Cours en ligne : Test d’hypothèse à deux échantillons (Online Training and Internship: Two Sample Hypothesis Testing)

Salutations de l'Institut Utkarsh Minds.

Nous sommes heureux d'annoncer que l'Institut Utkarsh Minds organise un programme de stage de deux mois sur Python pour le test d'hypothèses statistiques.

🎯 Dates : du 1er juillet au 31 août 2024

🎯 Intervenants : Experts du monde académique et de l'industrie

🎯 Les participants intéressés sont invités à s'inscrire. Lien d'inscription : https://internships.utkarshminds.com/

🎯 Frais d'inscription : seulement Rs. 99/-

🎯 Date limite d'inscription : 25 juin 2024

🎯 Comité d'organisation :

Pranav Nerurkar pranav.nerurkar@utkarshminds.com +91 9619997797

Nous attendons avec impatience votre participation active.

Cordialement,

Institut Utkarsh Minds

Stage en ligne : Test d'hypothèse à deux échantillons

Description :

Rejoignez notre programme de stage en ligne complet axé sur le test d'hypothèse à deux échantillons, conçu pour les étudiants désireux de se plonger dans le monde de l'analyse statistique et de la programmation. Ce stage offre un mélange unique d'apprentissage théorique et d'application pratique, fournissant aux participants une compréhension solide du test d'hypothèse à l'aide de données réelles.

Principales caractéristiques :

  1. Cours vidéo interactifs :

    • Apprenez les fondamentaux du test d'hypothèse à deux échantillons grâce à des cours vidéo captivants et informatifs.
    • Comprenez les concepts clés tels que les hypothèses nulle et alternative, les tests t, les tests z, les valeurs p et les intervalles de confiance.
  2. Travaux pratiques de codage :

    • Appliquez les connaissances théoriques acquises lors des cours en réalisant des travaux pratiques de codage dans des langages tels que Python ou R.
    • Travaillez sur des jeux de données réels pour vous exercer à formuler des hypothèses, à effectuer des tests statistiques et à interpréter les résultats.
    • Bénéficiez de conseils pas à pas pour écrire et déboguer le code afin d'assurer une analyse précise et efficace.
  3. Applications pratiques :

    • Explorez diverses études de cas et exemples illustrant l'application du test d'hypothèse à deux échantillons dans différents domaines tels que la santé, la finance, le marketing, et plus encore.
    • Participez à des projets imitant des scénarios réels où le test d'hypothèse est crucial pour la prise de décision.
  4. Mentorat et soutien :

    • Recevez un mentorat de la part de statisticiens et de data scientists expérimentés.
    • Participez à des sessions de questions-réponses et à des forums de discussion pour clarifier vos doutes et enrichir votre expérience d'apprentissage.
  5. Certification :

    • Obtenez un certificat à l'issue de ce stage, attestant de vos compétences et connaissances en test d'hypothèse à deux échantillons.
    • Ajoutez cette précieuse compétence à votre CV ou à votre profil LinkedIn pour renforcer vos perspectives de carrière.

Exigences :

  • Compréhension de base des statistiques et de la programmation.
  • Un ordinateur avec accès à internet.
  • Volonté d'apprendre et d'appliquer de nouveaux concepts.

Durée :

  • Le stage est auto-rythmé et peut être complété en 4 à 6 semaines, en fonction de votre emploi du temps et de votre rythme d'apprentissage.

Greetings from Utkarsh Minds Institute!

Thank you for showing interest in our Two-Month Internship Program on “Python for Statistical Hypothesis Testing.” We noticed that you have signed up but have not yet completed your enrollment. We are excited about the opportunity to help you enhance your skills in this critical area and want to ensure you don't miss out on this valuable experience.

🎯 Program Dates: 1st July to 31st August 2024

🎯 Resource Persons: Experts from Academia and Industry

🎯 Registration Fees: Rs. 99/- only

To complete your enrollment, please visit the following link and finalize your registration: https://internships.utkarshminds.com/

Why Should You Enroll?

  • Comprehensive Curriculum: Learn practical and theoretical aspects of Python for statistical hypothesis testing.
  • Expert Guidance: Get trained by professionals with extensive experience in the field.
  • Affordable Fees: Gain valuable skills for just Rs. 99.
  • Career Advancement: Enhance your resume and improve your job prospects.

The last date for registration is 25th June 2024. Don't miss this chance to advance your skills and career prospects. If you have any questions or need assistance with the registration process, please feel free to reach out to us.

Contact Details: Pranav Nerurkar
Email: pranav.nerurkar@utkarshminds.com
Phone: +919619997797

Online Internship: Two Sample Hypothesis Testing

Description:

Join our comprehensive online internship program focusing on Two Sample Hypothesis Testing, designed for students eager to delve into the world of statistical analysis and coding. This internship offers a unique blend of theoretical learning and practical application, providing participants with a robust understanding of hypothesis testing using real-world data.

Key Features:

  1. Interactive Video Lectures:

    • Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures.
    • Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals.
  2. Hands-On Coding Assignments:

    • Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R.
    • Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results.
    • Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis.
  3. Practical Applications:

    • Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more.
    • Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making.
  4. Mentorship and Support:

    • Receive mentorship from experienced statisticians and data scientists.
    • Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience.
  5. Certification:

    • Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing.
    • Add this valuable credential to your resume or LinkedIn profile to boost your career prospects.

Requirements:

  • Basic understanding of statistics and programming.
  • A computer with internet access.
  • Willingness to learn and apply new concepts.

Duration:

  • The internship is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning.

Pranav A. NERURKAR

Specialist – AI & Data science
UTKARSH MINDS

+91 961-999-77-97

pranav.nerurkaramandine.deplantes@igonogo.io” style=”color:rgb(17,85,204)” target=”_blank”>@utkarshminds.com

www.utkarshminds.com

Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai – 400066

IEEE NorCAS 2024 Special Sessions and Tutorials deadline extended

The deadline for tutorial and special session proposals has been extended, see below.

 

The 2024 IEEE Nordic Circuits and Systems Conference (NorCAS) will take place in

Lund, Sweden on October 29-30, 2024. The conference will be co-sponsored

by the IEEE Circuits and Systems Society and Tampere University. The submission system

is now open and the submission deadline in on August 15, 2024. See the attached CFP.

 

Special Sessions for NorCAS 2024 can be proposed by June 15, 2024 by June 19, 2024 (extended)

by email to norcas@tuni.fi. They will be added to the paper submission system once approved

by the conference management. It is then the responsibility of the session organizers to

promote their session.

 

To propose a Special Session, send the proposed session title/topic, organizer(s) name,

affiliation and email, a short paragraph on the rationale of the session, and the names

and email addresses of five proposed (PhD level) reviewers for the papers submitted to

the session. We expect at least one of the organizers to participate in the conference to

chair the session if accepted.

 

Special Session papers will undergo similar reviews as any other papers submitted to the

conference, and presented papers will be submitted for inclusion in the IEEE Xplore database.

 

We also take proposals for half-day tutorials (at 13-17 on Monday October 28, net time about 3h),

on timely digital, analog/mixed-signal, communications, or System-on-Chip topics. The deadline is

the same as for special sessions. Please describe the title, rationale and content briefly, and provide

a short biography of the tutorial instructor(s).

 

For more details on IEEE NorCAS 2024, see https://events.tuni.fi/norcas2024

 

Regards,

 

Jari Nurmi (TAU)

IEEE NorCAS General Chair

 

IEEE LCN’24 Special Tracks

=========================================================================
Call for Special Tracks
Special Tracks of the 49th IEEE Conference on Local Computer Networks
(IEEE LCN 2024)
=========================================================================

Caen, Normandy, France, October 8-10, 2024 http://www.ieeelcn.org

# Submission deadline: June 15, 2024 (FIRM)

# Scope
The IEEE LCN 2024 conference will have several Special Tracks that
comprise a set of papers focused on specific topics. All special track
papers will conform to the LCN Conference requirements and will be
included in the conference proceedings.

Accepted papers of the special track will be part of the IEEE LCN
proceedings and IEEE Xplore. All published papers must include title,
complete contact information for all authors, abstract, and keywords on
the cover page. IEEE reserves the right to remove papers from IEEE
Xplore that are not presented at the conference. Please visit the links
below to get additional information about the special tracks.

# LCN Special Tracks:

6GQ: IEEE LCN 2024 Special Track on Postquantum Cryptography and Quantum
Communication for 6G Networks
Website: https://sites.google.com/view/6gq2024/home
Submission: https://edas.info/N32348

ASDRoNet: 1st IEEE LCN Special Track on Algorithmic Solutions for Drone-
and Robot-based Networks (ASDRoNet) 2024
Website: https://asdronet2024.github.io
Submission: https://edas.info/N32354

MarCaS: 2nd IEEE LCN Special Track on Maritime Communication and
Security (MarCaS)
Website: https://www.garykessler.net/lcn_marcas/index.html
Submission: https://edas.info/N32137

DRIN: IEEE LCN Special Track on DevSecOps in Resource-Constrained IoT
Networks
Website: https://tinypart.github.io/IEEE-LCN-2024-Special-Track-DRIN/
Submission: https://edas.info/N32401

Best Regards

VISART VII “Where Computer Vision Meets Art”

VISART VII “Where Computer Vision Meets Art”
http://visarts.eu

****************************************************************

7th Workshop on Computer VISion for ART Analysis
In conjunction with the 2024 European Conference on Computer Vision (ECCV),
MiCo Milano, Milano, Italy

****************************************************************

IMPORTANT DATES
Full & Extended Abstract Paper Submission: July 3rd 2024
Notification of Acceptance: August 12th 2024
Workshop: September 29th/30th 2024
Camera-Ready Paper Due: August 22nd 2024

****************************************************************

Following the success of the previous editions of the Workshop on Computer VISion for ART Analysis held in 2012, `14, `16, `18, `20, `22, we present VISART VII. VISART will continue its role as a forum for the presentation, discussion, and publication of Computer Vision (CV) techniques for the understanding of art. The explosion in the generative art, digitization of artworks, and digitally-born art highlights the importance of application in the overlap between CV and art; such as ways to reason, connecting language, structuring data (i.e. databases) for Art to Cultural Heritage.

As with the prior edition, VISART VII offers two tracks:

1. Computer Vision for Art – technical work (standard ECCV submission, 14 page excluding references, appearing in proceedings)
2. Uses and Reflection of Computer Vision for Art (Extended abstract, 4 page, excluding references, NOT appearing in proceedings)

New in this edition of the VISART Workshop we introduce a panel session with renowned experts from Computer Vision and Digital Humanities.

The recent explosion in the digitisation of artworks highlights the concrete importance of application in the overlap between CV and art; such as the automatic indexing of databases of paintings and drawings, or automatic tools for the analysis of cultural heritage. Such an encounter, however, also opens the door both to a wider computational understanding of the image beyond photo-geometry, and to a deeper critical engagement with how images are mediated, understood or produced by CV techniques in the `Age of Image-Machines' (T. J. Clark). Submissions to our first track should primarily consist of technical papers, our second track, therefore encourages critical essays or extended abstracts from art historians, artists, cultural historians, media theorists and computer scientists.

The purpose of this workshop is to bring together leading researchers in the fields of computer vision and the digital humanities with art and cultural historians and artists, to promote interdisciplinary collaborations, and to expose the hybrid community to cutting-edge techniques and open problems on both sides of this fascinating area of study.

This workshop in conjunction with ECCV 2024, calls for high-quality, previously unpublished, works related to Computer Vision and Cultural History. Submissions for both tracks should conform to the ECCV 2024 proceedings style and will be double-blind peer-reviewed by at least three reviewers. However, extended abstracts will not appear in the conference proceedings. Papers must be submitted online through the CMT submission system at: https://cmt3.research.microsoft.com/VISARTVII2024

TOPICS include but are not limited to:

– Art History and Computer Vision
– Image and visual representation in art and visual culture
– 3D reconstruction from visual art or historical sites
– Approaches for generative art
– 2D and 3D human pose and gesture estimation in art
– Multi-modal multimedia systems and human-machine interaction
– Multimedia databases and digital libraries for artistic research
– Visual Question & Answering (VQA) or Captioning for Art
– Interactive 3D media and immersive AR/VR for cultural heritage
– Computer Vision for cultural heritage
– Big-data analysis of art Media content analysis and search
– Media content analysis and search

ORGANIZERS:

Amanda Wasielewski, Uppsala University
Nanne van Noord, University of Amsterdam
Noa Garcia, Osaka University
Peter Bell, University of Marburg
Stuart James, Durham University & UCL DH

The Fourth Intelligent Cybersecurity Conference, 17–20 September, 2024 | Valencia, Spain.

The Fourth Intelligent Cybersecurity Conference (ICSC2024)

Hybrid Event

https://www.icsc-conference.org/2024/

17–20 September, 2024 | Valencia, Spain.

Technically Co-Sponsored by IEEE Spain Section

ICSC 2024 CFP:

In today’s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others.

The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to:

  • Intelligent systems for effective detection of cyber-attacks
  • Advanced Intelligent systems and data analytics for Cloud/Edge systems security
  • Malware detection using intelligent systems Vulnerability assessment
  • Intelligent systems for intrusion detection in Internet of Things (IoT) systems
  • Network forensics using intelligent systems and data analytics
  • Data Analytics for privacy-by-design in smart health
  • Datasets, benchmarks, and open-source packages
  • Recourse efficient deep learning
  • Adversarial Machine learning and Backdoor Attacks
  • Blockchain Systems for Cyber Security
  • Trustworthy AI Systems
  • Intelligent Systems for Misinformation Detection

  Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages.

Important Dates:

  • Paper submission deadline: June 15, 2024 (Extended)
  • Notification of acceptance: July  25, 2024
  • Camera-ready Submission: August 5, 2024

 

Contact:

Please send any inquiry on ICSC to: info@iccns-conference.org

 

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