Machine Learning Book Bundle by No Starch Press
Get code-smart with No Starch Press books like Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner & Algorithmic Thinking: A Problem-Based Introduction!
Read more »Machine Learning and the Long Tail Paradox
When does automation suit your business model?. “Machine Learning & The Long Tail Paradox” is published by Tarek Amr in CodeX.
Read more »Top Machine Learning Operations Repositories
GitHub is where people build software. More than 65 million people use GitHub to discover, fork, and contribute to over 200 million projects.
Read more »Age of Empires 4 to use Machine Learning for merciless difficulty level
To avoid a classic RTS problem, Age of Empires 4 is toying around with an AI that will eventually become so smart you’ll never beat it.
Read more »When Do Investors Freak Out? Machine Learning Predictions of Panic Selling [pdf]
Despite standard investment advice to the contrary, individuals often engage in panic selling, liquidating significant portions of their risky assets in respons…
Read more »The Reasons Most Machine Learning Hedge Funds Fail
This talk, titled The 7 Reasons Most Machine Learning Funds Fail, looks at the particularly high rate of failure in financial machine learning. The few manag…
Read more »Steps for Building Machine Learning Models for Business
We share five steps on approaching machine learning from a business perspective that helped to build and scale our suite of machine learning products.
Read more »Perspectives on Machine Learning from Psychology’s Reproducibility Crisis
In the early 2010s, a crisis of reproducibility rocked the field of psychology. Following a period of reflection, the field has responded with radical reform of its scientific practices. More recently, similar questions about the reproducibility of machin…
Read more »Machine Learning in Fusion Reactors
Nuclear physics may be one of machine learning’s newest frontiers…
Read more »Esperanto Unveils Energy-Efficient RISC-V-Based Machine Learning Accelerator
Esperanto’s ML inference accelerator features over a thousand RISC-V custom processor cores for industry-leading performance per watt.
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