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A complete data science roadmap

A complete data science roadmap for beginners🤖🚀 ▶ Roadmap, tech-stack, learning resources, & projects to build a portfolio along with Timeline📅⏲ A thread🧵↓

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Accelerating Database Querying: Introducing SPL

SQL is the most used database querying language but it's slow and inefficient To query the database efficiently @esProc_SPL has developed a faster alternative to fetch data with fewer lines of code Learn more about the same👇 blog.scudata.com/the-impasse-of-sql-performance-optimizing/

A major difference between SQL and SPL is that SPL uses a set of data types and operations to accelerate the performance of database querying. SPL does not rely on relational databases or databases to fetch the data instead it uses a separate computing engine.

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Data Storage and Warehousing for Data Scientists

Data storage and warehousing concepts to know as a data scientist👇

Data storage and warehousing are important components of modern data engineering. With the exponential growth of data, it’s critical to have an efficient and scalable storage solution in place that can handle large amounts of data.

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Crash Course in Data Science

Course Alert⏰ A Crash Course in Data Science by Johns Hopkins Uni. Features at a glance: Flexible deadlines Shareable Certificate 100% online Coursera Labs Start learning now and sign up to excel in your career👇⚡ datakwery.com/coursera/a-crash-course-in-data-science/?utm_source=avi&utm_medium=blog

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Beginner's Guide to Machine Learning

🤖📚 Beginner's Guide to Machine Learning 📚🤖 Machine learning can seem intimidating to novices. Check out this thread that breaks down the basics into simple, easy-to-understand explanations

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The Importance of Good Data in ML/AI and Data Science

Data is the foundation of any ML/AI or data science project🤖 Without good data, it is impossible to train a machine learning model or build a data science product. Here's why good data is important and how to get them👇

1/ If you have done any data science project then you must have noticed that data is paramount in your modeling and deployment. Data is the fuel that drives machine learning models. Without data, machine learning models cannot learn or make predictions

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Sourcely: Your AI-Powered Essay Writing Assistant

As a student academic writing is invaluable to becoming successful in your academic journey📝 Writing an essay takes hours of searching through countless papers and research articles Introducing @sourcelyai - an AI-powered tool to find sources for your essays!👇

⚡sourcely.net allows you to find, summarize, and format sources for your academic papers with ease!! Instead of going through hours through google scholar databases and searching across the web "Sourcely" is the way to make your life easier!

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Introducing ScribeHow: AI-Powered Step-by-Step Guides

Documenting processes and guidelines can be tedious with boring screenshots and screen recordings😪 But there's a better way to create guidelines for your users or your team Introducing @ScribeHow - an AI-powered tool to generate step-by-step guides (without tears)

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Q&A Applications and Generative AI

Question and answering applications are the most useful applications of generative AI Let's look at this most promising use-case of generative AI👇

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