Bilal Khan

Want to know why most academic writing sucks? It's not the research. It's not the methods. It's not even the topic. It's the words. Most junior academics make these critical mistakes:

In C, due to lack of generic features, we usually need to write multiple functions for different types to determine whether 2 variables are equal or not. Actually we don't need. Let's make a MACRO generic "function" to do the job. !!! NOTE: in C++, the casts here are UBs.

In 2014, if I was analyzing a 33GB file, I would have jumped to writing a MapReduce job. Today, it take's 56s to load a csv file with 292 million rows of hospital price data *and* only 734ms to find the average price paid by patients per ICD code. On my laptop, using DuckDB. 🤯

gowind.github.io/post/simd_algo… Part 2 of SIMD algos: Implementing popcount, with some surprising twists !

The simplest SIMD practice: simd_memcpy() in C. It uses SIMD intrinsics and data types to copy memory 16bytes-by-16bytes, aka 128bits, not byte-by-byte. This is just a practice to have a glance at SIMD, which is a good facility provided by modern CPUs.

How to cite papers in APA citation style

my article is published now 🥳 I covered my llm resources and some tips I learned along the way. I hope this helps those who are afraid to take the first step or are overwhelmed by what resources to study. this is for you ;)

HTML Essentials for Developers⬇️

JavaScript cheat sheet for object manipulation. ⬇️

You've spent months on your research, only to realize you used the wrong method. Ouch. Research methods confuse most people. I see more boring, unappealing, and standard explanations by the day. Because it's challenging to understand them all. It requires many skills. Like: → Data analysis → Critical thinking → Experimental design → Statistical interpretation All part of conducting great research. Yet, many researchers fail at choosing the right method. Here are 5 key branches of research methods: → Quantitative (numbers-based analysis) → Qualitative (exploratory, non-numerical) → Mixed Methods (combining both) → Experimental (testing cause-effect) → Observational (watching without interference) A good researcher must be able to navigate these methods. Qualitative methods are crucial for in-depth understanding. Here's how I would structure a qualitative study: 1. Research question (what you want to explore) 2. Data collection (interviews, observations) 3. Thematic analysis (finding patterns) 4. Interpretation (making sense of findings) 5. Conclusion (addressing the research question) I'd aim for rich, detailed descriptions in my methodology. And for as much depth and context as my data allows. Here are 7 qualitative methods I love: 1. Ethnography 2. Case Study 3. Phenomenology 4. Grounded Theory 5. Content Analysis 6. Action Research 7. Historical Research Good luck with choosing a research method that doesn't fail. It's a challenge. I think my methods could improve as well. Please share your favourite research method in the comments if it helped you publish a paper. It's helpful to many new researchers to get inspiration. What do you think makes or breaks a good research methodology?

Literature Search Databases

Python Functions Cheat Sheet

File Handling in Python Cheat Sheet

71 videos from MIT offering lectures on Neural Networks, Gen Ai, Transformers, CNN’s, & more entirely for free:

DevOps is an ever-evolving field with endless opportunities. Start by mastering Linux & Kubernetes, and complement it with cloud platforms like Azure or AWS. Your dedication to learning and improving will pay off massively in this industry!

How to conduct a standalone literature review: an 8-step guide ⬇️

DevOps Tools - Quick Sheet ⬇️⬇️

𝑳𝒊𝒏𝒖𝒙 𝑭𝒊𝒍𝒆 𝑷𝒆𝒓𝒎𝒊𝒔𝒔𝒊𝒐𝒏𝒔 🔥🔥

ورقه علميه تشرح استخدام الذكاء الاصطناعي في كتابة البحث العلمي👇🏼لسنة ٢٠٢٤ pdf.sciencedirectassets.com/778412/1-s2.0-…

Finding research gaps is the 1st step in your research journey Here's a Litmaps + Zotero workflow to streamline this process ⤵ ----------------------- 𝘚𝘢𝘷𝘦 𝘸𝘪𝘵𝘩 𝘤𝘭𝘪𝘱𝘱𝘦.𝘮𝘦 & 𝘙𝘦𝘱𝘰𝘴𝘵 𝘴𝘰 𝘺𝘰𝘶𝘳 𝘯𝘦𝘵𝘸𝘰𝘳𝘬 𝘤𝘢𝘯 𝘣𝘦𝘯𝘦𝘧𝘪𝘵 𝘵𝘰𝘰 🔗 unroll the thread for detailed workflow ------------------------- 1️⃣ Differentiate Research Questions from Gaps -- Research Question: Broad, well-documented -- Research Gap: Specific, underexplored 2️⃣ Use Citation Networks: -- Collect cited papers and find similarities. -- Identify missed papers as potential research gaps. 3️⃣ Utilize Litmaps -- Import Zotero references into Litmaps (now they can be synched) -- Visualize connections and discover new related articles. -- Spot gaps with disconnected literature. 4️⃣ Monitor Your Research: Enable "Monitor" in Litmaps to stay updated on new publications. 💬 𝐀𝐧𝐲 𝐨𝐭𝐡𝐞𝐫 𝐭𝐢𝐩 𝐲𝐨𝐮'𝐝 𝐚𝐝𝐝 𝐨𝐧 𝐟𝐢𝐧𝐝𝐢𝐧𝐠 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐠𝐚𝐩𝐬? ------------------------------------------------------ @LitmapsApp #aiinresearch #literaturesearch #literaturereview