Towards Data Science

“Towards Data Science” is a platform that delves into various aspects of data science, machine learning, and artificial intelligence. The content covers topics such as Python programming, data augmentation for machine learning, and the use of AI applications like Langchain for conversation history retention. Additionally, the platform explores the challenges and solutions in enterprise-level AI implementations, emphasizing the importance of understanding and utilizing big data effectively. With a focus on practical applications and technical insights, “Towards Data Science” provides valuable resources for individuals interested in staying updated on the latest trends and advancements in the field of data science.

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

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...

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...

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...

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...

Show and Tell

Towards Data Science

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

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, ...

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...

How to Find Seasonality Patterns in Time Series

Towards Data Science

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

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...

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...

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....

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 ...