TitleDate
Episode 39: What is L1-norm and L2-norm?Jul 19, 2018 Listen
Episode 38: Collective intelligence (Part 2)Jul 17, 2018 Listen
Episode 38: Collective intelligence (Part 1)Jul 12, 2018 Listen
Episode 37: Predicting the weather with deep learningJul 09, 2018 Listen
Episode 36: The dangers of machine learning and medicineJul 03, 2018 Listen
Episode 35: Attacking deep learning modelsJun 29, 2018 Listen
Episode 34: Get ready for AI winterJun 22, 2018 Listen
Episode 33: Decentralized Machine Learning and the proof-of-trainJun 11, 2018 Listen
Episode 32: I am back. I have been building fitchainJun 04, 2018 Listen
Founder Interview – Francesco Gadaleta of FitchainMay 24, 2018 Listen
Episode 31: The End of PrivacyApr 02, 2018 Listen
Episode 30: Neural networks and genetic evolution: an unfeasible approachNov 21, 2017 Listen
Episode 29: Fail your AI company in 9 stepsNov 11, 2017 Listen
Episode 28: Towards Artificial General Intelligence: preliminary talkNov 04, 2017 Listen
Episode 27: Techstars accelerator and the culture of firefliesOct 30, 2017 Listen
Episode 26: Deep Learning and AlzheimerOct 23, 2017 Listen
Episode 25: How to become data scientist [RB]Oct 16, 2017 Listen
Episode 24: How to handle imbalanced datasetsOct 09, 2017 Listen
Episode 23: Why do ensemble methods work?Oct 03, 2017 Listen
Episode 22: Parallelising and distributing Deep LearningSep 25, 2017 Listen
Episode 21: Additional optimisation strategies for deep learningSep 18, 2017 Listen
Episode 20: How to master optimisation in deep learningAug 28, 2017 Listen
Episode 19: How to completely change your data analytics strategy with deep learningAug 09, 2017 Listen
Episode 18: Machines that learn like humansMar 28, 2017 Listen
Episode 17: Protecting privacy and confidentiality in data and communicationsFeb 15, 2017 Listen
Episode 16: 2017 Predictions in Data ScienceDec 23, 2016 Listen
Episode 15: Statistical analysis of phenomena that smell like chaosDec 05, 2016 Listen
Episode 14: The minimum required by a data scientistSep 27, 2016 Listen
Episode 13: Data Science and Fraud Detection at iZettleSep 06, 2016 Listen
Episode 12: EU Regulations and the rise of Data HijackersJul 26, 2016 Listen
Episode 11: Representative Subsets For Big Data LearningMay 03, 2016 Listen
Episode 10: History and applications of Deep LearningMar 14, 2016 Listen
Episode 9: Markov Chain Montecarlo with full conditionalsMar 02, 2016 Listen
Episode 8: Frequentists and BayesiansFeb 15, 2016 Listen
Episode 7: 30 min with data scientist Sebastian RaschkaFeb 15, 2016 Listen