Remove 2020 Remove Artificial Intelligence Remove Support Vector Machines
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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). It’s for these reasons that practically everyone involved has a vested interest in SLR automation.

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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

What is Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with interactions between computers and human languages. The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms.

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Data-driven Attribution Modeling

Data Science Blog

Finally, Shapley value and Markov chain attribution can also be combined using an ensemble attribution model to further reduce the generalization error (Gaur & Bharti 2020). Moreover, random forest models as well as support vector machines (SVMs) are also frequently applied. References Zhao, K., Mahboobi, S.

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A Non-Deep Learning Approach to Computer Vision

Heartbeat

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].” Springer International Publishing, 2020.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

Further, significant health technology, digital technology, and artificial intelligence (AI) investments are needed to bridge the health service gap in emerging markets. Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ). Figure 3: AI in Precision Medicine (source: Subramanian et al.,

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Intuitive robotic manipulator control with a Myo armband

Mlearning.ai

left: neutral pose — do nothing | right: fist  — close gripper | Photos from myo-readings-dataset left: extension  — move forward | right: flexion  — move backward | Photos from myo-readings-dataset This project uses the scikit-learn implementation of a Support Vector Machine (SVM) trained for gesture recognition. and Corke, P.,