Numerical Methods and Optimization in Python

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Torrent File Content (481 files)

Numerical Methods and Optimization in Python
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 Stochastic gradient descent implementation I.mp4 -

105.86 MB

TutsNode.com.txt -

63 bytes

[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/005 Stochastic gradient descent implementation I_en.vtt -

24.44 KB

[TutsNode.com] - 01 - Introduction
[TutsNode.com] - 01 - Introduction/001 Introduction_en.vtt -

2.44 KB

[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/008 ADAGrad implementation_en.vtt -

13.63 KB

[TutsNode.com] - 13 - Differential Equations
[TutsNode.com] - 13 - Differential Equations/004 Euler's method example - pendulum_en.vtt -

12.94 KB

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/001 How to measure the running time of algorithms_en.vtt -

12.61 KB

[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/004 Stochastic gradient descent introduction_en.vtt -

11.84 KB

[TutsNode.com] - 17 - Appendix #2 - Functions
[TutsNode.com] - 17 - Appendix #2 - Functions/003 Positional arguments and keyword arguments_en.vtt -

11.69 KB

[TutsNode.com] - 05 - Gauss Elimination Implementation
[TutsNode.com] - 05 - Gauss Elimination Implementation/001 Gaussian elimination implementation I_en.vtt -

11.52 KB

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/017 Sorting_en.vtt -

11.36 KB

[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/002 Gradient descent implementation_en.vtt -

11.3 KB

[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm
[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm/004 PageRank algorithm example_en.vtt -

11.2 KB

[TutsNode.com] - 21 - Appendix #6 - Pandas
[TutsNode.com] - 21 - Appendix #6 - Pandas/005 DataFrame operations_en.vtt -

10.85 KB

[TutsNode.com] - 12 - #3 Challenge - Monte-Carlo Integration
[TutsNode.com] - 12 - #3 Challenge - Monte-Carlo Integration/003 MonteCarloIntegral2.py -

676 bytes

[TutsNode.com] - 22 - Course Materials (DOWNLOADS)
[TutsNode.com] - 22 - Course Materials (DOWNLOADS)/001 Course material.html -

58 bytes

[TutsNode.com] - 03 - Linear Algebra
[TutsNode.com] - 03 - Linear Algebra/002 MatrixMultiplication.py -

496 bytes

[TutsNode.com] - 09 - Interpolation
[TutsNode.com] - 09 - Interpolation/001 What is interpolation_en.vtt -

10.79 KB

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/015 Dictionaries in Python_en.vtt -

10.69 KB

[TutsNode.com] - 20 - Appendix #5 - NumPy
[TutsNode.com] - 20 - Appendix #5 - NumPy/003 Dimension of arrays_en.vtt -

10.65 KB

[TutsNode.com] - 17 - Appendix #2 - Functions
[TutsNode.com] - 17 - Appendix #2 - Functions/008 What is recursion_en.vtt -

10.64 KB

[TutsNode.com] - 03 - Linear Algebra
[TutsNode.com] - 03 - Linear Algebra/004 MatrixVectorMultiplication.py -

423 bytes

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/012 What are linked list data structures_en.vtt -

10.3 KB

[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/011 ADAM optimizer implementation_en.vtt -

10.18 KB

[TutsNode.com] - 03 - Linear Algebra
[TutsNode.com] - 03 - Linear Algebra/005 InnerProduct.py -

386 bytes

[TutsNode.com] - 13 - Differential Equations
[TutsNode.com] - 13 - Differential Equations/001 How to deal with differential equations_en.vtt -

9.79 KB

[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm
[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm/005 Matrix representation of the problem_en.vtt -

9.77 KB

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/014 Hashing and O(1) running time complexity_en.vtt -

9.73 KB

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/016 Sets in Python_en.vtt -

9.56 KB

[TutsNode.com] - 12 - #3 Challenge - Monte-Carlo Integration
[TutsNode.com] - 12 - #3 Challenge - Monte-Carlo Integration/002 Monte-Carlo integral implementation I_en.vtt -

9.51 KB

[TutsNode.com] - 20 - Appendix #5 - NumPy
[TutsNode.com] - 20 - Appendix #5 - NumPy/004 Indexes and slicing_en.vtt -

9.38 KB

[TutsNode.com] - 02 - ### NUMERICAL METHODS ###
[TutsNode.com] - 02 - ### NUMERICAL METHODS ###/001 Floating point numbers_en.vtt -

9.14 KB

[TutsNode.com] - 19 - Appendix #4 - Object Oriented Programming (OOP)
[TutsNode.com] - 19 - Appendix #4 - Object Oriented Programming (OOP)/013 Comparing objects - overriding functions_en.vtt -

9.05 KB

[TutsNode.com] - 16 - Appendix #1 - Python Basics
[TutsNode.com] - 16 - Appendix #1 - Python Basics/009 How to use multiple conditions_en.vtt -

9.05 KB

[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm
[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm/008 PageRank algorithm - the final formula_en.vtt -

8.93 KB

[TutsNode.com] - 20 - Appendix #5 - NumPy
[TutsNode.com] - 20 - Appendix #5 - NumPy/006 Reshape_en.vtt -

8.85 KB

[TutsNode.com] - 16 - Appendix #1 - Python Basics
[TutsNode.com] - 16 - Appendix #1 - Python Basics/004 Strings_en.vtt -

8.77 KB

[TutsNode.com] - 04 - Linear Systems and Gaussian Elimination
[TutsNode.com] - 04 - Linear Systems and Gaussian Elimination/005 Mathematical formulation of Gaussian elimination.html -

345 bytes

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/006 Lists in Python - advanced operations_en.vtt -

8.71 KB

[TutsNode.com] - 21 - Appendix #6 - Pandas
[TutsNode.com] - 21 - Appendix #6 - Pandas/009 Data filtering_en.vtt -

8.67 KB

[TutsNode.com] - 05 - Gauss Elimination Implementation
[TutsNode.com] - 05 - Gauss Elimination Implementation/002 GaussElimination.py -

838 bytes

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/004 What are array data structures II_en.vtt -

8.6 KB

[TutsNode.com] - 20 - Appendix #5 - NumPy
[TutsNode.com] - 20 - Appendix #5 - NumPy/002 Creating and updating arrays_en.vtt -

8.47 KB

[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm
[TutsNode.com] - 08 - #2 Challenge - Google's PageRank Algorithm/002 Crawling the web with breadth-first search_en.vtt -

8.3 KB

[TutsNode.com] - 21 - Appendix #6 - Pandas
[TutsNode.com] - 21 - Appendix #6 - Pandas/003 Series_en.vtt -

8.16 KB

[TutsNode.com] - 12 - #3 Challenge - Monte-Carlo Integration
[TutsNode.com] - 12 - #3 Challenge - Monte-Carlo Integration/001 What is the Monte-Carlo method_en.vtt -

8.15 KB

[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python
[TutsNode.com] - 18 - Appendix #3 - Data Structures in Python/003 What are array data structures I_en.vtt -

8.05 KB

[TutsNode.com] - 05 - Gauss Elimination Implementation
[TutsNode.com] - 05 - Gauss Elimination Implementation/002 Gaussian elimination implementation II_en.vtt -

8.01 KB

[TutsNode.com] - 21 - Appendix #6 - Pandas
[TutsNode.com] - 21 - Appendix #6 - Pandas/010 Using the apply() function_en.vtt -

7.95 KB

[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
[TutsNode.com] - 14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###/001 What is gradient descent_en.vtt -

7.9 KB

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