The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Sam Charrington
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May 16, 2019 • 43min

Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

Genevera Allen, an associate professor of statistics at Rice University, shares her insights on trust in machine learning discoveries. She discusses the challenges of reproducibility in scientific research, especially in biomedical fields. Genevera reflects on her impactful talk at the AAAS conference, addressing audience reactions and future research directions. The conversation also emphasizes the importance of statistical methods in validating results and the need for better education and terminology in the application of machine learning to scientific research.
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May 13, 2019 • 38min

Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265

Join Ahmed Elgammal, a Rutgers University professor and director of the Art and Artificial Intelligence Lab, as he takes us through the fascinating world of AI-generated art. Discover the innovative AICAN project, which creates original portraits using a blend of AI and centuries of artistic tradition. Elgammal discusses the delicate balance of aesthetics in Generative Adversarial Networks and how AI mirrors the evolution of artistic styles. Dive into the future of creativity, where machines collaborate with human artists to redefine artistic boundaries!
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May 10, 2019 • 42min

Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264

Rebecca Bilbro, Head of Data Science at ICX Media and co-creator of the YellowBrick visualization library, shares her fascinating journey in toolmaking. She discusses how YellowBrick enhances machine learning visualization and its innovative applications, including natural language processing. Listeners will learn about the significance of part of speech ratios in categorizing document types and how classification techniques can bolster regression analysis. Bilbro also emphasizes the role of visual tools in model selection and performance tracking.
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May 9, 2019 • 38min

Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263

Brian McFee, an assistant professor at NYU and the creator of the Librosa library, shares his journey in music technology and data science. He discusses the core functions of Librosa for audio processing, the challenges of beat tracking in music, and his experience developing a jazz search engine. McFee also highlights workflows for audio analysis using Python, showcasing essential tools like Fast Fourier Transforms and visualization techniques. His insights aim to make audio analysis more accessible and insightful for developers.
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May 7, 2019 • 49min

Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262

Ines Montani, co-founder of Explosion and lead developer of spaCy and Prodigy, dives into the world of natural language processing. She shares insights on the journey of developing spaCy as an accessible NLP tool for industry. They discuss the importance of community contributions, the balance between open-source and commercial products, and advancements like transfer learning. Ines highlights lessons learned from project failures and the significance of validating ideas through user experience, all while maintaining a resilient team culture.
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May 6, 2019 • 34min

Scaling Jupyter Notebooks with Luciano Resende - TWiML Talk #261

Luciano Resende, an Open Source AI Platform Architect at IBM, dives into the world of Jupyter Notebooks and scaling challenges. He discusses the evolution of JupyterHub and Enterprise Gateway, emphasizing their roles in data science and multi-user environments. The conversation touches on enhancing collaboration through better integration with Git and shared file systems. Luciano shares success stories from IBM Watson Studio and PayPal, and highlights exciting developments planned for the next version of Enterprise Gateway, focusing on Kubernetes optimization.
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May 3, 2019 • 59min

Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260

Delip Rao, Vice President of Research at the AI Foundation and co-author of Natural Language Processing with PyTorch, dives into the complex world of fake news and deep fakes. He discusses innovative strategies for detecting artificial content across various media, including text and audio. Rao highlights the role of GANs in both creating and combating misinformation. He also shares insights from his journey in AI, emphasizing the collaboration needed among researchers and journalists to tackle these pressing challenges.
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May 1, 2019 • 38min

Maintaining Human Control of Artificial Intelligence with Joanna Bryson - TWiML Talk #259

Joanna Bryson, a Reader at the University of Bath, dives into the fascinating world of AI ethics and the interplay between natural and artificial intelligence. She discusses the crucial need for human oversight in AI development, unpacking ethical implications and misconceptions. Bryson emphasizes empowering AI engineers to engage with societal impacts and the importance of governance in AI accountability. Her insights advocate for a sustainable approach to technology, reminding us that AI is ultimately a tool shaped by our moral responsibilities.
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Apr 29, 2019 • 45min

Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand - TWiML Talk #258

Pankaj Goyal, Vice President for AI and HPC Product Management at HPE, and Rochna Dhand, Director of Product Management for HPE InfoSight, dive into the transformative power of AI in enterprise IT. They explore HPE's vision for AI, emphasizing real-world deployment through InfoSight’s self-management capabilities. The conversation touches on the importance of sensors in storage devices and how AI and IoT fuel operational efficiency. They also address the shift to service-oriented IT models and the critical role of robust data management in successful AI adoption.
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Apr 26, 2019 • 52min

Organizing for Successful Data Science at Stitch Fix with Eric Colson - TWiML Talk #257

Eric Colson, Chief Algorithms Officer at Stitch Fix, shares insights from his journey in data science, emphasizing the need for a robust organizational framework. He reveals three key principles for structuring data science teams that enhance decision-making. The conversation dives into the role of data science in recommendation systems, inventory management, and demand forecasting, showcasing how over 800 algorithms optimize operations. Colson also discusses the importance of collaboration and adaptability in developing innovative solutions.

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