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Problem-solving tools offered by digital technology

Data Science Dojo

as defined by Belinda Goodrich, 2021) are: Project life cycle, Integration, Scope, Schedule, Cost, Quality, Resources, Communications, Risk, Procurement, Stakeholders, and Professional responsibility / ethics. But for more complicated problems, the interdisciplinary field of project management might be useful–i.e.,

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5 Ways Data Analytics Helps Investors Maximize Stock Market Returns

Smart Data Collective

Game Stop in early 2021 comes to mind. Ramneet Rekhi of New York University and his colleagues from Stanford discussed this in their paper titled Finding Undervalued Stocks with Machine Learning. The authors concluded that nonlinear support vector machines can help investors choose investments with the best future returns.

Analytics 145
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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

This includes one paper from 2020 that conducted feature extraction using a denoising autoencoder alongside a deep neural network, and a flattened vector and support vector machines to evaluate study relevance. Additionally, data extraction can be more difficult to automate than other SLR elements.

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. In 2021, 13 AI-derived biologics reached the clinical stage, with their therapy areas including COVID-19, oncology, and neurology. AI drug discovery is exploding.

AI 139
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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms. These included the Support vector machine (SVM) based models. These algorithms treated NLP analysis with a more statistical and mathematical approach. 2018) “ Language models are few-shot learners ” by Brown et al.

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A comprehensive guide to learning LLMs (Foundational Models)

Mlearning.ai

LLMs (Foundational Models) 101: Introduction to Transformer Models Transformers, explained: Understand the model behind GPT, BERT, and T5 — YouTube Illustrated Guide to Transformers Neural Network: A step by step explanation — YouTube Attention Mechanism Deep dive.

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department.