Remove 2020 Remove Natural Language Processing Remove Support Vector Machines
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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

Released in 2020, AlphaFold leverages deep learning algorithms to accurately predict the 3D structure of proteins from their amino acid sequences, outperforming traditional methods by a significant margin.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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

Mlearning.ai

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ). Machine learning algorithms can also recognize patterns in DNA sequences and predict a patient’s probability of developing an illness. Accenture estimates that the health AI market in the United States is expected to grow at 40% annually.