Working AI: How a Passionate Engineer Went From Writing Code to Running a Company
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Working AI: How a Passionate Engineer Went From Writing Code to Running a Company

Dr. Benjamin Harvey, CEO of AI Squaredhas used machine learning to investigate environmental problems, aid cancer research, and probe the damage caused by national security leaks

BlueConduit's head of data science, Jared Webb, poses next to his work station.
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Working AI: How a Former Academic Helped Launch a Company That Makes Cities Healthier

Jared Webb, chief data scientist at BlueConduit, discusses his transition from academia to business, how he navigates the challenges of working with government data, and what he looks for in new hires. 

Eddy Shyu, Andrew Ng, and Aarti Bagul, who were part of the core team behind the new Machine Learning Specialization from DeepLearning.AI.
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Andrew Ng on How His Updated Machine Learning Specialization Can Help You Break Into AI

In the mid-2000s, AI was still just a curiosity to the world at large. At Stanford University, however, one of the most popular classes on campus was Andrew Ng’s CS229 machine learning course. Enrollment was frequently too large to fit in the classroom, yet he wanted even more people to be able to master machine learning.

So, working with a few students, he created an online Machine Learning course that could be taken by anyone with an internet connection and a desire to learn. The rest is history. Coursera launched in 2012 with Machine Learning as its flagship title. It was also the platform’s most popular, with almost 5 million enrollments.

This year, to celebrate the course’s 10 year anniversary, DeepLearning.AI and Stanford Online released a successor — the Machine Learning Specialization. Andrew spoke with us about how the new Specialization improves on the original, who should take it, and how it fits into the modern AI builder’s career arc.

Working AI: How an Accomplished Data Scientist Found Job Satisfaction
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Working AI: How an Accomplished Data Scientist Found Job Satisfaction

Kulsoom Abdullah pivoted from network security into a data science role after taking Andrew Ng’s original Introduction to Machine Learning course from Stanford in 2013. A self-described learning addict, she has taken more than 10 online courses, most recently the Deep Learning Specialization. Outside of work, she’s a fitness fanatic, and was the first competitive weightlifter to compete professionally for Pakistan — after winning a fight to change the dress code to allow religious head coverings. On top of all that, she’s a travel

Working AI: How a Determined Entrepreneur Used Deep Learning to Grow His Business
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Working AI: How a Determined Entrepreneur Used Deep Learning to Grow His Business

Kai Saksela is the CEO of NL Acoustics, a Finnish technology startup that designs and manufactures AI products to analyze sounds. He took the Deep Learning Specialization primarily because he loves learning new skills and has been fascinated by the field for a long time. He also had a hunch that neural networks would help his company solve a core problem: providing customers guidance on what they should do when their equipment starts making strange noises. He spoke with us about how his hunch paid off and why AI plays a central role in his company’s growth.

Working AI: Stoking GPU Clusters With Swetha Mandava
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Working AI: Stoking GPU Clusters With Swetha Mandava

Title: Senior Deep Learning Engineer, Nvidia Location: Santa Clara, California Education: Bachelor of Technology, Electronics and Communication Engineering, Manipal University; MS, Electrical and Computer Engineering, Carnegie Mellon University Favorite areas: Natural language processing, autoML, and interpretable AI Favorite researchers: Christopher…

Working AI: Building Bespoke Models With Jade Abbott
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Working AI: Building Bespoke Models With Jade Abbott

Jade Abbott turned a childhood desire for a robotic best friend into a career training computers to understand human language. Having studied AI in school, she got her first job coding conventional software, but she found ways to apply machine learning to her work until that became central to her role. In the meantime, she founded an open source project to train NLP models on African languages. She spoke with us about her fascination with language, the importance of community, and how to incorporate wine into your learning practice.

Working AI: Scheduling Pilots With Ronisha Carter
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Working AI: Scheduling Pilots With Ronisha Carter

Public service runs deep in Ronisha Carter’s family. Her mother was a Navy medical technician, and her father worked for the Air Force in information management. The two parents ignited a sense of curiosity and love of learning that led Ronisha and her siblings to explore technology. Her sister was the first in the family to earn a Bachelor’s degree, and her brothers became software developers. Ronisha joined the Air Force and went on to earn a Bachelor’s in computer science and a Master’s in computer engineering before carving a unique path for herself in AI.

Working AI: Transforming Real Estate With Jasjeet Thind
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Working AI: Transforming Real Estate With Jasjeet Thind

As a child, Jasjeet Thind led the other kids at his daycare to engage in shenanigans. He still exercises his leadership skills, but instead he uses them to organize Zillow’s army of engineers as they aim to automate everything about real estate. Thind became fascinated with data as a college student at Cornell University in the 1990s, and his career exploded along with the deep learning revolution. Read more.

Working AI: Adama Diallo on Computer Vision and Diversity in AI
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Working AI: Adama Diallo on Computer Vision and Diversity in AI

Growing up in Mauritania, Adama Diallo was fascinated by the human brain. Now, as an AI developer at the software company Paradigm, he’s using artificial intelligence to map architectural spaces. In this edition of our Working AI series, Adama discusses his projects, advice for learners, and views on social bias in the industry. Read more.

Working AI: At the Office with Research Scientist Archis Joglekar
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Working AI: At the Office with Research Scientist Archis Joglekar

While much of the AI revolution has served consumers, AI has a lot to offer to other aspects of society. I work at Noble.AI mainly because it gives me the opportunity to stay close to science.  At Noble.AI, we’re building software that speeds up the work of scientists, researchers, and engineers by 10 to 100 times.

Working AI: At the Office with Research Scientist Or Cohen
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Working AI: At the Office with Research Scientist Or Cohen

Or Cohen’s deep background in physics gave him the theoretical foundation to dive into machine learning. Now he’s prototyping new models at Lyft to boost the accuracy and efficiency of the ridesharing marketplace.

Working AI: At the Office with Senior MLE Omoju Miller
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Working AI: At the Office with Senior MLE Omoju Miller

Omoju Miller’s path to machine learning is anything but straightforward. She first discovered computer science more than twenty years ago as an undergrad at University of Memphis and never looked back.

Working AI: At the Office with VP of Applied Deep Learning Research Bryan Catanzaro
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Working AI: At the Office with VP of Applied Deep Learning Research Bryan Catanzaro

Bryan Catanzaro began his career designing microprocessors. Now he leads a team of 40 researchers pushing the boundaries of deep learning at Nvidia.

Working AI: At the Office with Principal Data Scientist Mihajlo Grbovic
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Working AI: At the Office with Principal Data Scientist Mihajlo Grbovic

In my line of work–recommending items to users and ranking the items in their searches–the objective is almost impossible to define because the perfect recommendation or ranking does not exist.

Working AI: In the Classroom with Younes Mourri
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Working AI: In the Classroom with Younes Mourri

Younes is both Masters student and Lecturer at Stanford University. Rather than cutting-edge research, Younes focuses on AI education. He has developed content for the most popular Machine Learning and Deep Learning courses in the world…

Working AI: At the Office with MLE Ruben Sipos
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Working AI: At the Office with MLE Ruben Sipos

Location: San Francisco, California Age: 33 Education: B.Sc. in Computer Science and Mathematics, 2009, University of Ljubljana, PhD in Computer Science, 2014, Cornell University Years in industry: 5 Favorite movie: Event Horizon (1997) Favorite machine learning researcher: Thorsten…

Working AI: At the Office with Research Engineer Will Wolf
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Working AI: At the Office with Research Engineer Will Wolf

  How did you first get started in AI? I’ve always loved mathematics. When I was a teenager, I was what I call a semi-professional internet poker player. This left three profound marks on my…

Working AI: In the Lab with NLP PhD Student Abigail See
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Working AI: In the Lab with NLP PhD Student Abigail See

Abi See made the transition from pure math to deep learning. Now she aims to turn computers into storytellers.

Working AI: At the Office with Data Scientist Joe Gambino
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Working AI: At the Office with Data Scientist Joe Gambino

Working at IDEO has let me work on a wide range of problems: I’ve used clustering and dimensionality reduction to create a prototype that communicates health data while encouraging empathy and engagement. I’ve run traffic simulations to assess the size of delivery markets and prototyped animated, interactive explanations inspired by those simulations. I’ve built internal React web-apps for collecting data and texting customers.