Interview with Andrew Jones, Mr, DATA SCIENCE INFINITY

It was an immense pleasure to host a discussion with Andrew Jones from DATA SCIENCE INFINITY as a part of the Data Science Interview Series . The experience that he gained over the years has made his responses profound and explicit. His elucidation on the difference between data science and data engineering with the FIFA football match as […]

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Interview with Gregory Piatetsky, President, KDnuggets

Gregory Piatetsky-Shapiro, Ph.D., is the president of KDnuggets. He is a well-known expert in Business Analytics, Data Mining, and Data Science and a top influencer in the field. His specialties include Data Mining, Business Analytics, Data Science, Predictive Analytics. This interview as a part of Data Science Interview Series  with Gregory Piatetsky from KDnuggets has been extremely an

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Interview with Kristen Davis, Data Science Student, Flatiron School

We thank Kristen Davis from Flatiron School for taking part in the Data Science Interview Series and sharing her journey of diving into data science, resources tapped on to learn more and her inspirations on “why data science?”. Sit back and get ready for some amazing inspirational answers! Don’t try and learn it all at

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Interview with Daniele Micci-Barreca, Product Analytics Lead, Data Science, Google

We thank Daniele Micci-Barreca from Google for taking part in the Data Science Interview Series and sharing several valuable insights, including: The key skills required for a Data Scientist and the most prominent challenges faced Resources that can help a data scientist hone their skills Personal experiences in the Data Science and AI field Challenges

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Interview with Dipanjan Sarkar, Lead Data Scientist, Propulsion Academy Zurich

Dipanjan Sarkar, or DJ as we all like to call him, is one of the leaders and influencers in Data Science who has been doing a lot for the community- be it through live sessions or courses. This interview with DJ is one of the most enriching ones as he unfolds all his learnings throughout

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Probability for Data Science

Probability and Statistics form the core of Data Science. Probability gives us the capability to quantify how probable are the outcomes given the data at hand. The use of probability is most required when dealing with classification problems. The Machine Learning algorithm outputs the probability of the instance being of each of the classes. Probability

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AI-Generated Music

Gone are the days of AI being considered a myth by non-tech industries. AI today is present everywhere, and it is real. A couple of generations ago, composing music meant that the composer needed to build the compositions with the help of their computer and make tunes/melodies that the crowd will love to listen to.

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Interview with Olga Ivina, Senior Data Science Delivery Manager, Microsoft

We thank Olga Ivina, Senior Data Science Delivery Manager, from Microsoft for taking part in this data science leaders interview series and sharing some amazing insights including: The soft and hard skills that are required by data scientists today Recent developments in AI and ML Staying up to date with the latest in data science

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What is it like being an Associate Editor?

An Interview with our Associate Editor: Nisha Arya Ahmed Question: Tell us a bit about yourself. Nisha: I have always loved writing. It stemmed from when I was 14 years old and I enjoyed studying English Literature and Language at GCSE level. I went into writing my own book, poems along with reading books from

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Interview with Jarrod Teo, Chief Data Scientist, Direct Sourcing Solutions

Jarrod Teo is the Chief Data Scientist for Direct Sourcing Solutions, a company that provides services that help businesses improve their overall requirements and strategy, leading to a refined and enhanced transformation, management, and reduction of costs. We at AI Time Journal would like to thank Jarrod Teo from Direct Sourcing Solutions for taking part in this interview and sharing

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