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Probability visualization
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Ebook Introduction to computation and programming using Python: Part 2 include of the following content: chapter 11 plotting and more about classes; chapter 12 stochastic programs, probability, and statistics; chapter 13 random walks and more about data visualization; chapter 14 monte carlo simulation; chapter 15 understanding experimental data; chapter 16 lies, damned lies, and statistics; chapter 17 knapsack and graph optimization problems; chapter 18 dynamic programming; chapter 19 a quick look at machine learning.
158p
runthenight03
07-12-2022
23
5
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Lecture Introduction to Machine learning and Data mining: Lesson 9.1. This lesson provides students with content about: probabilistic modeling; key concepts; application to classification and clustering; measurement uncertainty; basics of probability theory;... Please refer to the detailed content of the lecture!
45p
hanlamcoman
26-11-2022
13
4
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In this paper, a novel privacy preserving method for data publication is proposed based on conditional probability distribution and machine learning techniques, which can achieve different prior beliefs for different transactions.
15p
guernsey
28-12-2021
6
0
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The structural and optical characterization of the nanophosphor is described. The nanophosphor shows a prominent emission in the red region. The concentration dependence of the Pr3þ luminescence is investigated. The Photoluminescence analysis, CIE and CCT coordinates suggest that phosphors derived from LaOF: Pr3þmight a probable application for white LEDs.
9p
meyerowitz
25-12-2021
3
1
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Visualizing the complex probability landscape of stochastic gene regulatory networks can further biologists’ understanding of phenotypic behavior associated with specific genes.
14p
vioklahoma2711
19-11-2020
9
1
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There is growing interest in utilizing artificial intelligence, and particularly deep learning, for computer vision in histopathology. While accumulating studies highlight expert-level performance of convolutional neural networks (CNNs) on focused classification tasks, most studies rely on probability distribution scores with empirically defined cutoff values based on post-hoc analysis.
15p
viconnecticut2711
28-10-2020
19
0
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Predicted RNA secondary structures are typically visualized using dot-plots for base pair binding probabilities and planar graphs for unique structures, such as the minimum free energy structure. These are however difficult to analyze simultaneously.
12p
vijisoo2711
27-10-2020
10
0
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(BQ) Part 1 of the document Methods, models, and decisions in business analytics (Second edition) has contents: Introduction to business analytics, analytics on spreadsheets, visualizing and exploring data, descriptive statistical measures, probability distributions and data modeling,... and other contents. Invite you to refer.
259p
thuongdanguyetan04
25-07-2019
20
3
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(bq) part 1 book “statistics for managers using microsoft excel” has contents: defining and collecting data, organizing and visualizing variables, numerical descriptive measures, basic probability, discrete probability distributions, the normal distribution and other continuous distributions,… and other contents.
331p
tieu_vu15
07-09-2018
46
2
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(bq) part 1 book "applied statistics - in business and economics" has contents: overview of statistics, data collection, describing data visually, descriptive statistics, probability, discrete probability distributions, discrete probability distributions, sampling distributions and estimation, one sample hypothesis test.
416p
bautroibinhyen23
02-04-2017
78
5
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(bq) part 1 book "business analytics" hass contents: introduction to business analytics, analytics on spreadsheets, visualizing and exploring data, descriptive statistical measures, probability distributions and data modeling, sampling and estimation, sampling and estimation,...and other contents.
327p
bautroibinhyen23
02-04-2017
52
6
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(bq) part 1 book "basic business statistics - concepts and applications" has contents: introduction, organizing and visualizing data, basic probability, discrete probability distributions, the normal distribution and other continuous distributions,...and other contents.
444p
bautroibinhyen23
02-04-2017
56
9
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Introduction It’s probably safe to say that the majority of Visual Basic developers will use VB to access databases sooner or later. So why aren’t there more books on databases and Visual Basic? Because database access is the equivalent of plumbing. Like plumbing, there are dozens of segments you must put together before the whole thing works, and when it doesn’t work, the part that’s causing the problem isn’t immediately obvious. Put bluntly, it’s a decidedly unsexy topic. This book puts the plumbing in order. It won’t help you hike up your pants when you reach under the sink, but...
330p
nt18104
30-05-2013
56
5
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Welcome to the often fascinating, sometimes frustrating, and almost always fun game of golf. It is a sport that can be played for a lifetime, yet can never be mastered completely. Some call it a good walk spoiled, but they probably have never experienced the thrill of hitting a ball high into the air in exactly the right direction, or the pleasure of making a long putt for a birdie. Doing either of those things takes a fair bit of learning, since golf is a complicated game. But put forth a patient effort, and positive results will eventually follow.
253p
bunmang_1
08-05-2013
69
17
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Reality TV is only one of the ways in which the visual images of surveillance cameras are circulated. It is institutional and often commercial, so usually individuals do not have an active role in producing it – except when it comes to some programs presenting ‘the funniest home videos’. Webcams are of a different order. Also many of them are institutional and commercial, but there is a huge amount of webcams installed by individuals, for other individuals, without any commercial tone.
55p
dambaotaikhoan
06-05-2013
53
4
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We present a novel approach to automatically annotate images using associated text. We detect and classify all entities (persons and objects) in the text after which we determine the salience (the importance of an entity in a text) and visualness (the extent to which an entity can be perceived visually) of these entities. We combine these measures to compute the probability that an entity is present in the image. The suitability of our approach was successfully tested on 100 image-text pairs of Yahoo! News. ...
8p
hongvang_1
16-04-2013
46
2
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With every release of Visual Basic, Microsoft has added new functionality to enhance the applications that can be created. Visual Basic 6 took the first real step toward a client/server development tool that could create robust Windows applications. This newest release of Visual Basic, titled Visual Basic .NET, makes the jump from a mostly Windows-based application system to a truly dynamic development environment that allows you to design both Windows and Web-centric applications.
599p
trac2_123
11-04-2013
153
30
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If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses.
125p
phungnguyet_123
20-02-2013
65
7
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In Practical Vim, I demonstrate by showing examples rather than by describing them. That’s not easy to do with the written word. To show the steps taken during an interactive editing session, I’ve adopted a simple notation that illustrates the keystrokes and the contents of a Vim buffer side by side. If you’re keen to jump to the action, you can safely skip this chapter for now. It describes each of the conventions used throughout Practical Vim, many of which you’ll find to be self-explanatory. At some point, you’ll probably come across a symbol and wonder what it stands for.
329p
thienbinh1311
13-12-2012
66
5
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AT THIS POINT, you’re probably asking yourself, “Why should I learn another language? Why not use C++?” (or VB or Java or whatever your preferred language is). At least, you were probably asking yourself that before you bought the book. Languages are a little bit like power tools. Each tool has it’s own strengths and weaknesses. Though I could use my router to trim a board to length, it would be much easier if I used a miter saw. Similarly, I could use a language like LISP to write a graphics-intensive game, but it would probably be easier to use C++.
258p
daokim
10-08-2009
246
73
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