Founder and CTO at DataWorks
Allen is the founder and CEO of "The DataWorks," delivering AI-driven e-commerce web-data solutions to top-tier organizations worldwide. He is also a Microsoft Most Valuable Professional and has been appointed to the prestigious role of Microsoft Regional Director. Allen is an avid technical and business community contributor, sharing knowledge wherever anyone will listen. He organizes, assists, and speaks at conferences big and small internationally. He has written over 250 articles, and his current readership exceeds 4m worldwide.
So you've mastered the art of web data collection; what next? In this fast-paced session, Allen will explore how to use Machine Learning (ML) to turn text-based web data into valuable information-rich insights using open-source tools and technologies. By the end of the session, you'll understand why ML for text-based web data is essential and be aware of the most practical and latest advances. Most importantly, you'll know enough to start asking questions about how you can improve the insights you get from the wonderful public data you've scraped!
In this session, you'll:
Find out why Machine Learning (ML) for text is critical for web data analysis;
Discover cutting-edge techniques explained simply;
Gain knowledge to improve the insights you get from your web data;
Learn about open-source tools and technologies for turning text-based web data into valuable information.
Coming from different industries and backgrounds but united in common passion and aspirations, these web scraping experts will share their experiences and answer your questions.
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