Data Science

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Getting Started with XGBoost: A Beginner-Friendly Tutorial

Among all the tools that a data scientist has, it is difficult to find one that has received a reputation as an effective and trustworthy tool like XGBoost. It was even mentioned in the winning solution of machine learning competitions on a site such as Kaggle, which you have probably visited. This isn’t by accident. […]

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Implementing Softmax From Scratch: Avoiding the Numerical Stability Trap

In deep learning, classification models don’t just need to make predictions—they need to express confidence. That’s where the Softmax activation function comes in. Softmax takes the raw, unbounded scores produced by a neural network and transforms them into a well-defined probability distribution, making it possible to interpret each output as the likelihood of a specific

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30 Best Data Science Books to Read in 2026

Data science powers decision-making across modern businesses, from data preparation and automation to advanced analytics and machine learning. Learning it requires a strong foundation in mathematics, statistics, programming, and practical problem-solving. The good news is that data science can be self-learned with the right resources and consistent practice. Books remain one of the most effective

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How to Structure Your Data Science Project (With Frameworks & Best Practices)

Ever felt lost in messy folders, so many scripts, and unorganized code? That chaos only slows you down and hardens the data science journey. Organized workflows and project structures are not just nice-to-have, because it affects the reproducibility, collaboration and understanding of what’s happening in the project. In this blog, we’ll explore the best practices plus look at a sample project

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Top 18 Power BI Project Ideas For Practice 2026

Power BI is an influential tool, shaping raw data into informative visuals and reports. With a user-friendly interface and formidable functionalities, Power BI is an invaluable platform for individuals to refine their skills through hands-on projects. By engaging in Power BI practice projects, beginners and experts can significantly augment their prowess. In this article, we

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15 Best Python Books for Beginners to Advanced Learners [2026 Edition]

There is no shortage of resources available online and offline when it comes to learning Python. However, not all Python books are created equal. Some are best suited for beginners, while others are designed for experienced programmers or learners with specific goals. In this article, I have curated the best Python books across different categories

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Guest Post: The Backwards Conversation (part 1 of a series)

Most conversations between decision makers and data professionals begin back-to-front If you’re a decision maker who wants to make the best use of data and other information resources, such as artificial intelligence (AI), to support your decisions, chances are that conversations between you and your data analysts is happening back-to-front. Data analysts should encourage us

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A Framework for How Data Informs Decisions The Decision Intelligence / Data Science Integration Framework

As data storage and management becomes less expensive, many organizations are tasked with being “data-driven”. What does this mean in practice? For many, using data to inform important organizational decisions is an important goal. This is the role of Decision Intelligence (DI): a practice that bridges decisions to data. However, it’s not always clear how

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Understanding what we mean by “Decision” in ML/AI/DI

In artificial intelligence, machine learning, decision intelligence, statistics, and science, we use the word “decision” to mean a lot of things. Let’s tease out some distinctions: Decision TypeNameQuestion answeredPrimary information SourceTypical success criterionTypical methodAML classification“Decisions That”: “What is this picture?” “What disease does this person have?” “Is this a cat?”DataTrue positive, true negativeSupervised learningBML regression“Decision

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The #COVID19 Driver’s Seat

I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery.  I made it through, but along the way, and with the perspective afforded by a lot of time on the couch and away from the day-to-day business of Quantellia, I became galvanized to do something about other COVID

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