Data Science at Home

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Episode 30: Neural networks and genetic evolution: an unfeasible approach

Episode 29: Fail your AI company in 9 steps

Episode 28: Towards Artificial General Intelligence: preliminary talk

Episode 27: Techstars accelerator and the culture of fireflies

Episode 26: Deep Learning and Alzheimer

Episode 25: How to become data scientist [RB]

Episode 24: How to handle imbalanced datasets

Episode 23: Why do ensemble methods work?

Episode 22: Parallelising and distributing Deep Learning

Episode 21: Additional optimisation strategies for deep learning

Episode 20: How to master optimisation in deep learning

Episode 19: How to completely change your data analytics strategy with deep learning

Episode 18: Machines that learn like humans

Episode 17: Protecting privacy and confidentiality in data and communications

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