Data Science Information Science

L’information comme bien social et l’apport de Machlup

L’information est un ensemble de données traitées afin de leur donner un sens et une signification.  Ces données traitées et mises dans le contexte vont être analysées par la suite, pour les assimiler et les maitriser (connaissance), afin d’aider à la prise de décision.

donc pour résumer : Information = bien collectif = bien social.

Le paradigme du bien social : Bien social est le bien offert aux citoyens sans contre partie.

L’apport de Machlup : qui est un économiste autrichien, fut très influent dans le développement des sciences économiques en contribuant à presque tous ses domaines et en apportant d’importantes clarifications en méthodologie, théorie, et politique.

  Il fournit une classification de cinq types majeurs de connaissance :

  •  La connaissance pratique : centre d’intérêt professionnel, connaissance centrale et instrumentale car elle nous permet de nous débrouiller dans le cadre de notre travail ;
  •  La connaissance intellectuelle : répond à notre curiosité intellectuelle ;
  •  La connaissance de petit bavardage et de passe-temps : curiosité non intellectuelle, pour nos loisirs et notre stimulation émotionnelle ;
  •  La connaissance spirituelle, reliée à nos croyances religieuses ;
  •  La connaissance non désirée, apprise en dehors de notre champ d’intérêt habituel, généralement par accident et que l’on retient sans trop faire d’effort.

 F . Machlup a systématiquement étudié l’apport économique des informations. Il a analysé le poids des secteurs qui utilisaient les informations de façon intense et il les a classées en trois groupes .Le secteur ou les informations sont crées, le secteur ou elles sont diffusées et le secteur des services dépendant  des informations.

L’information suppose la transmission/l’échange ; et cette dernière suppose l’assimilation.

Data Science Data Trends ML / AI Cognitive Computing Development

Maze Learning by Hybrid Brain-Computer

Annimal Robots and cognitive robotics embodied with biological brains represents a new trend of biological and artificial intelligence integration . So it certainly makes us wonder , is hybrid sytems possess a superior learning ability over their purely biological component ? and is there anyway that biological organisms can learn and make decisions if it was altered by enhancing the brain with Machine Rule Learning ? and how applying the aquired rules by machines affects the learning ability of theses hybrid systems ?

In order to unswer all theses questions scientists used ratbots that were designed and constructed as a hybrid brain machine system and they used computers to observe the process . they followed the video inputs from the camera and they controlled on computer the learning algorithms and the
running rule operations in order to guide the rat . The ratbot performed learning tasks autonomously without any humain intervention .

They orgonised a series of training tasks to examine the ratbots learning ability in complex maze , and it took the rat several consecutive trials to learn the correct path .

Click Here to Download The Full Scientific Article .

Data Engineering and Data Warehousing Data Science

Machine learning

Machine learning is a category of algorithm that make the software application more accurate in predicting outcomes without being explicitly programmed .
The basic premise of machine learning is to build algorithms that can receive input data and use statical analysis to predict an output while updating outputs as new data becomes available.

Machine Learning was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks . the good thing about Machine learning is the ability to independently adapt because it learns from the past computations to produce reliable , repeatable decisions and results .

What’s required to create good machine learning systems?

  • Data preparation capabilities.
  • Algorithms – basic and advanced.
  • Automation and iterative processes.
  • Scalability.
  • Ensemble modeling.


TOP 20 Side Hustles to Start Now

You have a laptop ? you have internet ? then why aren’t you already working ?

I’m sure many of you tought at least for once about working online , but they didn’t know what to do and how to start ! well lt me resume all what you can do on internet !

  • Start a blog
  • Graphic design
  • Web developement
  • Podcasting
  • Online courses
  • Write an ebooks
  • Instagram Marketing
  • Online Coaching
  • Amazon reselling
  • Consulting
  • Affiliate Marketing
  • Virtual Assistant
  • Remote Tutor
  • Social Media Manager
  • Landing Page Specialist
  • Travel Consultant
  • Sell on Etsy
  • Fiverr Gigs
  • Photography
  • Drive for uber

TOP 5 Business and Startup Ideas for 2019

We all have goals and expectations for this year ! Some of us are planning to build a familly , others want to finish school , other people want to learn a language …. And some people are planning to make money !

well i was one of those who decided to make money last year , and i did ! and now i’ll share with you some of the ideas that probably you never tought about it .

first idea , if you’re a music fan and you know what people love to hear then the best thing that you can do and save money with is the ‘ virtual reality music festivals ‘ .

Second Idea , Start a social network for kids , it’s easy to make it blow if you know to make kids spend time on your social network .

Third Idea , Waste Management Business . it’s easy to start and easy to make it grow you just need to do your best .

the fourth idea , you can create a browser extention that detects song names from your youtube videos , instgram videos …

the fifth Idea , Start a blog , a youtube Channel and make a good content , let people follow you and get to know you . Try to be creatif to grow fast .

we will talk more about each idea and how to apply it in the next articles …

Like and share 🙂

Data Science Information Behaviour

What is Information Behavior ?

the information behavior refers to the study of how people need , seek , give ,and use information in different contexts, including the workplace and everyday living . it’s also a process that includes multiple stages of question asking and refining, information gathering and evaluating…synthesis and use of information .

Of course you must be asking yourself why would i spend time studying information behaviour ? well , let me tell you that iformation behavior will let you identify different user groups and their information needs ; i mean you’ll get to know how people think and behave in response to information needs , you’ll also have patterns of behavious .

Also , the study of information bahavior will give you the chance to identify the best practices to inform information system design .

Cloud and Distributed Computing

Cloud Computing

Computing as a service over the internet

Computing as a service over the internetWe often hear the word ‘ cloud ‘ wich actually reers to Cloud Computing . Cloud computing is the delivery of on-demand computing resources over the internet on a pay-for-use basis .

  • Elastic resources — Scale up or down quickly and easily to meet demand .
  • Metered service so you only pay for what you use .
  • Self service — All the IT resources you need with self-service access .

Software as a service (SaaS)

Cloud-based applications — or software as a service — run on distant computers “in the cloud” that are owned and operated by others and that connect to users’ computers via the internet and, usually, a web browser.

The benefits of SaaS

  • You can sign up and rapidly start using innovative business apps
  • Apps and data are accessible from any connected computer
  • No data is lost if your computer breaks, as data is in the cloud
  • The service is able to dynamically scale to usage needs

Platform as a service (PaaS)

Platform as a service provides a cloud-based environment with everything required to support the complete lifecycle of building and delivering web-based (cloud) applications — without the cost and complexity of buying and managing the underlying hardware, software, provisioning, and hosting.

The benefits of PaaS

  • Develop applications and get to market faster
  • Deploy new web applications to the cloud in minutes
  • Reduce complexity with middleware as a service

Infrastructure as a service (IaaS)

Infrastructure as a service provides companies with computing resources including servers, networking, storage, and data center space on a pay-per-use basis.

The benefits of IaaS

  • No need to invest in your own hardware
  • Infrastructure scales on demand to support dynamic workloads
  • Flexible, innovative services available on demand

Public cloud

Public clouds are owned and operated by companies that offer rapid access over a public network to affordable computing resources. With public cloud services, users don’t need to purchase hardware, software, or supporting infrastructure, which is owned and managed by providers.

Key aspects of public cloud

  • Innovative SaaS business apps for applications ranging from customer resource management (CRM) to transaction management and data analytics
  • Flexible, scalable IaaS for storage and compute services on a moment’s notice
  • Powerful PaaS for cloud-based application development and deployment environments

Private cloud

A private cloud is infrastructure operated solely for a single organization, whether managed internally or by a third party, and hosted either internally or externally. Private clouds can take advantage of cloud’s efficiencies, while providing more control of resources and steering clear of multi-tenancy.

=> Key aspects of private cloud

  • A self-service interface controls services, allowing IT staff to quickly provision, allocate, and deliver on-demand IT resources
  • Highly automated management of resource pools for everything from compute capability to storage, analytics, and middleware
  • Sophisticated security and governance designed for a company’s specific requirements

Hybrid cloud

A hybrid cloud uses a private cloud foundation combined with the strategic integration and use of public cloud services. The reality is a private cloud can’t exist in isolation from the rest of a company’s IT resources and the public cloud. Most companies with private clouds will evolve to manage workloads across data centers, private clouds, and public clouds – thereby creating hybrid clouds.

Key aspects of hybrid cloud

  • Allows companies to keep the critical applications and sensitive data in a traditional data center environment or private cloud
  • Enables taking advantage of public cloud resources like SaaS, for the latest applications, and IaaS, for elastic virtual resources
  • Facilitates portability of data, apps and services and more choices for deployment models