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Articles by Max Kelsen
Bain & Company acquires Max Kelsen's consulting and managed services divisions to bring enhanced machine learning and AI services to clients globally
Deal strengthens Bain's global ML, cloud, data & app engineering capabilities , /PRNewswire/ -- Bain & Company today announced that it has acquired Max Kelsen's consulting and managed services divisions (collectively referred to as "Max Kelsen Consulting"), a provider of artificial intelligence (AI) and machine learning (ML) solutions, to offer enhanced ML and AI capabilities to clients across the globe.
Bain & Company acquires Max Kelsen's consulting and managed services divisions to bring enhanced machine learning and AI services to clients globally
By Bain & Company, Max Kelsen Deal strengthens Bain's global ML, cloud, data & app engineering capabilities , July 31, 2023 /PRNewswire/ -- Bain & Company today announced that it has acquired 's consulting and managed services divisions (collectively referred to as "Max Kelsen Consulting"), a provider of artificial intelligence (AI) and machine learning (ML) solutions, to offer enhanced ML and AI capabilities to clients across the globe.
Neural Network Inference on FPGAs
Author: Daniel Suess, Senior Machine Learning Engineer at Max Kelsen Deploying your deep learning models directly to edge devices comes with many advantages compared to traditional cloud deployments: Eliminating communication can reduce latency and reliance on the network connection; since the data never leaves the device, edge-inference helps with maintaining user privacy; and since the amount of cloud resources is drastically reduced, edge-inference can also reduce ongoing costs.
Detecting Beeps from Brains
Authors: Jordan Taylor and Melvyn Yap (Neuroscience Research Team at Max Kelsen) Image edited from https://unsplash.com/photos/IHfOpAzzjHM. Thanks to Robina Weermeijer. We used the activity of a few neurons in the brains of rats to predict the timing of audio beeps they were hearing. Hopefully, the models and insights we developed for this problem may eventually be useful on the path towards improving treatments for Parkinson’s disease and other neurological disorders.
Explainable AI: Part Two - Investigating SHAP’s Statistical Stability
Author: Helena Foley, Machine Learning Researcher at Max Kelsen, based on SHAP paper by Melvyn Yap, PhD, Senior Machine Learning Researcher at Max Kelsen In our previous blog, we introduced the concept of SHAP values (4) and its advantages over other saliency mapping methods such as LIME (5). We also proposed that the application of this method to genetic data can be used to explore biology and enable clinical utility of deep models.
Explainable AI: Part One - A Short Introduction
Model Interpretability Author: Helena Foley, Machine Learning Researcher at Max Kelsen The road to the practical application of Machine Learning (ML) to medical data has been a long one and finally, the end may be in sight! It has already been successfully applied to things such as stained tumour tissue microarray (TMA) samples (Bychkov et al, 2018), whole-slide images (Ehteshami Bejnordi, 2017), and skin cancer images (Haenssle et al, 2018) with great success in terms of diagnostic accuracy,...
Quantum Machine Learning for Credit Risk Analysis and Option Pricing
Exploring existing financial mathematics problems where quantum amplitude estimation & algorithms are useful. In recent years alone, Wall Street titans, such as JP Morgan and Goldman Sachs, generated a cumulative revenue of half a trillion dollars. Quantitative analysts — or “quants” — have been instrumental to this tremendous success. Not only can they predict the expected payoff of financial derivatives using classical algorithms, “quants” are also able to estimate the level of financial risk.
Exploring the Mechanics of Quantum Computing Algorithms
Quantum algorithms promise extraordinary gains over classical algorithms. But what does a quantum future really look like? Authors: Thasmika Gokal (Machine Learning Engineer, Max Kelsen) Luke Kamols (Quantum Research Intern, Max Kelsen) With a new decade upon us, investors, consumers and innovators alike are predicting which emerging technologies are expected to shape the future. Although nascent, quantum computing has been heralded as a likely technological and economic disruptor.
“I want to learn Artificial Intelligence and Machine Learning. Where can I start?”
How I went from Apple Genius to Startup Failure to Uber Driver to Machine Learning Engineer The trick is to café hop until you find one which has great coffee and plenty of natural light. Then studying becomes easy. Photo by Madison Kanna. Thank you, xoxo. I was working at the Apple Store and I wanted a change. To start building the tech I was servicing. I began looking into Machine Learning (ML) and Artificial Intelligence (AI). There’s so much going on. Too much.
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