Data 2 Pattern
СтатистикаData science isn't about the quantity of data but rather the quality. — Joo Ann Lee
- Последний пост
- 22:01
- Последнее чтение
- 12 авг.
- Постов за неделю
- 3
- Всего постов
- 23
- Тип
- открытый
- Язык
- английский
- В каталоге с
- 12 авг.
- 1/24сутки в ленте
- 31
- 1/48двое суток
- 35
- 1/72трое суток
- 38
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🚀 Advance Your Career in Quantitative Finance! Applications for the WorldQuant University (WQU) Master of Science in Financial Engineering (MScFE) program are officially open. Whether you're looking to break into quantitative trading, risk management, data science, or financial analytics, this rigorous, practitioner-focused program covers everything from computational finance to advanced modeling. 📋 Admission & Transcript Requirements: * Bachelor's Degree: A completed undergraduate degree from a recognized institution. * Transcripts: * Application: You can upload a scanned copy of your transcript for your highest earned degree. * Enrollment/Acceptance: Official transcripts sent directly from your former college or university (via email or postal mail) are required upon acceptance (must be submitted by the end of your second course). * Quantitative Proficiency Test: Pass with a score of 75% or higher (covers math, stats, and basic Python). * English Proficiency: Required if your native language is not English or if your prior degree wasn't taught in English (TOEFL, IELTS, Duolingo, or PTE accepted). * Government-Issued Photo ID: Passport, national ID, or driver's license. 💡 Why WQU MScFE? * 100% Tuition-Free: Access high-tier quant education without traditional university overhead. * Flexible & Online: Designed for working professionals to study from anywhere in the world. * Industry-Relevant Curriculum: Master Python, R, stochastic calculus, machine learning, and portfolio optimization. Ready to take the next step in your quant journey? 👉 Apply here: https://www.wqu.edu/mscfe-apply #QuantFinance #FinancialEngineering #MachineLearning #Python #DataScience #CareerGrowth
What I've Been Learning Over the Last Two Days For the past two days, I've been diving into one of the most fascinating topics in backend engineering: how databases physically store and retrieve data. Like many developers, I've spent years writing SQL queries, creating indexes, and building applications on top of databases. But I realized I didn't fully understand what actually happens after executing an INSERT, UPDATE, or SELECT. So, I decided to go deeper. I've been learning about: - How data is stored on disk - B-Trees and LSM Trees - Write-Ahead Logs (WAL) - MemTables and SSTables - Storage engines and indexing - The trade-offs behind different database designs One thing that has made learning much easier is combining reading with visual simulations. Seeing these concepts animated while reading about them has helped me build a much stronger mental model of how databases work internally. Resources I'm using: 📖 Learning resource based on Designing Data-Intensive Applications (DDIA) concepts https://designing-data-intensive-applicatio.vercel.app/ 🎥 Database Storage Explained (visual simulation) https://youtu.be/TIkSh6teQFo I'm not trying to memorize every detail. My goal is to understand the why behind database design decisions so I can become a better backend engineer and system designer. The more I learn, the more I appreciate the incredible engineering behind systems like PostgreSQL, MySQL, RocksDB, Cassandra, and LevelDB. Still learning. Still curious. One concept at a time. I used the book "Designing Data-Intensive Applications" as a resource. ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @data_to_pattern @data_to_pattern ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: #BackendEngineering #Database #SystemDesign #DataEngineering #ComputerScience #DDIA #PostgreSQL #StorageEngine #LearningInPublic
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Free Beginner Machine Learning Full Course for Ethiopians! 🇪🇹 Hello Ethiopian Data Science & Machine Learning Community, We are excited to announce a complete beginner-friendly Machine Learning course designed for anyone who wants to start learning ML from zero. This course is for you if you are: ✅ New to Machine Learning ✅ Interested in Data Science and AI ✅ A student or self-learner ✅ Looking for practical, step-by-step lessons ✅ Want to build real ML projects We will cover: 📌 Python basics for ML 📌 Data cleaning and preprocessing 📌 Supervised and unsupervised learning 📌 Model training and evaluation 📌 Real-world ML projects 📌 How to continue learning AI and Data Science No advanced background is required. We will start from the basics and build everything step by step. Let’s learn together and grow the Ethiopian AI and Data Science community. 🇪🇹🤖 📢 Join us and share this with anyone interested in Machine Learning! also you can find more videos here https://www.youtube.com/@yisakbule please sub it
ASTU Data Science Bootcamp: Announcement of the Zindi Challenge We are pleased to announce the launch of the ASTU Community Financial Inclusion Hackathon as part of our Data Science Bootcamp. Challenge Details and Registration: https://zindi.africa/competitions/astu-community-financial-inclusion-hackathon Access Code: CSEC_ASTU_COMMUNITY_2018 Start Time: The challenge will officially commence on Tuesday morning at 2:00 local time. Eligibility: This event is open to all ASTU community. Participants are required to register for the challenge to secure their participation. Rationale for Participation: * Apply data science skills to real-world financial inclusion challenges. * Acquire hands-on experience with practical datasets. * Compete and collaborate with fellow students. Additional Opportunities: * A pathway to join the CSEC ASTU Data Science Division is available for students selected for the Bootcamp. * Students who were not selected for the Bootcamp but have submitted their final Pre-Bootcamp project may also join the CSEC Data Science Division. Continued commitment to the learning journey is encouraged, as performance in this challenge will be evaluated for consideration. We encourage all members to seize this opportunity to learn, compete, and contribute to impactful initiatives. #DataScience #Hackathon #ASTU #CSEC #BuildingAItogether #CSEC_ASTU #ZINDI
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