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AI Mentors E31: Paul Brenner, Head of Data Science at PlaceIQ

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Paul Brenner, Head of Data Science at PlaceIQ joins host JP Valentine on the AI Mentors podcast to tell you about how he grew the data science function at PlaceIQ, deciding when to apply Machine Learning in your business, how to build a high-performing data science team and his top interview tips.

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Making the move from Analyst to Data Scientist

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From a career standpoint, the roles of analyst and data scientist are more complementary instead of one position being at a higher level than the other. However, if you want to become a data scientist, and that is a personal goal for you, then you’ve come to the right place.

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Data Science: Dealing with rejection after an interview

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Interview rejection can be hard to take, especially when you felt like everything was 100% going your way and suddenly it's all over. We understand that this can be tough, so here are some things to keep in mind when dealing with rejection after an interview.

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3 Data Science Skills To Hone In 2020

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With more and more interest in Data Science as a career choice, the competitiveness in the market is only set to increase, to stay ahead of the competition, it is vital to prioritise your professional development or risk being surpassed by a workforce with a more diverse skillset.

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AI in Action E63: Erik Pfannmöller, CEO and Founder at Solvemate

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Erik Pfannmöller, CEO and Founder at Solvemate in Berlin joins host Anthony Kelly on the AI in Action podcast to discuss the inspiration for setting up Solvemate, how their chatbot is improving the customer experience, benefits they bring, why they chose not to apply NLP in their business and more.

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How to turn your Java skills into a career in Machine Learning

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How can developers leverage their Java skills to get into machine learning? We suggest the following steps such as understanding the fundamentals, practice implementing machine learning models with Java workbenches, working with different Java machine learning libraries, and more.

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