programowanie

Math for programmers video edition:

(kurs UDEMY 'matematyka dla programistów' jest również w dziale 'matematyka')

1 - Chapter 1. Learning math with code.mp4
10 - Chapter 2. Subtraction, displacement, and distance.mp4
100 - Chapter 14. Exploring spaces of functions.mp4
101 - Chapter 14. Finding the line of best fit using gradient descent.mp4
102 - Chapter 14. Fitting a nonlinear function.mp4
103 - Chapter 15. Classifying data with logistic regression.mp4
104 - Chapter 15. Testing a classification function on real data.mp4
105 - Chapter 15. Picturing a decision boundary.mp4
106 - Chapter 15. Framing classification as a regression problem.mp4
107 - Chapter 15. Introducing the sigmoid function.mp4
108 - Chapter 15. Exploring possible logistic functions.mp4
109 - Chapter 15. Measuring the quality of fit for a logistic function.mp4
11 - Chapter 2. Angles and trigonometry in the plane.mp4
110 - Chapter 15. Finding the best logistic function.mp4
111 - Chapter 15. Testing and understanding the best logistic classifier.mp4
112 - Chapter 16. Training neural networks.mp4
113 - Chapter 16. Classifying images of handwritten digits.mp4
114 - Chapter 16. Designing a neural network.mp4
115 - Chapter 16. Calculating activations.mp4
116 - Chapter 16. Building a neural network in Python.mp4
117 - Chapter 16. Training a neural network using gradient descent.mp4
118 - Chapter 16. Automatic training with scikit-learn.mp4
119 - Chapter 16. Calculating gradients with backpropagation.mp4
12 - Chapter 2. From components back to angles.mp4
120 - Appendix B. Python tips and tricks.mp4
121 - Appendix B. Collections of data in Python.mp4
122 - Appendix B. Generators.mp4
123 - Appendix B. Working with functions.mp4
124 - Appendix B. Plotting data with Matplotlib.mp4
125 - Appendix B. Object-oriented programming in Python.mp4
126 - Appendix B. Operator overloading.mp4
13 - Chapter 2. Transforming collections of vectors.mp4
14 - Chapter 3. Ascending to the 3D world.mp4
15 - Chapter 3. Vector arithmetic in 3D.mp4
16 - Chapter 3. Computing angles and directions.mp4
17 - Chapter 3. The dot product - Measuring vector alignment.mp4
18 - Chapter 3. Measuring angles with the dot product.mp4
19 - Chapter 3. The cross product - Measuring oriented area.mp4
2 - Chapter 1. Finding a good deal.mp4
20 - Chapter 3. Finding the length of the cross product.mp4
21 - Chapter 3. Rendering a 3D object in 2D.mp4
22 - Chapter 4. Transforming vectors and graphics.mp4
23 - Chapter 4. Composing vector transformations.mp4
24 - Chapter 4. Rotating an object about an axis.mp4
25 - Chapter 4. Linear transformations.mp4
26 - Chapter 4. Why linear transformations.mp4
27 - Chapter 4. Exercises.mp4
28 - Chapter 5. Computing transformations with matrices.mp4
29 - Chapter 5. Multiplying a matrix with a vector.mp4
3 - Chapter 1. Modeling the physical world.mp4
30 - Chapter 5. Implementing matrix multiplication.mp4
31 - Chapter 5. Interpreting matrices of different shapes.mp4
32 - Chapter 5. Viewing square and non-square matrices as vector functions.mp4
33 - Chapter 5. Composing linear maps.mp4
34 - Chapter 5. Translating vectors with matrices.mp4
35 - Chapter 5. Translating 3D objects in a 4D world.mp4
37 - Chapter 6. Improving the Vec2 class.mp4
38 - Chapter 6. Building a vector base class.mp4
39 - Chapter 6. Unit testing vector space classes.mp4
4 - Chapter 1. How not to learn math.mp4
40 - Chapter 6. Exploring different vector spaces.mp4
41 - Chapter 6. Treating functions as vectors.mp4
42 - Chapter 6. Manipulating images with vector operations.mp4
43 - Chapter 6. Looking for smaller vector spaces.mp4
44 - Chapter 6. Spanning a bigger space.mp4
45 - Chapter 6. Finding subspaces of the vector space of functions.mp4
46 - Chapter 6. Exercises.mp4
47 - Chapter 7. Solving systems of linear equations.mp4
48 - Chapter 7. Finding intersection points of lines.mp4
49 - Chapter 7. Linear equations in matrix notation.mp4
5 - Chapter 1. Using your well-trained left brain.mp4
50 - Chapter 7. Identifying unsolvable systems.mp4
51 - Chapter 7. Generalizing linear equations to higher dimensions.mp4
52 - Chapter 7. Studying hyperplanes algebraically.mp4
53 - Chapter 7. Exercises.mp4
54 - Chapter 7. Changing basis by solving linear equations.mp4
55 - Part 2. Calculus and physical simulation.mp4
56 - Chapter 8. Understanding rates of change.mp4
57 - Chapter 8. Plotting the average flow rate over time.mp4
58 - Chapter 8. Approximating instantaneous flow rates.mp4
59 - Chapter 8. Approximating the change in volume.mp4
6 - Part 1. Vectors and graphics.mp4
60 - Chapter 8. Plotting the volume over time.mp4
61 - Chapter 8. Improving the approximation.mp4
62 - Chapter 9. Simulating moving objects.mp4
63 - Chapter 9. Simulating acceleration.mp4
64 - Chapter 9. Digging deeper into Euler’s method.mp4
65 - Chapter 9. Running Euler’s method with smaller time steps.mp4
66 - Chapter 10. Working with symbolic expressions.mp4
67 - Chapter 10. Modeling algebraic expressions.mp4
68 - Chapter 10. Putting a symbolic expression to work.mp4
69 - Chapter 10. Expanding an expression.mp4
7 - Chapter 2. Drawing with 2D vectors.mp4
70 - Chapter 10. Finding the derivative of a function.mp4
71 - Chapter 10. Derivatives of some special functions.mp4
72 - Chapter 10. Taking derivatives automatically.mp4
73 - Chapter 10. Integrating functions symbolically.mp4
74 - Chapter 11. Simulating force fields.mp4
75 - Chapter 11. Modeling gravitational fields.mp4
76 - Chapter 11. Adding gravity to the asteroid game.mp4
77 - Chapter 11. Introducing potential energy.mp4
78 - Chapter 11. Connecting energy and forces with the gradient.mp4
79 - Chapter 11. Finding the steepness of a graph with the gradient.mp4
8 - Chapter 2. 2D drawing in Python.mp4
80 - Chapter 12. Optimizing a physical system.mp4
81 - Chapter 12. Testing a projectile simulation.mp4
82 - Chapter 12. Calculating the optimal range.mp4
83 - Chapter 12. Solving for the maximum range.mp4
84 - Chapter 12. Enhancing our simulation.mp4
85 - Chapter 12. Solving for the range of the projectile in 3D.mp4
86 - Chapter 12. Optimizing range using gradient ascent.mp4
87 - Chapter 12. Implementing gradient ascent.mp4
88 - Chapter 13. Analyzing sound waves with a Fourier series.mp4
89 - Chapter 13. Playing sound waves in Python.mp4
9 - Chapter 2. Plane vector arithmetic.mp4
90 - Chapter 13. Turning a sinusoidal wave into a sound.mp4
91 - Chapter 13. Combining sound waves to make new ones.mp4
92 - Chapter 13. Building a linear combination of sinusoids.mp4
93 - Chapter 13. Decomposing a sound wave into its Fourier series.mp4
94 - Chapter 13. Defining an inner product for periodic functions.mp4
95 - Chapter 13. Fourier coefficients for other waveforms.mp4
96 - Part 3. Machine learning applications.mp4
97 - Chapter 14. Fitting functions to data.mp4
98 - Chapter 14. Measuring the quality of fit for a function.mp4
99 - Chapter 14. Calculating cost for car price functions.mp4


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