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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Classifying formal documents by type is the most basic example where rule-based systems would work well.

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The road to Software 2.0

O'Reilly Media - Data

Roughly a year ago, we wrote “ What machine learning means for software development.” Up until now, we’ve built systems by carefully and painstakingly telling systems exactly what to do, instruction by instruction. In short, we can use machine learning to automate software development itself.

Software 261
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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

A multimodal embeddings model is designed to learn joint representations of different modalities like text, images, and audio. By training on large-scale datasets containing images and their corresponding captions, a multimodal embeddings model learns to embed images and texts into a shared latent space.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. Demand forecasting is chosen because it’s a very tangible problem and very suitable application for machine learning.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 67
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 50
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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

They identified four main categories: capturing intent, system design, human judgement & oversight, regulations. An AI system trained on data has no context outside of that data. Designers therefore need to explicitly and carefully construct a representation of the intent motivating the design of the system.