Gain valuable insight into project management with a focus on managing IT projects. Acquire an understanding of how creating strategies and designing plans to deliver
IT projects can provide consistent value and increased profits; if you are preparing to take on IT project management responsibilities.
Gain valuable insight into project management with a focus on managing IT projects. Acquire an understanding of how creating strategies and designing plans to deliver IT projects can provide consistent value and increased profits; if you are preparing to take on IT project management responsibilities.
Speaker: Venkatesh Umaashankar
LinkedIn: https://www.linkedin.com/in/venkateshumaashankar/
What will be discussed?
What is Data Science?
Types of data scientists
What makes a Data Science Team? Who are its members?
Why does a DS team need Full Stack Developer?
Who should lead the DS Team
Building a Data Science team in a Startup Vs Enterprise
Case studies on:
Evolution Of Airbnb’s DS Team
How Facebook on-boards DS team and trains them
Apple’s Acqui-hiring Strategy to build DS team
Spotify -‘Center of Excellence’ Model
Who should attend?
Managers
Technical Leaders who want to get started with Data Science
Gain valuable insight into project management with a focus on managing IT projects. Acquire an understanding of how creating strategies and designing plans to deliver
IT projects can provide consistent value and increased profits; if you are preparing to take on IT project management responsibilities.
Gain valuable insight into project management with a focus on managing IT projects. Acquire an understanding of how creating strategies and designing plans to deliver IT projects can provide consistent value and increased profits; if you are preparing to take on IT project management responsibilities.
Speaker: Venkatesh Umaashankar
LinkedIn: https://www.linkedin.com/in/venkateshumaashankar/
What will be discussed?
What is Data Science?
Types of data scientists
What makes a Data Science Team? Who are its members?
Why does a DS team need Full Stack Developer?
Who should lead the DS Team
Building a Data Science team in a Startup Vs Enterprise
Case studies on:
Evolution Of Airbnb’s DS Team
How Facebook on-boards DS team and trains them
Apple’s Acqui-hiring Strategy to build DS team
Spotify -‘Center of Excellence’ Model
Who should attend?
Managers
Technical Leaders who want to get started with Data Science
Mixed Methods Research in the Age of Big Data: A Primer for UX ResearchersUXPA International
What does UX research entail in what some are calling the “Age of Data Science?” Most would agree that some level of collaboration is needed -- Data Science results feeding UX Research and vice versa -- but can this be more meaningful than simply attending each other’s readouts?
In this session, you’ll hear some practical, approachable tips for qualitative UX Researchers to play a larger role in Big Data discussions. Stats expertise not required! These tips will help you break through the lexicon barriers between UX Research and Data Science, and provide a framework for collaboration that can lead to even more impactful research.
UXPA 2016: Mixed Methods Research in the Age of Big DataZachary Sam Zaiss
UX professionals have a long history of blending quantitative and qualitative research to better understand the customer experience. As Data Science has emerged as a discipline (with an increasing amount of hype), it's all too easy to engage only during results time, sharing information but working independently. At UXPA 2016, I made the case for deeper collaboration between UX professionals and Data Scientists during research and analysis time, for the sake of better Design outcomes for all.
مبادرة
#تواصل_تطوير
المحاضرة رقم 188
الاستاذ الدكتور / أكرم حسن
استاذ واستشاري إدارة المشروعات
بعنوان
"مهارات لاغنى عنها لمهندس ٢٠٢٣"
يوم الإثنين 02 يناير 2023
التاسعة مساء توقيت القاهرة
العاشرة مساء توقيت مكة المكرمة
و الحضور عبر تطبيق زووم من خلال الرابط
https://us02web.zoom.us/meeting/register/tZAqf-qrqz0iG9F1L1h81rPO11TLphOF45PQ
علما ان هناك بث مباشر للمحاضرة على القنوات الخاصة بجمعية المهندسين المصريين
ونأمل أن نوفق في تقديم ما ينفع المهندس ومهمة الهندسة في عالمنا العربي
والله الموفق
للتواصل مع إدارة المبادرة عبر قناة التليجرام
https://t.me/EEAKSA
ومتابعة المبادرة والبث المباشر عبر نوافذنا المختلفة
رابط اللينكدان والمكتبة الالكترونية
https://www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط قناة التويتر
https://twitter.com/eeaksa
رابط قناة الفيسبوك
https://www.facebook.com/EEAKSA
رابط قناة اليوتيوب
https://www.youtube.com/user/EEAchannal
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
ملحوظة : توجد شهادات حضور مجانية لمن يسجل فى رابط التقيم اخر المحاضرة.
IIT Jodhpur Postgraduate Diploma in Data Engineering & Cloud Computing.pdfaniketagarwal47
Gain in-depth knowledge, tools and prestigious IIT PG Diploma credential to help you succeed by enrolling to Data Engineering & Cloud Computing Course.
IIT Jodhpur Post Graduate Diploma in Data Engineering & Cloud Computinganiketagarwal47
Data Engineering & Cloud Computing Course - Develop technical skills such as Python programming, storing and processing different types of data and cloud computing concepts by enrolling to Data Engineering & Cloud Computing Course.
Big data is not only transforming the way we make decisions, but also the way that organizations recruit, manage and develop their people, driving engagement, innovation and productivity to new peaks.
Explore the future of cloud-based human capital management, and demonstrate how what you do today will influence and energize your company for decades to come.
Big data is being implemented or on the mind of majority of the enterprises. Though getting into Big data is neither cheap nor a easy task. Having a step-by-step path for this journey based on experience from other implementation play a crucial role in the success of the initiative. This session provide a 7 Steps Big Data Journey for Enterprises based on past successful implementations.
3/8/2020 Originality Report
https://lms.seu.edu.sa/webapps/mdb-sa-BBLEARN/originalityReport/ultra?attemptId=99bb1212-a99e-43ff-859f-ea3203c38169&course_id=_70368_1… 1/6
%83
SafeAssign Originality Report
(Current Semester - الفصل الحالي)ECOM-402: E-supply chain manageme… • Assignment-2
%83Total Score: High riskMariyyah Rihbini
Submission UUID: dcdee591-1103-6e4b-601d-305f670eb5a9
Total Number of Reports
1
Highest Match
83 %
ECOM402-Assignment-2-Mariyyah Rhbini…
Average Match
83 %
Submitted on
02/16/20
02:58 PM GMT+3
Average Word Count
1,816
Highest: ECOM402-Assignment-2-Mariyy…
%83Attachment 1
Institutional database (4)
Student paper Student paper Student paper
Student paper
Top sources (3)
Excluded sources (0)
View Originality Report - Old Design
Word Count: 1,816
ECOM402-Assignment-2-Mariyyah Rhbini s160148624.docx
1 2 3
4
1 Student paper 2 Student paper 3 Student paper
ECOM 402-E-Supply Chain Management
Assignment -2
Course: ECOM 402
Student name:-Mariyyah Rhbini
Academic Year: 1440-41 Students number :160148624
Semester: 2nd Student grade: (out of 5)
Section: 21474 Level of the Mark:
InstructorName: Signature Dr.Gokulkumari Govindasamy
Assignment-2 Assignment Uploading Date: End of Week-9 Submission Date by students: End of WEEK- Week-12 Purpose To assess your understanding regarding the
use of tools as well as digital marketing techniques for an organization of your choice. Action Items 1 Explain the role of cloud computing, traceability, RFID and other
ERP solutions. 2 Discuss the industry response towards the use of ICT and various tools discussed above. 3 To apply critical thinking by the students. 4 Evaluate the
effectiveness of E-Procurement and E-Auction. 5 Also analyze your business and process as per below points: Here students are advised to discuss at least 2 points
mentioned from both the categories (Usability Modeling of ICT and other resources (UM) and Web-enabled Supply Chains (WEB) or as per the requirements. Usability
Modeling of ICT and other resources (UM) a. Finding the optimal solution b. Cost and Schedule Analysis c. Recommending and Implementing the resources Web-
enabled Supply Chains (WEB) a. A Web-enabled Procurement System b. A Web-enabled order tracking system c. Warehouse Management System d. Customer
Relationship Management
Note: 1. Each students will have one Project. 2. Each question should be highlighted separately and mark those question in BOLD, Else marks would be
deducted. 3. Project will be based on the implementation of the e-supply chain and logistics in real world. 4. Project will require summarizing,
demonstrating, and the use and potential values of Cloud Computing, ERP and others ICT for an organization. 5. The word count for this assignment must be
between 1200 – 1500 words. 6. The Due date for the this assignment is Week-13. 7. Students should submit the combined assignment in a hard copy to
their instructors. 8. Also follow the instructions given b.
Mixed Methods Research in the Age of Big Data: A Primer for UX ResearchersUXPA International
What does UX research entail in what some are calling the “Age of Data Science?” Most would agree that some level of collaboration is needed -- Data Science results feeding UX Research and vice versa -- but can this be more meaningful than simply attending each other’s readouts?
In this session, you’ll hear some practical, approachable tips for qualitative UX Researchers to play a larger role in Big Data discussions. Stats expertise not required! These tips will help you break through the lexicon barriers between UX Research and Data Science, and provide a framework for collaboration that can lead to even more impactful research.
UXPA 2016: Mixed Methods Research in the Age of Big DataZachary Sam Zaiss
UX professionals have a long history of blending quantitative and qualitative research to better understand the customer experience. As Data Science has emerged as a discipline (with an increasing amount of hype), it's all too easy to engage only during results time, sharing information but working independently. At UXPA 2016, I made the case for deeper collaboration between UX professionals and Data Scientists during research and analysis time, for the sake of better Design outcomes for all.
مبادرة
#تواصل_تطوير
المحاضرة رقم 188
الاستاذ الدكتور / أكرم حسن
استاذ واستشاري إدارة المشروعات
بعنوان
"مهارات لاغنى عنها لمهندس ٢٠٢٣"
يوم الإثنين 02 يناير 2023
التاسعة مساء توقيت القاهرة
العاشرة مساء توقيت مكة المكرمة
و الحضور عبر تطبيق زووم من خلال الرابط
https://us02web.zoom.us/meeting/register/tZAqf-qrqz0iG9F1L1h81rPO11TLphOF45PQ
علما ان هناك بث مباشر للمحاضرة على القنوات الخاصة بجمعية المهندسين المصريين
ونأمل أن نوفق في تقديم ما ينفع المهندس ومهمة الهندسة في عالمنا العربي
والله الموفق
للتواصل مع إدارة المبادرة عبر قناة التليجرام
https://t.me/EEAKSA
ومتابعة المبادرة والبث المباشر عبر نوافذنا المختلفة
رابط اللينكدان والمكتبة الالكترونية
https://www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط قناة التويتر
https://twitter.com/eeaksa
رابط قناة الفيسبوك
https://www.facebook.com/EEAKSA
رابط قناة اليوتيوب
https://www.youtube.com/user/EEAchannal
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
ملحوظة : توجد شهادات حضور مجانية لمن يسجل فى رابط التقيم اخر المحاضرة.
IIT Jodhpur Postgraduate Diploma in Data Engineering & Cloud Computing.pdfaniketagarwal47
Gain in-depth knowledge, tools and prestigious IIT PG Diploma credential to help you succeed by enrolling to Data Engineering & Cloud Computing Course.
IIT Jodhpur Post Graduate Diploma in Data Engineering & Cloud Computinganiketagarwal47
Data Engineering & Cloud Computing Course - Develop technical skills such as Python programming, storing and processing different types of data and cloud computing concepts by enrolling to Data Engineering & Cloud Computing Course.
Big data is not only transforming the way we make decisions, but also the way that organizations recruit, manage and develop their people, driving engagement, innovation and productivity to new peaks.
Explore the future of cloud-based human capital management, and demonstrate how what you do today will influence and energize your company for decades to come.
Big data is being implemented or on the mind of majority of the enterprises. Though getting into Big data is neither cheap nor a easy task. Having a step-by-step path for this journey based on experience from other implementation play a crucial role in the success of the initiative. This session provide a 7 Steps Big Data Journey for Enterprises based on past successful implementations.
3/8/2020 Originality Report
https://lms.seu.edu.sa/webapps/mdb-sa-BBLEARN/originalityReport/ultra?attemptId=99bb1212-a99e-43ff-859f-ea3203c38169&course_id=_70368_1… 1/6
%83
SafeAssign Originality Report
(Current Semester - الفصل الحالي)ECOM-402: E-supply chain manageme… • Assignment-2
%83Total Score: High riskMariyyah Rihbini
Submission UUID: dcdee591-1103-6e4b-601d-305f670eb5a9
Total Number of Reports
1
Highest Match
83 %
ECOM402-Assignment-2-Mariyyah Rhbini…
Average Match
83 %
Submitted on
02/16/20
02:58 PM GMT+3
Average Word Count
1,816
Highest: ECOM402-Assignment-2-Mariyy…
%83Attachment 1
Institutional database (4)
Student paper Student paper Student paper
Student paper
Top sources (3)
Excluded sources (0)
View Originality Report - Old Design
Word Count: 1,816
ECOM402-Assignment-2-Mariyyah Rhbini s160148624.docx
1 2 3
4
1 Student paper 2 Student paper 3 Student paper
ECOM 402-E-Supply Chain Management
Assignment -2
Course: ECOM 402
Student name:-Mariyyah Rhbini
Academic Year: 1440-41 Students number :160148624
Semester: 2nd Student grade: (out of 5)
Section: 21474 Level of the Mark:
InstructorName: Signature Dr.Gokulkumari Govindasamy
Assignment-2 Assignment Uploading Date: End of Week-9 Submission Date by students: End of WEEK- Week-12 Purpose To assess your understanding regarding the
use of tools as well as digital marketing techniques for an organization of your choice. Action Items 1 Explain the role of cloud computing, traceability, RFID and other
ERP solutions. 2 Discuss the industry response towards the use of ICT and various tools discussed above. 3 To apply critical thinking by the students. 4 Evaluate the
effectiveness of E-Procurement and E-Auction. 5 Also analyze your business and process as per below points: Here students are advised to discuss at least 2 points
mentioned from both the categories (Usability Modeling of ICT and other resources (UM) and Web-enabled Supply Chains (WEB) or as per the requirements. Usability
Modeling of ICT and other resources (UM) a. Finding the optimal solution b. Cost and Schedule Analysis c. Recommending and Implementing the resources Web-
enabled Supply Chains (WEB) a. A Web-enabled Procurement System b. A Web-enabled order tracking system c. Warehouse Management System d. Customer
Relationship Management
Note: 1. Each students will have one Project. 2. Each question should be highlighted separately and mark those question in BOLD, Else marks would be
deducted. 3. Project will be based on the implementation of the e-supply chain and logistics in real world. 4. Project will require summarizing,
demonstrating, and the use and potential values of Cloud Computing, ERP and others ICT for an organization. 5. The word count for this assignment must be
between 1200 – 1500 words. 6. The Due date for the this assignment is Week-13. 7. Students should submit the combined assignment in a hard copy to
their instructors. 8. Also follow the instructions given b.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
4. Outline
● What happening now?
● What is interpretability and why do we need it?
● How to interpret (a) model(s)?
● Why cares about it?
● What tools I can use?
● References
● Takeaways
32. Overall, Northpointe’s assessment tool correctly predicts recidivism
61 percent of the time. But blacks are almost twice as likely as whites
to be labeled a higher risk but not actually re-offend. It makes the
opposite mistake among whites: They are much more likely than
blacks to be labeled lower risk but go on to commit other crimes.
https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
59. “Interpretability is the degree to which a
human can
understand the cause of a decision.”
Tim Milner on “Explanation in Artificial Intelligence:
Insights from the Social Sciences”
https://arxiv.org/abs/1706.07269
63. 5 Reasons for Interpretability
Compliance to
legislation
Verify that classifier works as
expected
Interpretability in
science
Learn from the learning
machine
Improve Classifier
85. IML package for R
Features included:
● Feature importance
● Partial dependence plots
● Individual conditional
expectation plots (ICE)
● Accumulated local effects
● Tree surrogate
● LocalModel: Local Interpretable
Model-agnostic Explanations
● Shapley value for explaining
single predictions
https://github.com/christophM/iml
91. Yellowbrick
Python Package
Features included:
● Feature Visualization
● Classification Visualization
● Model Selection Visualization
● Target Visualization
● Text Visualization
https://www.scikit-yb.org/en/latest/
92.
93. Skater Python Package
Feature includes:
● Global Interpretation
○ Feature Importance
○ Partial Dependence Plot
● Local Interpretation
○ LIME
○ Layer-Wise Relevance
Propagation
○ Integrated Gradient
● Hybrid
○ Scalable Bayesian Rule List
○ Tree Surrogateshttps://oracle.github.io/Skater/overview.html
94. ELI5
Python Package
Features included:
● Explainer for model built by
○ Scikit-Learn
○ Keras
○ XGBoost
○ LightGBM
○ CatBoost
○ Sklearn-CRFSuite
● Permutation Importance
● Text Explainer
https://eli5.readthedocs.io/en/latest/
95. Aequitas Python Package for Model
Auditing
Metrics Included:
● Predicted Positive
● Total Predictive Positive
● Predicted Prevalence
● False Discovery Rate
● False Omission Rate
● Visualizationshttp://www.datasciencepublicpolicy.org/projects/aequitas/