Math for Programmers video edition
Focused View
17:43:31
31 View
1 - Chapter 1. Learning math with code.mp4
08:37
2 - Chapter 1. Finding a good deal.mp4
10:23
3 - Chapter 1. Modeling the physical world.mp4
05:19
4 - Chapter 1. How not to learn math.mp4
07:41
5 - Chapter 1. Using your well-trained left brain.mp4
12:49
6 - Part 1. Vectors and graphics.mp4
04:01
7 - Chapter 2. Drawing with 2D vectors.mp4
08:17
8 - Chapter 2. 2D drawing in Python.mp4
05:43
9 - Chapter 2. Plane vector arithmetic.mp4
10:51
10 - Chapter 2. Subtraction, displacement, and distance.mp4
13:43
11 - Chapter 2. Angles and trigonometry in the plane.mp4
09:42
12 - Chapter 2. From components back to angles.mp4
10:47
13 - Chapter 2. Transforming collections of vectors.mp4
10:21
14 - Chapter 3. Ascending to the 3D world.mp4
10:51
15 - Chapter 3. Vector arithmetic in 3D.mp4
08:27
16 - Chapter 3. Computing angles and directions.mp4
06:55
17 - Chapter 3. The dot product - Measuring vector alignment.mp4
08:06
18 - Chapter 3. Measuring angles with the dot product.mp4
09:09
19 - Chapter 3. The cross product - Measuring oriented area.mp4
07:07
20 - Chapter 3. Finding the length of the cross product.mp4
09:16
21 - Chapter 3. Rendering a 3D object in 2D.mp4
10:05
22 - Chapter 4. Transforming vectors and graphics.mp4
08:50
23 - Chapter 4. Composing vector transformations.mp4
05:47
24 - Chapter 4. Rotating an object about an axis.mp4
10:01
25 - Chapter 4. Linear transformations.mp4
07:23
26 - Chapter 4. Why linear transformations.mp4
11:42
27 - Chapter 4. Exercises.mp4
10:39
28 - Chapter 5. Computing transformations with matrices.mp4
06:33
29 - Chapter 5. Multiplying a matrix with a vector.mp4
11:47
30 - Chapter 5. Implementing matrix multiplication.mp4
10:46
31 - Chapter 5. Interpreting matrices of different shapes.mp4
08:02
32 - Chapter 5. Viewing square and non-square matrices as vector functions.mp4
09:10
33 - Chapter 5. Composing linear maps.mp4
08:30
34 - Chapter 5. Translating vectors with matrices.mp4
08:04
35 - Chapter 5. Translating 3D objects in a 4D world.mp4
10:36
37 - Chapter 6. Improving the Vec2 class.mp4
05:14
38 - Chapter 6. Building a vector base class.mp4
10:18
39 - Chapter 6. Unit testing vector space classes.mp4
06:25
40 - Chapter 6. Exploring different vector spaces.mp4
07:52
41 - Chapter 6. Treating functions as vectors.mp4
07:55
42 - Chapter 6. Manipulating images with vector operations.mp4
09:07
43 - Chapter 6. Looking for smaller vector spaces.mp4
07:32
44 - Chapter 6. Spanning a bigger space.mp4
08:39
45 - Chapter 6. Finding subspaces of the vector space of functions.mp4
09:17
46 - Chapter 6. Exercises.mp4
10:02
47 - Chapter 7. Solving systems of linear equations.mp4
10:41
48 - Chapter 7. Finding intersection points of lines.mp4
11:48
49 - Chapter 7. Linear equations in matrix notation.mp4
07:33
50 - Chapter 7. Identifying unsolvable systems.mp4
08:15
51 - Chapter 7. Generalizing linear equations to higher dimensions.mp4
07:44
52 - Chapter 7. Studying hyperplanes algebraically.mp4
11:18
53 - Chapter 7. Exercises.mp4
06:42
54 - Chapter 7. Changing basis by solving linear equations.mp4
12:16
55 - Part 2. Calculus and physical simulation.mp4
05:05
56 - Chapter 8. Understanding rates of change.mp4
12:19
57 - Chapter 8. Plotting the average flow rate over time.mp4
07:27
58 - Chapter 8. Approximating instantaneous flow rates.mp4
12:19
59 - Chapter 8. Approximating the change in volume.mp4
10:13
60 - Chapter 8. Plotting the volume over time.mp4
07:54
61 - Chapter 8. Improving the approximation.mp4
08:54
62 - Chapter 9. Simulating moving objects.mp4
10:29
63 - Chapter 9. Simulating acceleration.mp4
05:30
64 - Chapter 9. Digging deeper into Eulers method.mp4
07:08
65 - Chapter 9. Running Eulers method with smaller time steps.mp4
07:04
66 - Chapter 10. Working with symbolic expressions.mp4
09:02
67 - Chapter 10. Modeling algebraic expressions.mp4
12:57
68 - Chapter 10. Putting a symbolic expression to work.mp4
11:18
69 - Chapter 10. Expanding an expression.mp4
08:04
70 - Chapter 10. Finding the derivative of a function.mp4
07:51
71 - Chapter 10. Derivatives of some special functions.mp4
08:47
72 - Chapter 10. Taking derivatives automatically.mp4
11:57
73 - Chapter 10. Integrating functions symbolically.mp4
07:30
74 - Chapter 11. Simulating force fields.mp4
07:41
75 - Chapter 11. Modeling gravitational fields.mp4
05:04
76 - Chapter 11. Adding gravity to the asteroid game.mp4
07:15
77 - Chapter 11. Introducing potential energy.mp4
06:55
78 - Chapter 11. Connecting energy and forces with the gradient.mp4
09:21
79 - Chapter 11. Finding the steepness of a graph with the gradient.mp4
11:40
80 - Chapter 12. Optimizing a physical system.mp4
06:11
81 - Chapter 12. Testing a projectile simulation.mp4
09:03
82 - Chapter 12. Calculating the optimal range.mp4
07:46
83 - Chapter 12. Solving for the maximum range.mp4
08:21
84 - Chapter 12. Enhancing our simulation.mp4
05:15
85 - Chapter 12. Solving for the range of the projectile in 3D.mp4
08:29
86 - Chapter 12. Optimizing range using gradient ascent.mp4
08:14
87 - Chapter 12. Implementing gradient ascent.mp4
08:24
88 - Chapter 13. Analyzing sound waves with a Fourier series.mp4
06:16
89 - Chapter 13. Playing sound waves in Python.mp4
11:02
90 - Chapter 13. Turning a sinusoidal wave into a sound.mp4
10:40
91 - Chapter 13. Combining sound waves to make new ones.mp4
05:18
92 - Chapter 13. Building a linear combination of sinusoids.mp4
06:55
93 - Chapter 13. Decomposing a sound wave into its Fourier series.mp4
06:02
94 - Chapter 13. Defining an inner product for periodic functions.mp4
09:04
95 - Chapter 13. Fourier coefficients for other waveforms.mp4
08:06
96 - Part 3. Machine learning applications.mp4
04:23
97 - Chapter 14. Fitting functions to data.mp4
07:32
98 - Chapter 14. Measuring the quality of fit for a function.mp4
08:11
99 - Chapter 14. Calculating cost for car price functions.mp4
05:18
100 - Chapter 14. Exploring spaces of functions.mp4
07:53
101 - Chapter 14. Finding the line of best fit using gradient descent.mp4
07:38
102 - Chapter 14. Fitting a nonlinear function.mp4
11:03
103 - Chapter 15. Classifying data with logistic regression.mp4
05:56
104 - Chapter 15. Testing a classification function on real data.mp4
06:31
105 - Chapter 15. Picturing a decision boundary.mp4
07:10
106 - Chapter 15. Framing classification as a regression problem.mp4
07:37
107 - Chapter 15. Introducing the sigmoid function.mp4
06:28
108 - Chapter 15. Exploring possible logistic functions.mp4
05:46
109 - Chapter 15. Measuring the quality of fit for a logistic function.mp4
10:02
110 - Chapter 15. Finding the best logistic function.mp4
05:53
111 - Chapter 15. Testing and understanding the best logistic classifier.mp4
08:41
112 - Chapter 16. Training neural networks.mp4
08:33
113 - Chapter 16. Classifying images of handwritten digits.mp4
09:19
114 - Chapter 16. Designing a neural network.mp4
09:14
115 - Chapter 16. Calculating activations.mp4
09:38
116 - Chapter 16. Building a neural network in Python.mp4
09:10
117 - Chapter 16. Training a neural network using gradient descent.mp4
07:15
118 - Chapter 16. Automatic training with scikit-learn.mp4
05:38
119 - Chapter 16. Calculating gradients with backpropagation.mp4
12:08
120 - Appendix B. Python tips and tricks.mp4
07:27
121 - Appendix B. Collections of data in Python.mp4
09:37
122 - Appendix B. Generators.mp4
09:21
123 - Appendix B. Working with functions.mp4
11:24
124 - Appendix B. Plotting data with Matplotlib.mp4
06:47
125 - Appendix B. Object-oriented programming in Python.mp4
06:09
126 - Appendix B. Operator overloading.mp4
06:21
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- language english
- Training sessions 125
- duration 17:43:31
- Release Date 2023/11/06
