SuperDataScience

What do you do extremely well that no one else around you does quite as well and how can you leverage it? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/278

In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/277

How can you use these processes in your industry? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/276

In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/275

What has happened to you recently that could call for clarity from a mentor or coach? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/274

In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/273

How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/272

In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you wanted to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/271

How can you leverage this to help you focus on your work in data science? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/270

In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/269

How can you see data science disrupting and progressing insurance industry in the future? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/268

In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/267

Where are you overexploiting patterns in your life and where can you be more open to some exploration? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/266

In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/265

How do you see data science continuing to improve the world’s most important industry? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/264