#Data Learning

Everyone talks about paid apps but honestly… free ones can get you through every subject if you know where to look 👀 here are my go-to apps that I actually use (and yes, they’re 100% free) 👉🏻 save this for later so you don’t forget 🏷️:: #study #studygram #studytips #productivity

Powerful websites you should know (part 198) find almost any ai tools #aitools #productivity #ai

Powerful websites you should know (part 827) thousands of courses in almost any field #study #learn #programming

Amazing websites (part 96) visit uncensored.com the #1 uncensored AI chatbot #websites #aitools

data structures & algorithms #cscareeradvice #softwareengineerjobs #datastructuresandalgorithms

Level up your skills for FREE! 🎯 Complete these 6 courses and earn certificates from Google, Microsoft, IBM & W3Schools without paying a single rupee. Start today and boost your career! #FreeCourses #LearnOnline #SkillUp #CareerGrowth #GoogleAI #MicrosoftAI #PythonDeveloper #DataScience #MachineLearning #CyberSecurity #UpskillForFree #OnlineLearning #Certifications #CareerBoost

I need Followers 🥲 Feeling lost in the jungle of AI tools, frameworks, and APIs for mobile apps? You’re not alone. That’s why I mapped it all out—so you can see exactly how everything fits together: 🔹 Frontend: Flutter, React Native, Swift, Kotlin 🔹 On-Device AI: TensorFlow Lite, Core ML, ML Kit 🔹 Cloud Platforms: AWS, GCP, Firebase, Supabase 🔹 LLM / Generative AI APIs: Gemini, Hugging Face, OpenAI, Vertex AI, Bedrock 🔹 Databases: Firestore, Pinecone, ChromaDB, PostgreSQL 🔹 Agent Frameworks: LangChain, LlamaIndex, GenKit 🔹 APIs: Firebase Functions, FastAPI, Lambda, Amplify, Cloud Run 🔹 Memory / Storage: SQLite, Core Data 🔹 Distribution: App Store, Play Store 💡 Why this matters: Whether you’re just starting with Flutter or scaling a Firebase + AI app, this roadmap shows how the pieces connect: and how to ship smarter apps faster. 👇 Curious if I make a deep dive post on one part of this roadmap, which area should I cover first? Follow @navokitech #softwareengineer #mobileappdevelopment #peoplewhocode #100daysofcode #navoki #careertips #mobiledev #mobiledevelopment #mobileappdevelopment #appdeveloper #careertips #programming #codinglife #thedevlife #programmerlife #programminglife #developerlife #girlswhocode #programmerslife💻 #generativeai #aicreator #learnai #roadmap

#college #website #websitesyouneed #fyp #goviral #3d #2d #simulator

Can You Learn Data Science for FREE? 🔗 Below are the links for Free Data Science Courses: 1. IBM Data Science Course: https://www.edx.org/learn/data-science/ibm-introduction-to-data-science 2. Google Data Science Course: https://developers.google.com/machine-learning/crash-course#course-modules 3. MIT Data Science Course: https://www.edx.org/learn/data-analysis/massachusetts-institute-of-technology-data-analysis-statistical-modeling-and-computation-in-applications #dataScienceCourse #datascience #freecourse #intellipaat

Anddd Number 10 is Bestfreeaiwebsites.com, the biggest library of FREE ai tools updated daily. Whats your favorite one?🫢 #aitools #bestwebsites #tech #digitalmarketing

Tbh after being a Data Scientist for 6 years, I still don’t know some stuff on that 2nd list 😅 Trying to learn ALL of Python at once is so intimidating Don’t put that pressure on yourself. Instead only focus on these must-know concepts, and you can ignore stuff on the “Not Now” list for now. MUST KNOW PYTHON CONCEPTS • Basic syntax: variables, data types, loops • Writing custom functions • Lists, tuples, dictionaries • List comprehensions • String manipulation • Reading and writing files • Try/except error handling • Importing and using libraries • Pandas basics – Series vs DataFrame • Selecting and filtering data • Groupby and aggregations • Merging or joining data • Sorting and ranking data • Handling missing values • Basic plotting – matplotlib • Working with dates – e.g. pd.to_datetime, .dt NOT NOW • Object oriented programming – classes, inheritance • Generators and decorators • Custom context managers • Writing modules or packages • Virtual environments and dependency management • Multiprocessing or multithreading • Async programming • Advanced pandas tuning – eval, query • Unit testing and CI/CD • Custom exception classes • Functional programming tricks – map, reduce, lambdas everywhere • Building web APIs – Flask, FastAPI #python #datascience #datascientist #datascienceinterview

I built a local, private, uncensored distributed #AI cluster using four #RaspberryPi CM5 Lite modules with 16 GB each. They are mounted on a #Sipeed #NanoCluster board, which integrates a gigabit internal switch and runs from a single 65 W power supply. The setup delivers 16 cores and 64 GB RAM across the cluster. Using Distributed #LLaMA, the model is partitioned across the nodes, with synchronized workloads handled over the internal fabric. I am currently testing a small model at about 30 tokens per second, and with quantization performance can be pushed significantly further. #artificialintelligenceai #llm #thinkpadx1carbon #archlinux #hyprland #cluster