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Data Works MD
Data Works MD consists of professionals, students, and enthusiasts living and working in the Maryland area that are interested in topics related to data science, data analytics, data products, software engineering, machine learning and other data engineering topics.
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Machine Learning Bookcamp: learn machine learning by doing projects and get the skills needed to work as a data scientist or machine learning engineer.
Big Data Things
Place to learn big data and data engineering.
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Tu nguyen is a software engineer with heavy interest in all things data. Mainly work on a Python/Django stack but willing to learn for the project.
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Machine Learning Engineer Web Developer & UI/UX Designer PhD Student Educator Hello,I amAniko Machine Learning I work with big data in order to build algorithms, derive regularities, and develop complex systems. In August 2020, I joined HTEC Group as a Machine Learning Engineer where I am working on a range of deep learning problems in […]
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Data Engineer @ Fossil. I blog about web development, machine learning, data engineering and more.
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Machine Learning, Data Science, Data and Software Engineering
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Marco Cavallo is a computer scientist and engineer currently working at Apple, Inc. in California. Marco's work focuses on data visualization in the context of machine learning and computer vision.
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Data Scientist & Machine Learning Engineer
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Bilingual posts regarding data science, machine learning, and some miscellaneous geeky stuff.
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Find a job in Data science, Data Engineering and Machine Learning
Find a job in Data science, Data Engineering and Machine Learning
Victoria Catterson
Data scientist working on engineering problems.
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Spatial Data Engineers and HERE Content Specialists
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The Data Engineering Podcast
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I help companies create data products and extract value from their data. I work with geospatial data, machine learning, and statistics.
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Data scientist | computer vision engineer | teacher | Freelancer in Berlin -> Work with me
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I'm a Data Engineer with 5+ years experience, specializing in the Machine Learning life cycle (MLOps). Working with e.g. Airflow, AWS, Azure, Databricks, Docker, Kubernetes, Neo4j, Python, Scala and...
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