We are thrilled to announce our partnership with Dataiku, the leading platform for data science and machine learning. Dataiku's Everyday AI platform offers powerful tools, intuitive capabilities and allows for collaboration between code-first data scientists and non-coding colleagues. The platform can also be integrated with Microsoft Azure and Databricks, driving innovation in the field of data science and ML. With Dataiku, we are able to offer our customers access to the latest in data science and ML tools, enabling advanced and sophisticated solutions to meet their business needs.
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Data Science & Data Engineering blogs
Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.
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Knowing your customers inside out is key for any business. But getting a full understanding of what they want and need can be challenging. That's where machine learning (ML) comes in. By using ML-driven customer 360 views, you can get a better understanding of your customer's buying habits, preferences, and needs. This can then be used to make your marketing more personal, and improve the customer experience while increasing sales through cross-selling and upselling.
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Learn how to use a classification model on a Kaggle dataset to drive quantifiable business value. This guide covers defining the business problem, cleaning the data, building and tuning the model, and more
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This blog discusses the challenges faced by the manufacturing industry and how big data can be utilized to overcome them. The focus is on demand forecasting, and the blog includes a case study demonstrating the effectiveness of using big data for this purpose. The case study shows how data analysis can improve production optimization and supply chain management, leading to more efficient and accurate demand forecasting. The blog also highlights the importance of predictive analytics and the potential for big data to revolutionize the manufacturing industry. Overall, the blog emphasizes the value of big data in overcoming industry challenges and driving manufacturing efficiency.
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Learn about the key differences between multi-dimensional modeling and relational modeling in analytical systems. Understand if multi-dimensional is a relational concept or not.
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In this blog, we will discuss the transformer architecture, blockwise training, and the various use cases of large language models such as ChatGPT. We'll explore how these models can be fine-tuned for tasks like language translation, text summarization, text generation, question answering, sentiment analysis, dialogue generation and language modeling. Whether you are a ML engineer or a language enthusiast, this blog post will provide a comprehensive understanding of the latest developments in NLP.
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Recommendation engines have gained popularity within the businesses and e-commerce world. Companies now make use of recommendation engines to provide personalised suggestions to their customers. These recommendations make it possible for customers to be provided with suitable suggestions for items they have not yet seen.
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Are you having trouble getting value out of your company's unstructured data? Optical character recognition (OCR) could be the answer. OCR technology allows businesses to turn unstructured documents and images into structured data, enabling them to make informed decisions. This technology can be used in various industries, including healthcare, finance, legal, and retail, to streamline processes and gain valuable insights. Discover how OCR can transform your business now.
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A fast and effective way of performing geospatial operations within Databricks. This article explores 3 use cases that utilise the library Mosaic.
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