June 15, 2024

Software

Using Your GI Bill for Tech Education: What You Need To Know | HackerNoon

If you know how to use your GI bill, it could pay for your schooling, certifications, or tests, catapulting you into the tech field. Do you know what to do to make the most out of it? Using Your GI Bill to Transition Into a Tech Career Frankly, there’s rarely been a better time to enter the tech field. For example, information security analysts’ job outlook is growing 32% from 2022 to 2032 — one

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Software

Dazed and Confused: What’s Wrong with Crypto Libraries? — Abstract and Introduction | HackerNoon

Authors: (1) Mohammadreza Hazhirpasand, University of Bern, Bern, Switzerland; (2) Oscar Nierstrasz, University of Bern, Bern, Switzerland; (3) Mohammad Ghafari, University of Auckland, Auckland, New Zealand. Table of Links Abstract—Recent studies have shown that developers have difficulties in using cryptographic APIs, which often led to security flaws. We are interested to tackle this matter by looking into what types of problems exist in various crypto libraries. We manually studied 500 posts on Stack Overflow associated

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Software

Dazed and Confused: What’s Wrong with Crypto Libraries? — Threats to Validity | HackerNoon

Authors: (1) Mohammadreza Hazhirpasand, University of Bern, Bern, Switzerland; (2) Oscar Nierstrasz, University of Bern, Bern, Switzerland; (3) Mohammad Ghafari, University of Auckland, Auckland, New Zealand. Table of Links IV. THREATS TO VALIDITY We selected 25 posts from each crypto library. This may not be a representative sample of the whole population; however, we were particularly interested in the common themes of issues in various libraries, not just one library. We selected the latest posts

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Dazed and Confused: What’s Wrong with Crypto Libraries? — Results and Discussion | HackerNoon

Authors: (1) Mohammadreza Hazhirpasand, University of Bern, Bern, Switzerland; (2) Oscar Nierstrasz, University of Bern, Bern, Switzerland; (3) Mohammad Ghafari, University of Auckland, Auckland, New Zealand. Table of Links III. RESULTS AND DISCUSSION Table II lists the themes, the associated number of posts in each theme, and a brief summary of what each theme is. The highest number of posts is associated with encryption/decryption of a file while the least number of posts is associated

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Software

Dazed and Confused: What’s Wrong with Crypto Libraries? — Acknowledgments and References | HackerNoon

Authors: (1) Mohammadreza Hazhirpasand, University of Bern, Bern, Switzerland; (2) Oscar Nierstrasz, University of Bern, Bern, Switzerland; (3) Mohammad Ghafari, University of Auckland, Auckland, New Zealand. Table of Links VII. ACKNOWLEDGMENTS We gratefully acknowledge the financial support of the Swiss National Science Foundation for the project “Agile Software Assistance” (SNSF project No. 200020-181973, Feb. 1, 2019 – April 30, 2022). We also thank CHOOSE, the Swiss Group for Original and Outside-the-box Software Engineering of the

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AI

Welch’s t-Test: The Reliable Way to Compare 2 Population Means with Unequal Variances

Discover why Welch’s t-Test is the go-to method for accurate statistical comparison, even when variances differ. Vito Rihaldijiran · Follow Published in Towards Data Science · 8 min read · 1 day ago — Photo by Simon Maage on Unsplash Part 1: Background In the first semester of my postgrad, I had the opportunity to take the course STAT7055: Introductory Statistics for Business and Finance. Throughout the course, I definitely felt a bit exhausted at

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BeReal got its best-case scenario exit

There has been a lot of bad news about social media startups lately. Multiple companies, including Twitter alternative Post News, and IRL have shut down. And ShareChat’s valuation has dropped more than 50% after a recent funding round. But amid the negative headlines, the recent exit of French social network BeReal looks like a bright spot. BeReal, which alerts users that they have two minutes to “be real” by taking both a front-facing photo and

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AI

Simple Model Retraining Automation via GitHub Actions

Easily streamline your modelling process with the GitHub Actions. Cornellius Yudha Wijaya · Follow Published in Towards Data Science · 11 min read · 12 hours ago — Photo by Praveen Thirumurugan on Unsplash Machine Learning models could create immense value for the business. However, developing them isn’t a one-time activity. Instead, it’s a continuous process for the model to keep providing values. This is where MLOps came from.

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AI

Paper review — Communicative Agents for Software Development

A detailed review of the “ChatDev” AI Agent paper Eddie Forson · Follow Published in Towards Data Science · 10 min read · Jun 8, 2024 — Screenshot of ChatDev paper cover After reading and reviewing the Generative Agents paper, I decided to explore the world of AI coding Agents. My next stop on this journey was the paper titled “Communicative Agents for Software Development”, also known as ChatDev. ChatDev presents an innovative paradigm to

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