data science
PulseAugur coverage of data science — every cluster mentioning data science across labs, papers, and developer communities, ranked by signal.
9 day(s) with sentiment data
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AI and Machine Learning Training Offered in Hyderabad
Quality Thought Software Institute in Hyderabad offers comprehensive training programs in AI and Machine Learning. The institute aims to equip students with the skills necessary to build successful careers in the data s…
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MLOps Engineers: Bridging Data Science and Software Engineering in AI
An ML Operations (MLOps) engineer plays a crucial role in the lifecycle of machine learning models, bridging the gap between data science and software engineering. Their daily tasks involve deploying, monitoring, and ma…
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LLM Engineer's Handbook details production-ready AI development
The "LLM Engineer's Handbook: Master the art of engineering large language models from concept to production" offers a comprehensive guide to building and deploying LLM applications. It covers essential topics such as M…
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Top 5 IT Skills for High-Paying Jobs in 2026 Revealed
To secure a high-paying IT job in 2026, individuals should focus on developing skills in Python programming, AI and machine learning, web development, data analytics, and data science. Acquiring proficiency in these are…
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Top Python Libraries for AI and Data Science Revealed
This cluster highlights top Python libraries for machine learning and data science, as reported by Unite.AI. The articles list essential tools for professionals and learners in the AI and data science fields. These libr…
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Data Science Enhances Healthcare Decision-Making and Patient Journeys
This article explores how data science and machine learning can be applied to healthcare to predict patient journeys and improve decision-making. It discusses the potential of these technologies to optimize patient care…
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AI era opens new opportunities in data science
The current era of artificial intelligence presents new avenues and opportunities within the field of data science. This shift suggests that advancements in AI can lead to expanded roles and innovative applications for …
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Gazzelloni explores AI, data, and programming education
Federico Gazzelloni's latest Substack issue delves into reflections on memory, judgment, and programming education. The content is framed within the broader contexts of data science and artificial intelligence. This ins…
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AI Agents Reshaping Data Science Workflows by 2026
The "Agentic Era" is poised to significantly alter data science practices, with AI agents reshaping workflows and demanding new skill sets from practitioners by 2026. This shift highlights the growing integration of AI …
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New SDP solver SDPLR+ scales to million-variable problems
Researchers have developed a new semidefinite programming (SDP) solver called SDPLR+ that significantly improves scalability and speed for large-scale problems. This solver optimizes over low-rank factorizations, reduci…
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ICMLAI 2027 conference seeks speakers for Berlin event
The International Conference on Machine Learning and Artificial Intelligence (ICMLAI) is seeking speakers for its 2027 event. The conference is scheduled to take place in Berlin, Germany, from May 24-25, 2027. Professio…
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STEM PhDs Seek Advice on Transitioning to ML Engineering Roles
A Reddit post on r/MachineLearning seeks advice from individuals who transitioned from STEM PhD programs outside of computer science into Machine Learning Engineering (MLE) or Data Science roles. The original poster, ho…
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New research analyzes learning problems in deep unfolding neural networks
Researchers have published a paper detailing theoretical aspects of learning problems associated with a specific type of deep unfolding neural network. The work focuses on the basic forward-backward-splitting (FBS)-indu…
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SVM Interview Questions: Concepts, Kernels, and Comparisons
This article series delves into Support Vector Machines (SVMs), a popular machine learning algorithm, by presenting a comprehensive list of interview-style questions. Part 1 covers foundational concepts like decision bo…
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Data Science Portfolios Shift to Production-Ready Applications
The article discusses the evolving landscape of data science portfolios, emphasizing a shift towards production-ready applications over traditional Jupyter Notebooks. It highlights the need for data scientists to demons…
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Study: AI model adoption outpaces workflow feature use in life sciences
A recent study analyzing 903 sessions indicates a significant gap in how data science and life sciences teams utilize AI tools like Codex. While these teams rapidly adopt new AI models, they are failing to leverage the …
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Qiita articles explore AI's impact on coding, data science, and project management
Several articles from Qiita discuss the integration and implications of AI across various tech fields. One piece explores OpenAI's decision to offer Codex for free, questioning the strategic intent behind this move. Oth…
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Surveys explore AI in mental health and agriculture, clarify AI vs ML vs DL
Two recent surveys explore the application of AI and deep learning in distinct fields. One paper focuses on explainable AI for detecting mental disorders through social media, emphasizing the need for transparency in he…
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Eugene Yan explores Agile and Scrum frameworks for data science effectiveness
Eugene Yan's articles explore the application of Agile and Scrum frameworks within data science teams, highlighting both their benefits and challenges. While Agile's iterative approach, clear task definition, and feedba…
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Eugene Yan shares how Lazada leverages data science for e-commerce
Eugene Yan, VP of Data Science, recently spoke at INSEAD about Lazada's application of data science and machine learning in e-commerce. He highlighted two key use cases: automated user review classification, which signi…