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DIY AI: How to Build a Linear Regression Model from Scratch

 Towards Data Science

The data used in this article is licensed under a creative commons license and is permitted for commercial use Introduction With all of the excitement and energy around AI, it is easy to lose sight of...

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Support Vector Machines: A Progression of Algorithms

 Towards Data Science

MMC, SVC, SVM: What’s the difference? The Support Vector Machine (SVM) is a popular learning algorithm used for many classification problems. They are known to be useful out-of-the-box (not much manu...

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Are Public Agencies Letting Open-Source Software Down?

 Towards Data Science

Open-source software is everywhere — powering the tools we rely on daily. Yet, when it comes to supporting and sustaining these projects, public agencies and institutions often fall short. In this ar...

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How to Get A Job in Data Science/Machine Learning With NO Previous Experience

 Towards Data Science

So you want to get a job in data science or machine learning, but all the jobs — even the entry-level ones — require experience. How are you supposed to get the experience you need if no one will hire...

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Show and Tell

 Towards Data Science

Implementing one of the earliest neural image caption generator models with PyTorch. Continue reading on Towards Data Science

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Neural Networks — Intuitively and Exhaustively Explained

 Towards Data Science

In this article we’ll form a thorough understanding of the neural network, a cornerstone technology underpinning virtually all cutting edge AI systems. We’ll first explore neurons in the human brain, ...

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How to Get Promoted as a Data Scientist

 Towards Data Science

Introduction I have been working as a Data Scientist since 2017, and during that time I have been promoted from a junior/mid-level to a senior, and most recently to a Lead Data Scientist. There is a l...

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How to Find Seasonality Patterns in Time Series

 Towards Data Science

Using Fourier Transform to detect seasonal components Continue reading on Towards Data Science

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Quantifying Surprise — A Data Scientist’s Intro To Information Theory — Part 1/4: Foundations

 Towards Data Science

During the telecommunication boom, Claude Shannon, in his seminal 1948 paper¹, posed a question that would revolutionise technology: How can we quantify communication? Shannon’s findings remain fundam...

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Quantifying Uncertainty — A Data Scientist’s Intro To Information Theory — Part 2/4: Entropy

 Towards Data Science

My momma always said “Life was like a box of chocolates. You never know what you’re gonna get.” — F. Gump (fictional philosopher and entrepreneur) This is the second article in a series on information...

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Deep Dive into WebSockets and Their Role in Client-Server Communication

 Towards Data Science

How WebSockets work, its tradeoffs, and how to design a real time messaging app Image by Kelly from Unsplash Real-time communication is everywhere — live chatbots, data streams, or instant messaging....

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Will 2025 Be the Year Real-Time Analytics Finally Goes Mainstream?

 Towards Data Science

Since the Hadoop era and the early days of Big Data, one prediction kept coming back year after year: “Next year will be the year of streaming.” There was a constant expectation that eventually, most ...

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