As machine learning becomes a more and more important area in Data Science, bringing with it a rise of abstractness and complexity, the desire for explainability rises, too. With our work we aim to gain explainability focussing on correlation clustering and try to pursue the original goals of ...
According to Statista, the AI industry is expected to grow at an annual rate of27.67%, reaching a market size of US$826.70bn by 2030. With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collab...
The Human Data Science Cloud has the capability to flip that ratio and is unlike anything currently available in life sciences. Harietta Eleftherochorinou Head, AI & Machine Learning Solutions, Real World Analytics Solutions IQVIAOut of our 4,600 Data Scientists over 700 are actively using the...
Python Tooling Beyond Pandas: Libraries to Broaden Your Data Science Toolkit The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs Using GPT-4.5 Without a $200 Subscription Preparing the Workforce for an AI-Driven Economy: Skills of the Future ...
Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Learn how other organizations did it: How the problem is framed 🔎(e.g., personalization as recsys vs. search vs. sequences) What machine learning...
The same intuition is applied to other materials science use cases with features that are long in one or two dimensions; for example, delamination in carbon fiber composites, pore space in gas-bearing shale, thin films in power structures, layer-wise metrology of semiconduct...
Synapse Notebooks enable you to harness the power of Apache Spark to explore and analyze data, conduct data engineering tasks, and do data science. Authentication and authorization with linked services, such as the primary data lake storage account, are fully integrated...
Data mining, in computer science, the process of discovering interesting and useful patterns and relationships in large volumes of data. The field combines tools from statistics and artificial intelligence (such as neural networks and machine learning) w
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these models excel in delivering precise object segmentation and seamless separation. This is achieved within our "Deep Learning Prediction" inference module, your trusted tool for accurate AI segmentation. Whether you are dealing with various types of particles in material scienc...