Exploring Julia Programming Language: Unit Testing
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Running unit testing in the Julia programming languageImage by Author. Welcome back to this series for exploring the Julia programming language for developing end-to-end machine learning projects U+1F44B. In this post, we’ll dive …
10 Top Time Series Courses to Proficient This Important Data Science Skills
Author(s): Youssef Hosni Originally published on Towards AI. Master time series analysis through these courses Time series analysis is a fundamental skill in the world of data science, enabling us to unlock valuable insights hidden within sequential data points. Whether you’re tracking …
Diagnosing Parkinson’s Disease Using Voice Sample Data Analysis: Features Selection
Author(s): Mahesh Tiwari Originally published on Towards AI. Figure: Mohammad Ali also suffered from Parkinson's Disease. Image source at https://www.greenleft.org.au/content/muhammad-ali-%E2%80%94-free-black-man Overview A neurological condition known as Parkinson’s Disease (PD) is characterised by increasing movement abnormalities that damage the nervous system. Despite its …
Branch and Bound — Introduction Prior to Coding the Algorithm From Scratch
Author(s): Francis Adrian Viernes Originally published on Towards AI. An Introduction to Integer Problems and One of The Ways to Solve ThemPhoto by Possessed Photography on Unsplash Integer programming (IP) is a special case of linear programming (LP) where the decision variables …
The Hardest of Pandas: pivot_table, stack, and unstack Clearly Explained
Author(s): Bex T. Originally published on Towards AI. Master these head-scratchers like never beforeImage by me with Midjourney While most Pandas expressions read like English, you sometimes face real head-scratchers. Yes, they have intuitive names like cut or pivot but they are …
Mastering Matplotlib: A Comprehensive Guide to Data Visualization
Author(s): RaviTeja G Originally published on Towards AI. Image Generated with Ideogram.ai Hello, Data EnthusiastU+1F44B We know that data is better understood through visualizations. It doesn’t just help us get insights, Visualizations also make things easy to explain our insights to clients …
AI for All: Navigating the New Age of Democratized Intelligence
Author(s): Ryan Shrott Originally published on Towards AI. From Mega-Models to GPU Swarms: Practical Steps to Harness and Apply Today’s AI Tools for Everyone.Photo by Steve Johnson on Unsplash Imagine a world where cutting-edge AI tools are as accessible as smartphone apps, …
7 Ways To Make a Correlation Matrix In Python
Author(s): Adam Ross Nelson Originally published on Towards AI. Don’t be the data scientist who always throws the same correlation matrix around! Lets be honest the plain vanilla correlation matrix is a snooze. So is the ever-popular pairplot. Useful, but a snooze. …
Generative AI for time-series
Author(s): Fabiana Clemente Originally published on Towards AI. Time-series data — traffic data, stock prices, weather and energy measurements, healthcare signals — is essentially data that is continuously generated over time. This time dependency introduces new levels of complexity to the process …
The Road to Credible and Value-Driven AI: Start with Asking the Right Questions.
Author(s): Hajar Khizou Originally published on Towards AI. Photo by Mojahid Mottakin on Unsplash The recent advancements in generative AI have caught the attention of businesses, irrespective of their size, in implementing this technology to achieve tangible business benefits. However, many of …
Top Important Computer Vision Papers for the Week from 11/9 to 17/9
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research Computer vision, a field of artificial intelligence that enables machines to interpret and understand the visual world, is rapidly evolving with groundbreaking research and technological advancements. On …
Why and What is Feature Engineering in ML?
Author(s): Amit Chauhan Originally published on Towards AI. Data transformation and selection for machine learningAn image from the Author It is a process of feature transformation and selection or extraction to make the improved data for a machine learning model. It depends …
Regex for the Modern Data Scientist — Part 2
Author(s): Riccardo Andreoni Originally published on Towards AI. Let’s continue our dive into the intriguing world of RegEx and discover its importance for data scientists and software engineers. In the previous article, we analyzed the RegEx fundamental elements. We discovered how patterns …
This AI newsletter is all you need #65
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI, we had developments in AI regulation from the Capitol: tech leaders such as Elon Musk and Mark Zuckerberg joined over …
Inventory Optimization with Data Science: Hands-On Tutorial with Python
Author(s): Peyman Kor Originally published on Towards AI. Photo by Christin Hume on Unsplash Intro Inventory optimization is like solving a tricky puzzle. As a broad problem, it arises across many domains, it is all about figuring out how many products to …
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