Deep Learning for Live-Cell Imaging with David Van Valen
In today’s show, I sit down with David Van Valen, assistant professor of Bioengineering & Biology at Caltech.
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Deep Learning for Live-Cell Imaging with David Van Valen
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_DV_141.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_DV_141.jpgIn today’s show, I sit down with David Van Valen, assistant professor of Bioengineering & Biology at Caltech.
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Checking in with the Master with Garry Kasparov
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Exploring AI-Generated Music with Taryn Southern
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Practical Deep Learning with Rachel Thomas
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_RT_138.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_RT_138.jpgIn this episode, i’m joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algebra course.
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Kinds of Intelligence: Types, Tests & Meeting the Needs of Society w/ Jose Hernandez-Orallo
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_JH_137.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_JH_137.jpgIn this episode, I’m joined by Jose Hernandez-Orallo, professor in the department of information systems and computing at Universitat Politècnica de València and fellow at the Leverhulme Centre for the Future of Intelligence, working on the Kinds of Intelligence Project.
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Taming arXiv w/ Natural Language Processing with John Bohannon
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_JB_136.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_JB_136.jpgIn this episode i’m joined by John Bohannan, Director of Science at AI startup Primer.
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Epsilon Software for Private Machine Learning with Chang Liu
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_CL_134.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_CL_134.jpgIn this episode, our final episode in the Differential Privacy series, I speak with Chang Liu, applied research scientist at Georgian Partners, a venture capital firm that invests in growth stage business software companies in the US and Canada.
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Scalable Differential Privacy for Deep Learning with Nicolas Papernot
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_NP_134.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_NP_134.jpgIn this episode of our Differential Privacy series, I’m joined by Nicolas Papernot, Google PhD Fellow in Security and graduate student in the department of computer science at Penn State University.
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Differential Privacy at Bluecore with Zahi Karam
https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_ZK_133.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/05/TWIMLAI_Background_800x800_ZK_133.jpgIn this episode of our Differential Privacy series, I’m joined by Zahi Karam, Director of Data Science at Bluecore, whose retail marketing platform specializes in personalized email marketing.
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Differential Privacy Theory & Practice with Aaron Roth
https://twimlai.com/files/2018/04/TWIMLAI_Background_800x800_AR_132-1.jpg 800 800 This Week in Machine Learning & AI This Week in Machine Learning & AI https://twimlai.com/files/2018/04/TWIMLAI_Background_800x800_AR_132-1.jpgIn the first episode of our Differential Privacy series, I’m joined by Aaron Roth, associate professor of computer science and information science at the University of Pennsylvania.
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Optimal Transport and Machine Learning with Marco Cuturi
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Collecting and Annotating Data for AI with Kiran Vajapey
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