SuperDataScience
Summary: The SuperDataScience podcast brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.
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Podcasts:
In this episode of the SuperDataScience Podcast, I chat with the Aspiring Data Scientist Virginia Mendonca. You will know how Virginia goes about understanding what skills she needs to learn and how to break into the space of data science, discuss about what steps to take when building a new career in a different space, and also talk about how goals and dreams are different and that how important your passion is to the success of your dreams. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/53
What are the particular things that you do where you could demonstrate getting these things done from start to finish? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/52
In this episode of the SuperDataScience Podcast, I chat with the Global Analytics Consultant Scott King. You will predominantly hear talks about Hadoop, get to learn and discuss about HDFS, MapReduce, Hive, Kudu, Spark, YARN & Seahorse, know what is a Data Lake and how it is useful, hear advices for public speaking and get some tips and tricks on how to prepare on Data Science presentations and prepare for your audiences. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/51
What are the tasks that you are now doing just by yourself that you think would be better accomplished within a team? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/50
In this episode of the SuperDataScience Podcast, I chat with the President and Founder of Tiber Solutions Jim Hadley. You will be able to learn a different approach to hiring, get great tips and hacks on how to build an analytics culture, you will also know about Star Schema and ETL, and be able to discover what a successful analytics workplace should look like. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/49
In what way do you think you can push yourself out of your comfort zone at some point within the next 7 days? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/48
In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn the idea to the question: why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/47
What if our consciousness has merely created a similar user interface for us to interact with reality? What will be your thoughts? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/46
In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to know how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences and be able to get ideas on how to be involved in a Kaggle competition. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/45
Do you feel being obliged to check your phone most of the time? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/44
In this episode of the SuperDataScience Podcast, I chat with AI Researcher Deblina Bhattacharjee. You will be able to discover about the great research opportunities around the world, learn about building an automated healthcare solution and know how to apply Fibonacci sequence to solve optimization problems. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/43
What do you think are the things that may help you reach your goals? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/42
In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and know about SAS Enterprise Miner. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/41
If you were given the chance to choose a guest to be interviewed on our podcast, who would that be, and what question would you most want to hear them answer to? If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/40
In this episode of the SuperDataScience Podcast, I chat with Director of Data Science at VSCO Ruben Kogel. You will be able to discuss about how to build a data culture in an organization, learn about setting up and analyzing A/B tests and know the ideal qualities of data scientists. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/39
