## What's hot

Chapter 01 Basic Principles of Digital Systems
Chapter 01 Basic Principles of Digital Systems
SSE_AndyLi

Numerical method (curve fitting)
Numerical method (curve fitting)

scilab
scilab
jay shankar

Linear & Non-Linear Systems |Solved problems|
Linear & Non-Linear Systems |Solved problems|
National Engineering College

Transfer function, determination of transfer function in mechanical and elect...
Transfer function, determination of transfer function in mechanical and elect...

Interpolation
Interpolation
Bhavik A Shah

Fuzzy Logic and Neural Network
Fuzzy Logic and Neural Network
SHIMI S L

Modern Control - Lec 02 - Mathematical Modeling of Systems
Modern Control - Lec 02 - Mathematical Modeling of Systems
Amr E. Mohamed

Control system
Control system
Ashvani Shukla

Number system and its conversions
Number system and its conversions
ShilpaKrishna6

Data Acquisition System
Data Acquisition System
Priyanka Goswami

Damian T. Gordon

Plc course level 1
Plc course level 1

Registers
Registers
Shashi Lata

Robotic chapter 2
Robotic chapter 2
japEveryday

Ch2 mathematical modeling of control system
Ch2 mathematical modeling of control system
Elaf A.Saeed

Artificial Intelligence
Artificial Intelligence
Mhd Sb

Laplace transformation
Laplace transformation
Wasim Shah

Intro automata theory
Intro automata theory
Rajendran

Introduction state machine
Introduction state machine
Shreyans Pathak

### What's hot(20)

Chapter 01 Basic Principles of Digital Systems
Chapter 01 Basic Principles of Digital Systems

Numerical method (curve fitting)
Numerical method (curve fitting)

scilab
scilab

Linear & Non-Linear Systems |Solved problems|
Linear & Non-Linear Systems |Solved problems|

Transfer function, determination of transfer function in mechanical and elect...
Transfer function, determination of transfer function in mechanical and elect...

Interpolation
Interpolation

Fuzzy Logic and Neural Network
Fuzzy Logic and Neural Network

Modern Control - Lec 02 - Mathematical Modeling of Systems
Modern Control - Lec 02 - Mathematical Modeling of Systems

Control system
Control system

Number system and its conversions
Number system and its conversions

Data Acquisition System
Data Acquisition System

Plc course level 1
Plc course level 1

Registers
Registers

Robotic chapter 2
Robotic chapter 2

Ch2 mathematical modeling of control system
Ch2 mathematical modeling of control system

Artificial Intelligence
Artificial Intelligence

Laplace transformation
Laplace transformation

Intro automata theory
Intro automata theory

Introduction state machine
Introduction state machine

## Viewers also liked

3 Enthalpy
3 Enthalpy
janetra

Tang 01b enthalpy, entropy, and gibb's free energy
Tang 01b enthalpy, entropy, and gibb's free energy
mrtangextrahelp

Entropy
Entropy
Kim Burns

Entropy change during thermodynamic process
Entropy change during thermodynamic process
Preetshah1212

Entropy
Entropy
Pramoda Raj

Lecture 18.4- Free Energy
Lecture 18.4- Free Energy
Mary Beth Smith

Entropy
Chapter 19 Lecture- Thermodynamics
Chapter 19 Lecture- Thermodynamics
Mary Beth Smith

Enthalpy
Entropy
Entropy Presentation
Entropy Presentation
aptekmand

10.3 - Entropy and the 2nd law
10.3 - Entropy and the 2nd law
simonandisa

Chem 2 - Gibbs Free Energy and Spontaneous Reactions VI
Chem 2 - Gibbs Free Energy and Spontaneous Reactions VI
Lumen Learning

### Viewers also liked(13)

3 Enthalpy
3 Enthalpy

Tang 01b enthalpy, entropy, and gibb's free energy
Tang 01b enthalpy, entropy, and gibb's free energy

Entropy
Entropy

Entropy change during thermodynamic process
Entropy change during thermodynamic process

Entropy
Entropy

Lecture 18.4- Free Energy
Lecture 18.4- Free Energy

Entropy
Entropy

Chapter 19 Lecture- Thermodynamics
Chapter 19 Lecture- Thermodynamics

Enthalpy
Enthalpy

Entropy
Entropy

Entropy Presentation
Entropy Presentation

10.3 - Entropy and the 2nd law
10.3 - Entropy and the 2nd law

Chem 2 - Gibbs Free Energy and Spontaneous Reactions VI
Chem 2 - Gibbs Free Energy and Spontaneous Reactions VI

## Similar to Information entropy

Five Ways to Get Better Data From Our Users
Five Ways to Get Better Data From Our Users
Sajid Reshamwala

Complexity, Collaboration and Unconferencing
Complexity, Collaboration and Unconferencing
Geoff Brown

Geelong College Presentation
Geelong College Presentation
Geoff Brown

Hack the Mind: Using Psychology to Boost Your Fundraising
Hack the Mind: Using Psychology to Boost Your Fundraising
Bloomerang

How organizations acts like Slime when growing
How organizations acts like Slime when growing
Goffer75

Printable Lined Writing Paper - Printable Blank World
Printable Lined Writing Paper - Printable Blank World
Andrea Arias

Connected But Alone
Connected But Alone
Rodd Lucier

Gidi Heynens

Culture hacking: a fast, simple (if not easy) way to move to an agile culture
Culture hacking: a fast, simple (if not easy) way to move to an agile culture
onefishcomms

Text Evidence Sentence Starters
Text Evidence Sentence Starters
Katie Harris

Training material- Teamwork- Team Effectiveness.ppt
Training material- Teamwork- Team Effectiveness.ppt
Brothers61

Culture hacking: a fast, simple (if not easy) way to move to an agile culture
Culture hacking: a fast, simple (if not easy) way to move to an agile culture
Carrie Bedingfield

Gidi Heynens

006 Essay Example How To Write Col. Online assignment writing service.
006 Essay Example How To Write Col. Online assignment writing service.
Gina Alfaro

How To Create A Good Hook For A Persuasive Essay
How To Create A Good Hook For A Persuasive Essay
Crystal Hall

2015 Arts Midwest Workshop: Embracing the Digital Age
2015 Arts Midwest Workshop: Embracing the Digital Age
The Metropolitan Museum of Art

Best Memory Essay. The Role Of Memorable Memori
Best Memory Essay. The Role Of Memorable Memori
Misty Harris

What every teacher should know about cognitive research
What every teacher should know about cognitive research
Stephanie Chasteen

How To Make A Good Concluding Sentence For An Essay
How To Make A Good Concluding Sentence For An Essay
Victoria Coleman

How To Write A Rhetorical Analysis Essay
How To Write A Rhetorical Analysis Essay
Pamela Brown

### Similar to Information entropy(20)

Five Ways to Get Better Data From Our Users
Five Ways to Get Better Data From Our Users

Complexity, Collaboration and Unconferencing
Complexity, Collaboration and Unconferencing

Geelong College Presentation
Geelong College Presentation

Hack the Mind: Using Psychology to Boost Your Fundraising
Hack the Mind: Using Psychology to Boost Your Fundraising

How organizations acts like Slime when growing
How organizations acts like Slime when growing

Printable Lined Writing Paper - Printable Blank World
Printable Lined Writing Paper - Printable Blank World

Connected But Alone
Connected But Alone

Culture hacking: a fast, simple (if not easy) way to move to an agile culture
Culture hacking: a fast, simple (if not easy) way to move to an agile culture

Text Evidence Sentence Starters
Text Evidence Sentence Starters

Training material- Teamwork- Team Effectiveness.ppt
Training material- Teamwork- Team Effectiveness.ppt

Culture hacking: a fast, simple (if not easy) way to move to an agile culture
Culture hacking: a fast, simple (if not easy) way to move to an agile culture

006 Essay Example How To Write Col. Online assignment writing service.
006 Essay Example How To Write Col. Online assignment writing service.

How To Create A Good Hook For A Persuasive Essay
How To Create A Good Hook For A Persuasive Essay

2015 Arts Midwest Workshop: Embracing the Digital Age
2015 Arts Midwest Workshop: Embracing the Digital Age

Best Memory Essay. The Role Of Memorable Memori
Best Memory Essay. The Role Of Memorable Memori

What every teacher should know about cognitive research
What every teacher should know about cognitive research

How To Make A Good Concluding Sentence For An Essay
How To Make A Good Concluding Sentence For An Essay

How To Write A Rhetorical Analysis Essay
How To Write A Rhetorical Analysis Essay

Recommendation System using RAG Architecture
Recommendation System using RAG Architecture
fredae14

Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
MichaelKnudsen27

Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz

Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng

Azure API Management to expose backend services securely
Azure API Management to expose backend services securely
Dinusha Kumarasiri

TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc

5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr

Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301

Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances

Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
flufftailshop

Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd

Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda

dbms calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
Shinana2

Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz

Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan

Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
saastr

Recommendation System using RAG Architecture
Recommendation System using RAG Architecture

Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx

Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar

Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation

Azure API Management to expose backend services securely
Azure API Management to expose backend services securely

TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey

5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf

Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances

Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf

Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany

Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

dbms calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf

Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus

Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...

### Information entropy

• 1. INFORMATION ENTROPY By Oliver Reichenstein, iA Inc.
• 17.
• 18. 52 Trillion in 1\$ Bills
• 22. 99.99% in the trash.
• 26.
• 27.
• 28.
• 29.
• 30.
• 31.
• 32.
• 33.
• 34. The Web has become like TV.
• 37. It is too much mostly Advert iseme nt.
• 38. WHY?
• 39. “When you're young, you look at television and think, There's a conspiracy. The networks have conspired to dumb us down. But when you get a little older, you realize that's not true. The networks are in business to give people exactly what they want. That's a far more depressing thought. Conspiracy is optimistic! … We can have a revolution! But the networks are really in business to give people what they want. It's the truth.” —Steve Jobs
• 40. The medium is a mirror. Because humans are messy, everything will get even messier.
• 41. :(
• 42. “Language allows information to accumulate more and more rapidly as time passes. Due to language I can receive signals from Confucius, Heraclitus, Plato, et cetera, et cetera. Now the acceleration of information has reached a point where I think it’s totally out of control and nobody can stop it.” — Robert Anton Wilson
• 43. We are doing with our mind what we have successfully done to our environment. We are making a mess.
• 44.
• 45.
• 47. 1. A measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system's disorder... Broadly: the degree of disorder or uncertainty in a system 2a :  the degradation of the matter and energy in the universe to an ultimate state of inert uniformity 2b :  a process of degradation or running down or a trend to disorder 3:  chaos, disorganization, randomness
• 48. 1. A measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system's disorder... Broadly: the degree of disorder or uncertainty in a system 2a. The degradation of the matter and energy in the universe to an ultimate state of inert uniformity 2b :  a process of degradation or running down or a trend to disorder 3:  chaos, disorganization, randomness
• 49. 1. A measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system's disorder... Broadly: the degree of disorder or uncertainty in a system 2a. The degradation of the matter and energy in the universe to an ultimate state of inert uniformity 2b. A process of degradation or running down or a trend to disorder 3:  chaos, disorganization, randomness
• 50. 1. A measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system's disorder... Broadly: the degree of disorder or uncertainty in a system 2a. The degradation of the matter and energy in the universe to an ultimate state of inert uniformity 2b. A process of degradation or running down or a trend to disorder 3. Chaos, disorganization, randomness
• 51.
• 52.
• 54. “Iteration scales collaboration: Lots of people making small changes. Just as inaccuracy scales knowledge: Knowledge can't get huge unless it's allowed to be wrong sometimes... and just as messiness scales meaning.” —David Weinberger
• 55. Messiness scales meaning? How so? Automatically? Because it’s… all… like… you know… awesome?
• 56. WHAT DO WE KNOW FOR SURE?
• 57. “From a scientific point of view, optimism and pessimism are objectionable: optimism assumes, or tempts to prove, that the universe exists to please us, and pessimism that it exists to displease us. Scientifically, there is no evidence that it is concerned with us either one or the other way.” —Bertrand Russell
• 58.
• 59.
• 60.
• 61.
• 62. We are good at cleaning up, but making a mess and ignoring it, this is what we are really good at. And in both cases technology works as an amplifier.
• 63. Is it pessimistic to assume that what analog technology has done to our environment, information technology is doing to our minds?
• 65. “…commodification [of personal data] is not happening against the wishes of ordinary citizens but because this is what ordinary citizen-consumer want. Look no further than Google’s email and Amazon’s Kindle to see that no one is forced to use them: people do it willingly.” –Evgeny Morozov (yes, that [negative] guy)
• 66. CAN WE DESIGN OR PROGRAM THIS AWAY?
• 67. 1. Reduction creates essence. (We can do a better job at focussing on essence.)
• 68. 2. Silence and pauses give structure. (Meaning needs Pauses. Thought needs room. We can improve our own diet.)
• 69. 3. Details clear things up. (And they show that you care as a human being for another human being.)
• 70. 4. Conscious repetition is fun. (Redundancy makes a message memorable, identifiable and solid. Kids love repetition. Repetition is fun. Repetition is funny. “New” is overrated.)
• 71. 5. Negativity motivates. (Don’t be negative? Branding negativity as evil and unwise is utter ideological nonsense. Negativity is as evil as the color black, it is as unwise as the word “No”. There is nothing wrong with negativity. Negativity has its place in communication and so does positivity. Ultimately, negativity can be a much stronger motivator than positivity. If you censor negativity, how do you grow? To grow, you better embrace negativity. What you should do, is trying to avoid all optimism and pessimism. That’ll help you seeing reality for what it is and not for what you wish it to be.)
• 72. 6. Slowness is powerful. (There is no need to increase overall user engagement, we engage enough. It’d be nice to start shaping technology so it slows us down a little.)
• 74. OK, NOW ENOGH WITH THE NEGATIVITY AND THE REPETITION AND THE SLOWNESS. GIVE US SOMETHING… NEW!
• 75. Design is a process. Writing is a process. Business is a process. (Improving the quality not a matter of good intentions. It’s how you do it. It’s a matter of process.)
• 76. If the process sucks, the result sucks. (There is no killer method to solve all problems. Problem solving is a process. Always focus on the process, if you’r unhappy with the result.)
• 77. Design Processes. Editorial Processes. Business Processes. (Improve your team’s performance? Maybe invest into improving the internal communication before you raise salaries, hire more staff and move into an even cooler office? Improve the financial industry? Well maybe you should look at how they communicate with each other, how they read and write, how they communicate internally before you you try to fix their results.)
• 78. Look at internal information processes before you paint a nice picture of a corporation on the outside. (One can feel that the NYT has a broken Content Management System, that they use Word to write and edit texts, that they send those word document back and forth. One can feel it not only on their home page, one can feel it in the article.)
• 79. Your information architecture is your brand architecture. To improve it:
• 80. 1. Reduction creates essence. 2. Silence and pauses give structure. 3. Details clear things up. 4. Conscious repetition is fun. 5. Negativity motivates. 6. Slowness is powerful. 7. Focus on process (not on pretty pics).
Current LanguageEnglish
Español
Portugues
Français
Deutsche