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O'Reilly Data Show Podcast - deep links to episodes

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Oct 10 2019:Machine learning for operational analytics and business intelligence
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Sep 26 2019:Machine learning and analytics for time series data
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Sep 12 2019:Understanding deep neural networks
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Aug 29 2019:Becoming a machine learning practitioner
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Aug 15 2019:Labeling, transforming, and structuring training data sets for machine learning
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Aug 1 2019:Make data science more useful
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Jul 18 2019:Acquiring and sharing high-quality data
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Jul 3 2019:Tools for machine learning development
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Jun 20 2019:Enabling end-to-end machine learning pipelines in real-world applications
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Jun 9 2019:Bringing scalable real-time analytics to the enterprise
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May 23 2019:Applications of data science and machine learning in financial services
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May 9 2019:Real-time entity resolution made accessible
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Apr 25 2019:Why companies are in need of data lineage solutions
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Apr 11 2019:What data scientists and data engineers can do with current generation serverless technologies
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Mar 28 2019:It’s time for data scientists to collaborate with researchers in other disciplines
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Mar 14 2019:Algorithms are shaping our lives—here’s how we wrest back control
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Feb 28 2019:Why your attention is like a piece of contested territory
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Feb 14 2019:The technical, societal, and cultural challenges that come with the rise of fake media
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Jan 31 2019:Using machine learning and analytics to attract and retain employees
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Jan 17 2019:How machine learning impacts information security
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Jan 3 2019:In the age of AI, fundamental value resides in data
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Dec 20 2018:Trends in data, machine learning, and AI
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Dec 6 2018:Tools for generating deep neural networks with efficient network architectures
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Nov 21 2018:Building tools for enterprise data science
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Nov 8 2018:Lessons learned while helping enterprises adopt machine learning
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Oct 25 2018:Machine learning on encrypted data
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Oct 11 2018:How social science research can inform the design of AI systems
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Sep 27 2018:Why it’s hard to design fair machine learning models
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Sep 13 2018:Using machine learning to improve dialog flow in conversational applications
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Aug 30 2018:Building accessible tools for large-scale computation and machine learning
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Aug 16 2018:Simplifying machine learning lifecycle management
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Aug 2 2018:How privacy-preserving techniques can lead to more robust machine learning models
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Jul 19 2018:Specialized hardware for deep learning will unleash innovation
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Jul 5 2018:Data regulations and privacy discussions are still in the early stages
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Jun 21 2018:Managing risk in machine learning models
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Jun 7 2018:The real value of data requires a holistic view of the end-to-end data pipeline
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May 24 2018:The evolution of data science, data engineering, and AI
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May 10 2018:Companies in China are moving quickly to embrace AI technologies
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Apr 26 2018:Teaching and implementing data science and AI in the enterprise
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Apr 12 2018:The importance of transparency and user control in machine learning
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Mar 29 2018:What machine learning engineers need to know
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Mar 15 2018:How to train and deploy deep learning at scale
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Mar 6 2018:Using machine learning to monitor and optimize chatbots
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Mar 1 2018:Unleashing the potential of reinforcement learning
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Feb 15 2018:Graphs as the front end for machine learning
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Feb 1 2018:Machine learning needs machine teaching
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Jan 18 2018:How machine learning can be used to write more secure computer programs
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Jan 4 2018:Bringing AI into the enterprise
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Dec 21 2017:How machine learning will accelerate data management systems
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Dec 7 2017:Machine learning at Spotify: You are what you stream
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Nov 22 2017:The current state of Apache Kafka
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Nov 9 2017:Building a natural language processing library for Apache Spark
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Oct 26 2017:Machine intelligence for content distribution, logistics, smarter cities, and more
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Oct 12 2017:Vehicle-to-vehicle communication networks can help fuel smart cities
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Sep 28 2017:Transforming organizations through analytics centers of excellence
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Sep 14 2017:The state of machine learning in Apache Spark
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Aug 31 2017:Effective mechanisms for searching the space of machine learning algorithms
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Aug 17 2017:How Ray makes continuous learning accessible and easy to scale
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Aug 3 2017:Why AI and machine learning researchers are beginning to embrace PyTorch
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Jul 20 2017:How big data and AI will reshape the automotive industry
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