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In Machine Learning, Bias, Bias and Bias Are Three Different Things

Machine learning services has sparked a lot of issues relating to bias. People are generally concerned with how machine learning operates ethically and fairly when making decisions. However, bias is intrinsic to machine learning and it will pop up many times in the development process. Developing a basic understanding of the types of bias in…

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Start Your Career in Machine Learning & AI | Wovenware Blog

How to Start Your Career in Machine Learning & AI

Required Courses for Aspiring AI Professionals Last year, I wrote a blog highlighting and suggesting a path to take for a career as a machine learning engineer. Some things have changed since then but many still remain the same. Data scientists, machine learning engineers or other careers in machine learning and AI still dominate the list…

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P-Hacking a Statistical Pitfall of Machine Learning

P-Hacking a Statistical Pitfall of Machine Learning

Digital transformation has revolutionized the way businesses operate, enabling organizations to leverage data and technology to gain insights and make better decisions. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool for analyzing data and making predictions. However, as with any statistical technique, machine learning is subject to pitfalls, one of…

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The Problems with Imbalanced Dataset and How to Solve Them

In one of our latest posts my colleague David shared some valuable insights regarding predicting customer churn with deep learning for one of Wovenware’s healthcare clients. He mentioned that a key part of the business problem was working with an imbalanced dataset. This blog post is the second in a three-part series where I will share…

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