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Deep Learning Approaches in Medical Image Segmentation

KDnuggets

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning.

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Deep Learning For Data Engineers

Data Engineering Podcast

Summary Deep learning is the latest class of technology that is gaining widespread interest. Can you start by giving an overview of what deep learning is for anyone who isn’t familiar with it? What has been your personal experience with deep learning and what set you down that path?

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

AltexSoft

And this technology of Natural Language Processing is available to all businesses. Keep reading to learn: What problems NLP can help solve. Available methods for text processing and which one to choose. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life.

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

There is no end to what can be achieved with the right ML algorithm. Machine Learning is comprised of different types of algorithms, each of which performs a unique task. U sers deploy these algorithms based on the problem statement and complexity of the problem they deal with.

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Deep Learning with Nvidia GPUs in Cloudera Machine Learning

Cloudera

To make these processes simpler — and to get data scientists working on ML use cases faster — we made it simple to configure and leverage NVIDIA GPUs natively in CML. The problem set, however, hasn’t kept up to the times and modern GPUs and algorithms are now able to solve it faster than it takes you to read this paragraph.

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Improving ETAs with Multi-Task Models, Deep Learning, and Probabilistic Forecasts

DoorDash Engineering

This harnesses state-of-the-art deep learning (DL) algorithms through a novel two-layer ML architecture that provides precise ETA predictions from vast, real-world data sets for optimal robustness and generalizability. We address this through close collaboration with backend engineering teams.

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The Complete Collection of Data Science Cheat Sheets – Part 2

KDnuggets

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.