Ali (Abdelmoniem) Ahmed

Business Process Data Analyst - From Excel to ML and Optimization. #DecisionScience

[Cassie Kozyrkov @decisionleader]

AI sees what you did, not why you did it.

It captures patterns in behavior, not the intent behind decisions. When organizations treat data exhaust as meaning, responsibility slips away.

Patterns are useful.
Purpose still belongs to humans.

We’ll talk about this in the latest cohort of Decision-Making with ChatGPT. Live Q&A is from 8 AM to 10 AM ET on Monday, June 8th. Don’t miss it!

https://t.co/NfNCk2FBOS

#DecisionIntelligence #AILeadership #AppliedAI #RiskManagement

[Ali (Abdelmoniem) Ahmed @aaahmed86]

@hthieblot Yahoo Games

[Ali (Abdelmoniem) Ahmed @aaahmed86]

@hthieblot ICQ

[CopyRebeldia @CopyRebeldia]

La biología en PDF acaba de morir.

Un tío hizo una app donde exploras estructuras 3D como un videojuego.

UI: GPT Images 2. Código: Gemini 3.1 Pro.

Los libros de texto ya no sirven.

[Ali (Abdelmoniem) Ahmed @aaahmed86]

@HSBC_EG Is it true you going to shut down in Egypt?

[Ali (Abdelmoniem) Ahmed @aaahmed86]

Humanoid robot wins Beijing half-marathon, defeating the human world record https://t.co/oMlhuRHldW

[Chip Huyen @chipro]

It’s done! 150,000 words, 200+ illustrations, 250 footnotes, and over 1200 reference links.

My editor just told me the manuscript has been sent to the printers.

- The ebook will be coming out later this week.
- Paperback copies should be available in a few weeks (hopefully before the end of the year). Preorder: https://t.co/kZVAEDQcMo
- The full manuscript is also accessible on O'Reilly platform: https://t.co/P7GkBTKH7H

This wouldn’t have been possible without the help of so many people who reviewed the early drafts, answered my thousands of questions, introduced me to fascinating use cases, or helped me see the beauty of overlooked techniques.

Thank you everyone for making this happen!

[Xinlei Chen @endernewton]

I am looking for an intern to do research together next summer.

Possible topics: representation learning, network architecture, and in general understanding what's going on :P.

Please apply (https://t.co/HZhNkKUKXq) and email me ([email protected]) if interested.

[Economist Enterprise @econ_enterprise]

As AI adoption grows, the question for investors is: How will the industry evolve? Will AI technology developers continue delivering most of the value, or will businesses using AI see greater returns? https://t.co/xidySjcRAG
Supported by @Adq_Official

[Ali (Abdelmoniem) Ahmed @aaahmed86]

https://t.co/oipAve7hHP

[CIFAR @CIFAR_News]

We are holding a symposium with @snsf_ch for Canadian and Swiss early career researchers interested in pursuing radically interdisciplinary conversations and seeding new international collaborations that push the limits of knowledge.

Learn more: https://t.co/NZ8NANiWgx

[Alex Hernandez-Garcia @alexhdezgcia]

I'll be hiring PhD and MSc students for Fall 2025 to do research on machine learning for science (details in 🧵)

I especially encourage applicants from under-represented groups and regions in conflict (Palestine, Ukraine, Sudan, Myanmar...)

See 🧵 for how to apply.

[Ali (Abdelmoniem) Ahmed @aaahmed86]

Installation of CPLEX Studio - Optimization in Python with CPLEX (Part 1) https://t.co/RE91W3vjxQ via @YouTube

[Ezekiel @ezekiel_aleke]

Complete SQL cheatsheet:

[tut_ml @tut_ml]

Best ML Courses- https://t.co/Fj1AsZHVPJ

@KirkDBorne
@antgrasso
@ronald_vanloon
#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #GPT5 #AI #GPT4 #NLP #ML

[ₕₐₘₚₜₒₙ @hamptonism]

Mathematics of an Artificial Neural Network:

[Prof Lennart Nacke, PhD @acagamic]

Turn your 30% proposal acceptance rate into 90% with these 7 key components.

Here’s how to get it off the ground:

• Clear problem statement
• Comprehensive lit review
• Solid methodology
• Realistic timeline
• Resources

Your research could change the world.

[tut_ml @tut_ml]

Data Analysis Courses- https://t.co/rf2FlCWNhj

@KirkDBorne
@antgrasso
@ronald_vanloon
#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #SQL #python #AI #ML

[Faheem Ullah @Faheem_uh]

PhD students — How to read a research paper?

Here is how you can get 10x more out of reading a research paper.

𝟏. 𝐂𝐡𝐞𝐜𝐤 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞: Before diving deep into a paper, skim through the abstract, introduction, and conclusion of the paper to make sure that the paper is relevant. You don't want to spend 2-3 hours ending up with nothing.

𝟐. 𝐖𝐫𝐢𝐭𝐞 𝐬𝐲𝐧𝐨𝐩𝐬𝐢𝐬: If you found the paper to be relevant, write the synopsis of the paper within concrete 3 bullet points - (i) what the authors did (ii) How they did it (iii) What they found. It will establish the broader picture of the paper within your mind. Once you are certain what is it about, you can easily navigate through the paper.

𝟑. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐭𝐡𝐞 𝐩𝐮𝐫𝐩𝐨𝐬𝐞: Why do you want to read this paper? Do you want to understand the research methodology? Are you looking for a new research idea to take from this paper? Be clear about the purpose. It will save your time and help you to focus on the specific part.

𝟒. 𝐑𝐞𝐚𝐝 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥𝐥𝐲: Read the paper critically. This means that once you have read the paper, you should be able to answer - what are the strengths and weaknesses of this paper. This is important so that you get the capability to assess the quality of a research piece.

𝟓. 𝐖𝐫𝐢𝐭𝐞 𝐤𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬: As you go through the paper or after finishing reading, write about points like (i) what are the key takeaways for me from this paper (ii) where I can use these takeaways (iii) what can be done on the top of the existing work (iv) Can something be improved. You don't need to write long stories. All of this you can write within 5-10 min. Knowledge not put in writing evaporates.

𝟔. 𝐒𝐤𝐢𝐦 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬: After finishing the main body, check the references. You may find some very relevant works there too. If such is the case, you can snowball depending upon the time you have for reading.

𝟕. 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬: Look at the diagrams, tables, graphs, and writing style of the paper. Ask yourself whether such style of diagrams or graphs, etc would be good for my paper. If the answer is yes, note it down in your takeaways.

𝟖. 𝐍𝐨𝐭𝐞 𝐞𝐱𝐞𝐦𝐩𝐥𝐚𝐫 𝐩𝐚𝐩𝐞𝐫𝐬: Some papers you read might be very relevant to the paper you want to write next. Note 2-3 such papers and put them in front of yourself while writing your next paper. It will serve as a reference guide for your paper writing.

𝟗. 𝐑𝐞𝐚𝐝 𝐚𝐧𝐲𝐰𝐡𝐞𝐫𝐞: As a researcher, the more you read, the better for you. A paper is not to be read only in the lab or office. Sometimes, you get more out of a paper - reading it while sitting in a park or traveling on a train or bus. Try reading in different places and see what works the best for you.

Anything you'd like to add?

#research #phd

[Scholarship for PhD @ScholarshipfPhd]

Writing a Scientific article: A step-by-step guide for Beginners (1/7)