A Tale of Two Cultures: Integrating Data Science and MLOps to Build Successful ML Products
Open Data Science » Machine Learning
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2w ago
Editor’s note: Thomas Loeber is a speaker for ODSC East this April 23-25. Be sure to check out his talk, “Integrating Data Science and MLOps: How to structure a collaboration and handoff process,” there! When the excitement about data science became widespread about 10 years ago ..read more
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Is Synthetic Data a Reliable Option for Training Machine Learning Models?
Open Data Science » Machine Learning
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3w ago
Getting enough of the right data is one of the most persistent challenges in machine learning. Growing privacy concerns make this even more of an obstacle. Amid these difficulties, synthetic data has emerged as a promising solution.   What Is Synthetic Data? Synthetic data is information ..read more
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An Intro to Building Knowledge Graphs
Open Data Science » Machine Learning
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1M ago
Editor’s note: Sumit Pal is a speaker for ODSC East this April 23-25. Be sure to check out his talk, “Building Knowledge Graphs,” there! Graphs and Knowledge Graphs (KGs) are all around us. We use them every day without realizing it. GPS leverages graph data structures ..read more
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Low Code Time Series Analysis
Open Data Science » Machine Learning
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2M ago
Time Series Forecasting is a unique field in Machine Learning. When working with time series in fact there is an inherent time dependency between the different points in the series and therefore the different observations are highly dependent on each other. If you are interested in ..read more
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Transform Global Speech Into Local Language with TalkLocal
Open Data Science » Machine Learning
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2M ago
Imagine being able to understand every word spoken in your native tongue at a conference or meeting that is being held in a language that is unfamiliar to you. A system of such nature can instantly transcribe spoken utterances into text using sophisticated automatic speech recognition(ASR ..read more
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Upholding Data Quality in Machine Learning Systems
Open Data Science » Machine Learning
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4M ago
In the dazzling world of machine learning (ML), it’s quite effortless to get engrossed in the thrill of devising sophisticated algorithms, captivating visualizations, and impressive predictive models. Yet, much like the durability of a building depends not just on its visible structure but also its hidden ..read more
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Feature Store Architecture and How to Build One
Open Data Science » Machine Learning
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5M ago
As machine learning becomes increasingly integral to business operations, the role of ML Platform Teams is gaining prominence. These teams are tasked with developing or selecting the essential tools that enable machine learning to move beyond experimentation into real-world applications. One such indispensable tool is a ..read more
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Data Engineering vs Machine Learning Pipelines
Open Data Science » Machine Learning
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5M ago
Data engineering and machine learning pipelines are both very different but oddly can feel very similar. Many ML engineers I have talked to in the past rely on tools like Airflow to deploy their batch models. So I wanted to discuss the difference between data engineering ..read more
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Evaluating Clustering in Machine Learning
Open Data Science » Machine Learning
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5M ago
Clustering has always been one of those topics that garnered my attention. Especially when I was first getting into the whole sphere of machine learning, unsupervised clustering always carried an allure with it for me. To put it simply, clustering is rather like the unsung knight ..read more
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Organizational Processes for Machine Learning Risk Management
Open Data Science » Machine Learning
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5M ago
In our ongoing series on Machine Learning Risk Management, we’ve embarked on a journey to unravel the critical elements that ensure the trustworthiness of Machine Learning (ML) systems. In our first installment, we delved into “Cultural Competencies for Machine Learning Risk Management,” exploring the human dimensions ..read more
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