Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.
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Let's learn Python by building a command-line TO-DO list app, one step at a time.
Bring the latest AI implementation to Pandas to improve your data workflow.
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Welcome to the world of investments!
Enhance your data profession by learning Azure, a high-demand skill and expertise.
A Python library for creating interactive maps with Google Earth Engine and ipyleaflet.
Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.
The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.
Want to get into the tech industry but don’t want to learn how to code?
Adding these 7 key elements to your resume will improve your odds of getting an interview call. Remember, after graduating from the university, your full-time job is to find a job, so put some ef...
Learn how to use various data science platforms to secure your first job.
There is more than one route that you can take to be a competitive tech professional.
Let’s learn all the useful services from the OpenAI.
Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.
Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegro...
Learn how to convert a Python dictionary to JSON with this quick tutorial.
Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.
Are you looking to make a career in data science? Start by learning SQL with these free courses.
Access Mistral’s latest open-source model and fine-tune it on a custom dataset.
Learn about the top tools and frameworks that can simplify deploying large machine learning models in production and generate business value.
The C-suite of business, technology, and data executives sees a new addition – the CAIO (Chief AI Officer). But what does this role mean for the organizations? Let’s find out!
These GitHub repositories provide valuable resources for mastering computer science, including comprehensive roadmaps, free books and courses, tutorials, and hands-on coding exercises to help you...
Do you want to know how to run LLMs on your computer without installing a lot of dependencies or writing code? Well, you're in luck! By the end of this tutorial, you will have successfully run an...
Learn how to use Gemini Pro locally and deploy your own private web application on Vercel in just one minute.
Here’s how to stand out from the competition, impress employers, and get a job in data analytics.
Explore some of Python’s sharp corners by coding your way through simple yet helpful examples.
Data science’s essence lies in machine learning algorithms. Here are ten algorithms that are a great introduction to machine learning for any beginner!
Dive into the 50 most popular deep-learning questions to get you ready for your interview.
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Learning as a tech professional never ends, so keep up to date with these learning platforms.
This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.
Begin your MLOps journey with these comprehensive free resources available on GitHub.
Learn about AI productivity tools that will make you a super data scientist.
This article serves as a detailed guide on how to master advanced Python techniques for data science. It covers topics such as efficient data manipulation with Pandas, parallel processing with Py...
From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.
Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and masteri...
Want to become a software engineer? Make it happen with these free courses and guides from Google.
Have you ever asked yourself ‘Am I using these generative AI tools correctly?
Unlocking Database Basics.
Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.
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Want to write more robust Python applications? Learn how to use Pydantic, a popular data validation library, to model and validate your data.
GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.
MetaGPT's newest agent addition makes running data interpretation and analysis tasks a breeze. Find out more and give it a try for yourself.
Learn data science in 2024 for FREE with these online courses.
Are you curious about what it takes to become a professional data scientist? Look no further! By following these guides, you can transform yourself into a skilled data scientist and unlock endles...
Learn data science according to your expertise with these 4 different learning roadmaps.
Check out this beginner’s guide to understanding the role of Large Language Model Operations for seamless user experiences.
Statistics is a must-have skill for data science. And here are 5 free books that’ll help you learn all the statistics you need as a data professional.
Learn how to automate machine learning training and evaluation using scikit-learn pipelines, GitHub Actions, and CML.
Want to become an ML engineer? These free courses from Google can help you get there.
Run large language models on your local PC for customized AI capabilities with more control, privacy, and personalization.
Data science is not the only career path you could take, even if you have already learned to be one.
Ready to become a SAS Certified Specialist in Statistics for Machine Learning? Here’s everything you need to know about the recently released certification from SAS.
Explore the fundamental steps for creating a successful AI Application with Python and other tools.
Learn how to perform data analysis, data visualization, and model training in GoLang, just like Python.
Want to move into the data science field? Or advance your career in the data? Don’t miss these must-have skills.
If you are a data scientist who works with large amounts of data and hasn’t learned SQL yet - now might be the time.