ~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/003 Using the constructor.mp4 34.40 MB
- ~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/010 Polymorphism and abstraction example.mp4 34.07 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/008 Operations.mp4 33.72 MB
- ~Get Your Files Here !/20 - Appendix #5 - NumPy/004 Indexes and slicing.mp4 32.26 MB
- ~Get Your Files Here !/16 - Appendix #1 - Python Basics/009 How to use multiple conditions.mp4 32.16 MB
- ~Get Your Files Here !/19 - Appendix #4 - Object Oriented Programming (OOP)/004 Class variables and instance variables.mp4 31.75 MB
- ~Get Your Files Here !/18 - Appendix #3 - Data Structures in Python/014 Hashing and O(1) running time complexity.mp4 31.72 MB
- ~Get Your Files Here !/09 - Interpolation/004 Interpolation implementation II.mp4 31.59 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/010 Using the apply() function.mp4 31.59 MB
- ~Get Your Files Here !/12 - #3 Challenge - Monte-Carlo Integration/001 What is the Monte-Carlo method.mp4 30.83 MB
- ~Get Your Files Here !/05 - Gauss Elimination Implementation/002 Gaussian elimination implementation II.mp4 30.28 MB
- ~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/005 Matrix representation of the problem.mp4 29.76 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/006 Speed comparison - DataFrame operations.mp4 29.34 MB
- ~Get Your Files Here !/16 - Appendix #1 - Python Basics/004 Strings.mp4 28.83 MB
- ~Get Your Files Here !/14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/001 What is gradient descent.mp4 28.47 MB
- ~Get Your Files Here !/20 - Appendix #5 - NumPy/007 Stacking and merging arrays.mp4 28.35 MB
- ~Get Your Files Here !/02 - ### NUMERICAL METHODS ###/004 Speed consideration - C, Java and Python.mp4 28.17 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/009 Data filtering.mp4 27.71 MB
- ~Get Your Files Here !/03 - Linear Algebra/003 Running time analysis of matrix multiplication.mp4 27.69 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/003 Series.mp4 27.59 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/012 What is vectorization.mp4 27.07 MB
- ~Get Your Files Here !/09 - Interpolation/003 Interpolation implementation I.mp4 26.75 MB
- ~Get Your Files Here !/08 - #2 Challenge - Google's PageRank Algorithm/002 Crawling the web with breadth-first search.mp4 26.50 MB
- ~Get Your Files Here !/21 - Appendix #6 - Pandas/001 What is Pandas.mp4 26.04 MB
- ~Get Your Files Here !/16 - Appendix #1 - Python Basics/005 String slicing.mp4 25.68 MB
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