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Rocks, data science, and breaking into Machine Learning
Manage episode 360018268 series 3458329
Content provided by Google Developer Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Google Developer Podcasts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Meet Catherine Nelson, Principal Data Scientist at SAP Concur and author of the upcoming O’Reilly book “Software Engineering for Data Scientists”. Join us as we talk about Catherine's amazing career journey as she pivoted from geophysicist to working on setting the standard for building machine learning pipelines. According to Catherine, it all starts with how you prepare and train your data!
Resources: Building Machine Learning Pipelines → https://goo.gle/3nLBpDI
Software Engineering for Data Scientists → https://goo.gle/3Kz3F5u
TensorFlow Meets → https://goo.gle/43a8yZN
Twitter →https://goo.gle/3m8b0zq
LinkedIn →https://goo.gle/3ZJmd7o
Guest bio:
Catherine Nelson is a data scientist and author of the upcoming O’Reilly book “Software Engineering for Data Scientists”. She is a Principal Data Scientist at SAP Concur, where she explores innovative ways to deliver production machine learning applications which improve a business traveler’s experience. Her key focus areas range from ML explainability and model analysis to privacy-preserving ML. She is also co-author of the O'Reilly publication “Building Machine Learning Pipelines", and she is an organizer for Seattle PyLadies, supporting women who code in Python. In her previous career as a geophysicist she studied ancient volcanoes and explored for oil in Greenland. Catherine has a PhD in geophysics from Durham University and a Masters of Earth Sciences from Oxford University.
#AI #ML
34 episodes
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Manage episode 360018268 series 3458329
Content provided by Google Developer Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Google Developer Podcasts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Meet Catherine Nelson, Principal Data Scientist at SAP Concur and author of the upcoming O’Reilly book “Software Engineering for Data Scientists”. Join us as we talk about Catherine's amazing career journey as she pivoted from geophysicist to working on setting the standard for building machine learning pipelines. According to Catherine, it all starts with how you prepare and train your data!
Resources: Building Machine Learning Pipelines → https://goo.gle/3nLBpDI
Software Engineering for Data Scientists → https://goo.gle/3Kz3F5u
TensorFlow Meets → https://goo.gle/43a8yZN
Twitter →https://goo.gle/3m8b0zq
LinkedIn →https://goo.gle/3ZJmd7o
Guest bio:
Catherine Nelson is a data scientist and author of the upcoming O’Reilly book “Software Engineering for Data Scientists”. She is a Principal Data Scientist at SAP Concur, where she explores innovative ways to deliver production machine learning applications which improve a business traveler’s experience. Her key focus areas range from ML explainability and model analysis to privacy-preserving ML. She is also co-author of the O'Reilly publication “Building Machine Learning Pipelines", and she is an organizer for Seattle PyLadies, supporting women who code in Python. In her previous career as a geophysicist she studied ancient volcanoes and explored for oil in Greenland. Catherine has a PhD in geophysics from Durham University and a Masters of Earth Sciences from Oxford University.
#AI #ML
34 episodes
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Similar to People of AI
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Get the most out of your home theater with the latest advances, product reviews, and all things audio and video. Every Thursday, Scott Wilkinson shares his expertise, energy, and enthusiasm about how to make your A/V system sound and look its best. In this short-format podcast, Scott brings you news, reviews, interviews, and commentary, and answers your questions. You can join Club TWiT for $10 per month and get ad-free audio and video feeds for all our shows plus everything else the club of ...
…
continue reading
The 21st Century began with the rise of the Internet and social media. The next decade will mark the rise of the Intelligent Machines. AI will inhabit all our devices from cars and appliances to smart phones and robots. The Intelligent Machines podcast explores the most exciting revolution humanity has ever seen, filled with promise and peril. More than ever we need to understand what these new devices will bring to our lives and how to make best use of them as the 21st century unfolds. On t ...
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
…
continue reading
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
1
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
1k756
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
…
continue reading
Material is a weekly discussion about the Google and Android universe. Your intrepid hosts try to answer the question, “What holds up the digital world?” The answer, so far, is that it’s Google all the way down. Hosted by Andy Ihnatko and Florence Ion.
…
continue reading
WSJ’s Bold Names brings you conversations with the leaders of the bold-named companies featured in the pages of The Wall Street Journal. Hosts Tim Higgins and Christopher Mims speak to CEOs and business leaders in interviews that challenge conventional wisdom and take you inside the decisions being made in the C-suite and beyond.
…
continue reading
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