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# LiveLessons - Calculus for Machine Learning (2021)

LiveLessons - Calculus for Machine Learning
WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~4033 kbps | 30 fps
AAC | 317 Kbps | 48.0 KHz | 2 channels | 06:13:39 | 10.9 GB
Genre: eLearning Video / Development, Machine Learning, Calculus

Much of machine learning is built around the idea of loss functions and optimizing for them. To understand them, you first need to understand Calculus.

1 Calculus for Machine Learning LiveLessons (Video Training) – Introduction
2 Topics
3 1.1 Differential versus Integral Calculus
4 1.2 A Brief History
5 1.3 Calculus of the Infinitesimals
6 1.4 Modern Applications
7 Topics
8 2.1 Continuous versus Discontinuous Functions
9 2.2 Solving via Factoring
10 2.3 Solving via Approaching
11 2.4 Approaching Infinity
12 2.5 Exercises
13 Topics
14 3.1 Delta Method
15 3.2 The Most Common Representation
16 3.3 Derivative Notation
17 3.4 Constants
18 3.5 Power Rule
19 3.6 Constant Product Rule
20 3.7 Sum Rule
21 3.8 Exercises
22 Topics
23 4.1 Product Rule
24 4.2 Quotient Rule
25 4.3 Chain Rule
26 4.4 Exercises
27 4.5 Power Rule on a Function Chain
28 Topics
29 5.1 Introduction
30 5.2 Autodiff with PyTorch
31 5.3 Autodiff with TensorFlow
32 5.4 Directed Acyclic Graph of a Line Equation
33 5.5 Fitting a Line with Machine Learning
34 Topics
35 6.1 Derivatives of Multivariate Functions
36 6.2 Partial Derivative Exercises
37 6.3 Geometrical Examples
38 6.4 Geometrical Exercises
39 6.5 Notation
40 6.6 Chain Rule
41 6.7 Chain Rule Exercises
42 Topics
43 7.1 Single-Point Regression
44 7.2 Partial Derivatives of Quadratic Cost
45 7.3 Descending the Gradient of Cost
46 7.4 Gradient of Mean Squared Error
47 7.5 Backpropagation
48 7.6 Higher-Order Partial Derivatives
49 7.7 Exercise
50 Topics
51 8.1 Binary Classification
52 8.2 The Confusion Matrix and ROC Curve
53 8.3 Indefinite Integrals
54 8.4 Definite Integrals
55 8.5 Numeric Integration with Python
56 8.6 Exercises
57 8.7 Finding the Area Under the ROC Curve
58 8.8 Resources for Further Study of Calculus

also You can find my other helpful Programming-posts
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General
Complete name : 16 - 3.3 Derivative Notation.mp4
Format : MPEG-4
Format profile : Base Media / Version 2
Codec ID : mp42 (mp42/mp41)
File size : 131 MiB
Duration : 4 min 12 s
Overall bit rate mode : Variable
Overall bit rate : 4 357 kb/s
Encoded date : UTC 2020-12-07 16:35:25
Tagged date : UTC 2020-12-07 16:36:23
TIM : 00:00:00:00
TSC : 30
TSZ : 1

Video
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Format : AVC
Format profile : Main@L4.1
Format settings : CABAC / 2 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 2 frames
Format settings, GOP : M=2, N=15
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 4 min 12 s
Bit rate mode : Variable
Bit rate : 4 033 kb/s
Maximum bit rate : 768 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
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Scan type : Progressive
Bits/(Pixel*Frame) : 0.146
Stream size : 122 MiB (93%)
Language : English
Encoded date : UTC 2020-12-07 16:35:25
Tagged date : UTC 2020-12-07 16:35:25
Color range : Limited
Color primaries : BT.709
Transfer characteristics : BT.709
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Audio
ID : 2
Format : AAC
Format profile : LC
Codec ID : mp4a-40-2
Duration : 4 min 12 s
Source duration : 4 min 12 s
Bit rate mode : Constant
Bit rate : 317 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 48.0 kHz
Frame rate : 46.875 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 9.57 MiB (7%)
Source stream size : 9.57 MiB (7%)
Language : English
Encoded date : UTC 2020-12-07 16:35:25
Tagged date : UTC 2020-12-07 16:35:25
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