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

Meet Jason Mayes, the public face of Web ML at Google and host of Made With TensorFlow.js. Join us as we talk about Jason’s journey and mission to make machine learning easy, fun and accessible on the web and how getting into the field of machine learning has never been easier.   

Made With TensorFlow.js Playlist: http://goo.gle/made-with-tfjs 

Learn Web ML on Google Developers: https://goo.gle/Learn-WebML 

Connect with Jason on LinkedIn: https://goo.gle/3zcift1 

Connect with Jason on Twitter: https://goo.gle/3Xh6MT7 

Connect with Jason on Discord: https://goo.gle/3zeoMU1 

Guest bio: 

Jason Mayes is the public face of Web ML at Google. He helps web engineers around the globe take their first steps with machine learning in JavaScript, pushing the boundaries of what's possible in web-based machine learning which has grown exponentially. He also combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with over 15 years experience working within web engineering and investigating emerging technologies.

#AI #ML #MadeWithTFJS #WebML

Meet Sharon Zhou, an adjunct faculty member at Stanford University and co-founder of Stealth Startup. Join us as we talk about the power and interconnectedness of language as we dive into generative AI models, stable diffusion, large language models, and learn how every problem – according to Sharon – is just a translation problem. 

Check out Sharon’s startup here: https://goo.gle/3TENTJk 

Learn more about Sharon’s courses here:

Build Basic Generative Adversarial Networks (GANs) → https://goo.gle/3lr3AqU 

Build Better Generative Adversarial Networks (GANs) → https://goo.gle/3JAPgUA  

Apply Generative Adversarial Networks (GANs) → https://goo.gle/3ZdaoWK

CS236G Generative Adversarial Networks (GANs) → https://goo.gle/3TCVhEX 

Guest bio: Sharon Zhou is currently an adjunct faculty member at Stanford University where she defended her PhD (in an impressive 3.5 years) on generative AI models, advised by Andrew Ng. She is also the co-founder of Stealth Startup, working on democratizing access and ease of use of AI by making it easier to program and customize large language models. She has a passion for teaching AI and is currently teaching 80,000 students about GANs, diffusion models and more on Coursera, and was an AI advisor to key AI policymakers in Washington D.C. Fun facts about Sharon: she was the first student in the history of Harvard University to major in Classics and Computer Science, and is featured in MIT Technology Review's 35 Under 35. To top that, she is also a poet.

#AI #ML

Meet your hosts, Ashley Oldacre and Laurence Moroney, as we uncover what it means to be a person of AI. We talk about personal and professional journeys, lessons learned along the way, and how to get started in Artificial intelligence and Machine Learning. We share resources to get started and where we see the field going.

Learn about the TensorFlow Certificate Program  → https://goo.gle/TF-dev-certificate

Watch the AI for Anyone YouTube video series → https://goo.gle/AIfAnyone

All of the cool apps and products we mentioned can be found here → https://goo.gle/3JORHEB

Powered by TensorFlow: Air Cognizer predicts air quality with machine learning → https://goo.gle/3JhUaWt

#AI #ML

Join Ashley Oldacre, ML program manager at Google, and Laurence Moroney, ML Developer Advocate at Google, to hear the stories of some incredible people behind machine learning and artificial intelligence. Whether you’re just getting started in AI/ML, or looking to expand your established experience, these stories are for you. We hope you will tune in!