The Data Guy

Always Do this when applying to a job post in any place - Greet with nice tone - dont over explain - keep it simple (but dont send one liners either) - don't exaggerate things than necessary - don't make it too long nobody is gonna read it - have a good spacing - have a nice subject line and make sure to match the context of the email or if mentioned in the job post(it have a purpose it serves) - Include relevant links (portfolio, github, linkedin, etc) in the body of the email at the end - Attach your resume as a PDF file(dont attach word files or any other format) - if you put resume link make sure its downloadable, accessible to everyone, dont ask for the email to access it, or anything i will just ignore it and move on to the next application. you are not speciall to make such requests. - Make sure your github activity is visible and good enough if you are applying as a developer role - Check your portfolio website is working fine if you have mentioned it. - Be Professional and use always Real Name, Greet the hiring manager not a personal name unless specified. if somebody else is looking at the application it might not interest them at all. so greet professionally with group greetings like "Dear Hiring Manager" or "To whom it may concern" or "Dear [Company Name] Team" try to read all words from the post its a good exercise 😂

Your energy is too valuable to fight with minds that refuse to open.

@Luna_moonmam

The AirDrop war is about to be over, in the coming Android patch Update: You can now airdrop to and from an iPhone 🐸 Best part no need to install any extra apps on iPhone to do that. Early release has been tested on Google Pixel phones 😲 For any iPhone Users we are coming for you now! https://youtube.com/shorts/X03BWfkFHE8?si=Dj6SfB5T0inLP3h_

This one would would be nice...

This is touches my heart, If anyone wanna help them there is a bank account too and may be share it with us the screenshot to that others can join as well. Account Number: 5299527000438 Bank: Buna Bank Original Post 100 ETB means a lot for her. Am not affiliated or conneted with her, she is just awesome mom being there for her kid

Definitely a must see! For those who are planning to have a startup or product or start your own thing, you must check it out. Its the full story!

Why is the iPhone Glossy design implemented through the android apps too?? New update to telegram feels Weird...

This is really Nice, All the benefits of Colab in VSCode is seriously dope 👌

Google Colab is Coming to VS Code, this is very nice. https://developers.googleblog.com/en/google-colab-is-coming-to-vs-code/

Fun to watch but, really good POV mentioned as well! Hope you guys can learn something from it.

✅ 25 AI & Machine Learning Abbreviations You Should Know 🤖🧠 1️⃣ AI – Artificial Intelligence: The big umbrella for machines mimicking human smarts, from chatbots to self-driving cars. 2️⃣ ML – Machine Learning: AI subset where models learn from data without explicit programming—think predictive analytics. 3️⃣ DL – Deep Learning: ML using multi-layered neural nets for complex tasks like image recognition. 4️⃣ NLP – Natural Language Processing: Handling human language for chatbots or sentiment analysis. 5️⃣ CV – Computer Vision: AI that "sees" and interprets visuals, powering facial recognition. 6️⃣ ANN – Artificial Neural Network: Brain-inspired structures for pattern detection in data. 7️⃣ CNN – Convolutional Neural Network: DL for images/videos, excels at feature extraction like edges in photos. 8️⃣ RNN – Recurrent Neural Network: Handles sequences like time series or text, remembering past inputs. 9️⃣ GAN – Generative Adversarial Network: Two nets competing to create realistic data, like fake images. 🔟 RL – Reinforcement Learning: Agents learn via rewards/punishments, used in games like AlphaGo. 1️⃣1️⃣ SVM – Support Vector Machine: Classification algo drawing hyperplanes to separate data classes. 1️⃣2️⃣ KNN – K-Nearest Neighbors: Simple ML for grouping based on closest data points—lazy learner! 1️⃣3️⃣ PCA – Principal Component Analysis: Dimensionality reduction to simplify datasets without losing info. 1️⃣4️⃣ API – Application Programming Interface: Bridges software, like calling OpenAI's models in your app. 1️⃣5️⃣ GPU – Graphics Processing Unit: Hardware accelerating parallel computations for training big models. 1️⃣6️⃣ TPU – Tensor Processing Unit: Google's custom chips optimized for tensor ops in DL. 1️⃣7️⃣ IoT – Internet of Things: Networked devices collecting data, feeding into AI for smart homes. 1️⃣8️⃣ BERT – Bidirectional Encoder Representations from Transformers: Google's NLP model understanding context both ways. 1️⃣9️⃣ LSTM – Long Short-Term Memory: RNN variant fixing vanishing gradients for long sequences. 2️⃣0️⃣ ASR – Automatic Speech Recognition: Converts voice to text, like Siri or transcription tools. 2️⃣1️⃣ OCR – Optical Character Recognition: Extracts text from images, e.g., scanning docs. 2️⃣2️⃣ Q-Learning – Q-Learning: A model-free RL algorithm estimating action values for optimal decisions. 2️⃣3️⃣ MLP – Multilayer Perceptron: Feedforward ANN with hidden layers for non-linear problems. 2️⃣4️⃣ LLM – Large Language Model: Massive text-trained nets like GPT for generating human-like responses (swapped the repeat API for this essential one!). 2️⃣5️⃣ TF-IDF – Term Frequency-Inverse Document Frequency: Scores word importance in text docs for search/retrieval. @datawithsimon

I am not really a fan of Cursor, but they definitely got the Marketing team 👏

$2.3B🤯

Even the Government is planning to apply Agentic systems in Abu Dhabi...

Agentic Gov Era 🤔

Hode Yabawn Chatgpt Yawetawal ~ YG