Article: The Five Ways To Build Machine Learning Models

Free, Language, Libre, Open Data, Open Software

The Five Ways To Build Machine Learning Models

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications. Machine learning systems are core to enabling each of these seven patterns of AI.

In order to move up the data value chain from the information level  to the knowledge level, we need to apply machine learning that will enable systems to identify patterns in data and learn from those patterns to apply to new, never before seen data. Machine learning is not all of AI, but it is a big part of it.

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Article: 5 Data Science Open-source Projects You Should Consider Contributing to

Innovation, Open Data, Open Source, Open Space

5 Data Science Open-source Projects You Should Consider Contributing to

One of the most crucial aspects of landing your desired role in data science is building a strong, potent, eye-catching portfolio that proves your skills and shows that you can handle large-scale projects and play nicely in a team. Your portfolio needs to prove that you spent the time, effort, and resources to hone your skills as a data scientist.

Proving your skills to someone who doesnt know you, especially in a short time frame — the average time a recruiter spends on a resume or a portfolio is 7~10 seconds — is not easy. However, it’s not impossible either.

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