Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Use-Case Driven ML Platforms with Franziska Bell - #307, Live from TWIMLcon! with Sushil Thomas - #429, Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428, Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427, Fighting Global Health Disparities with AI w/ Jon Wang - #426, NLP for Equity Investing with Frank Zhao - #424, The Future of Education and AI with Salman Khan - #423, Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422, What's Next for Fast.ai? with Genevera Allen - TWiML Talk #266, Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265, Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264, Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263, Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262, Scaling Jupyter Notebooks with Luciano Resende - TWiML Talk #261, Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260, Maintaining Human Control of Artificial Intelligence with Joanna Bryson - TWiML Talk #259, Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand - TWiML Talk #258, Organizing for Successful Data Science at Stitch Fix with Eric Colson - TWiML Talk #257, End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256, Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255, cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254, Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253, Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252, Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251, Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250, Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249, Empathy in AI with Rob Walker - TWiML Talk #248, Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247, Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245, *Bonus Episode* A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246, Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244, Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243, Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242, Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241, The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240, Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239, Active Learning for Materials Design with Kevin Tran - TWiML Talk #238, Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237, Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236, Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235, Dissecting the Controversy around OpenAI's New Language Model - TWiML Talk #234, Human-Centered Design with Mira Lane - TWiML Talk #233, Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232. Operationalizing ML at Scale with Hussein Mehanna - #306, Live from TWIMLcon! w/ Jeremy Howard - #421. Scaling ML in the Traditional Enterprise - #309, Live from TWIMLcon! - #393, What the Data Tells Us About COVID-19 with Eric Topol - #392, The Case for Hardware-ML Model Co-design with Diana Marculescu - #391, Computer Vision for Remote AR with Flora Tasse - #390, Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389, How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388, AI for High-Stakes Decision Making with Hima Lakkaraju - #387, Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386, Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385, Machine Learning Commerce at Square with Marsal Gavalda - #384, Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383, Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382, 2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381, Panel: Advancing Your Data Science Career During the Pandemic - #380, On George Floyd, Empathy, and the Road Ahead, Engineering a Less Artificial Intelligence with Andreas Tolias - #379, Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378, The Physics of Data with Alpha Lee - #377, Is Linguistics Missing from NLP Research?