The need for data science has not decreased or been replaced; instead, it’s the field of data science maturing, with a greater demand for specialized skills and practical experience.
Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.
List of top MLOPs platforms that will help you with integration, training, tracking, deployment, monitoring, CI/CD, and optimizing the infrastructure.
Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.
Content creation can be tedious work and takes much of our time. With Generative AI, we can improve the quality and efficiency of our work.
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This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.
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Learn about the growing demand for data scientists in the year 2024.
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The secret recipe to excel in your career in AI.
Are you an aspiring data scientist? If so, these free data science courses from Stanford will help you move forward in your data science journey!
The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.
Learn about Vectors and How Storing Data Can Be Used in LLM Applications.
Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.
Learning a new skill can be expensive, but it doesn’t have to be.
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.
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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.
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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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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.