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Over 15 years, Machine Learning Blogs have been my career backbone. KDnuggets taught me clustering as a rookie analyst. AWS and Google AI guided enterprise MLOps as I scaled projects. Lil’Log’s inference optimization saved 20% on compute costs for a recent client. A defining moment: In 2...
I'm following this plan to prepare for my near-future job: Machine learning engineer. I've been building native mobile applications (Android/iOS/Blackberry) since 2011. I have a Software Engineering degree, not a Computer Science degree. I have an itty-bitty amount of basic knowledge about:...
I'm following this plan to prepare for my near-future job: Machine learning engineer. I've been building native mobile applications (Android/iOS/Blackberry) since 2011. I have a Software Engineering degree, not a Computer Science degree. I have an itty-bitty amount of basic knowledge about:...
Machine Learning is more on math concepts rather than software engineering. Although not specifically required, it would be advantageous if you have a background in statistics or college math (Linear algebra, Differential calculus) to understand how an algorithm works behind the scenes. Also, It wo...
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The addition of heterogenous memory management to the Linux kernel will unlock new ways to speed up GPUs, and potentially other kinds of machine learning hardware Credit: Thinkstock It’s been a long time in the works, but a memory management feature intended to give machine learning or ...
Statistical learning is really, at bottom, a theory of learning: it tries to describe mathematically what it means to generalize about examples. The concept of a “bias-variance tradeoff,” for instance, allows us to reason more precisely about the intuitive insight that there is some optimal ...
I didn't do a PhD on machine learning (was mostly focused on Signal Processing and Software Engineering) so I get this question a lot. The typical person that asks me this question is a software engineer with a computer science background, so I will address it from that perspective. If ...
Machine learning Gaussian processes Metallic glass Uncertainty quantification 1. Introduction Additive manufacturing (AM) - also known as three-dimensional (3D) printing - enables the fabrication of near-net shape components with high geometrical freedom, due to the layer-by-layer build-up based on ...