deep-learning

ML/AI

Business Analytics

Eliot Knudsen, Field Architect at Tamr, on the business value of prescriptive analytics and machine learning algorithms.

Machine learning for procurement analytics

In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 001 : Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2

SDS 002 : Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves

In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3

SDS 003 : Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

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

SDS 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

Tired of waiting in checkout lines? Malong Technologies offers technology that may one day let you grab what you want and go. We spoke to this startup about how it's turning its prowess in some of the world's top image recognition contests into a service businesses can use to put image recognition to work.

Ep. 40: Using Deep Learning to Scan Your Shopping Basket

Jon Matonis was Executive Director of the Bitcoin Foundation until December 2014 and served as a board director for the group from its 2012 inception to the time he assumed the executive director position in 2013. He is considered the foremost authority on virtual currencies, private currencies, and burgeoning e-money instruments such as Bitcoin, Gridcoin, social game credits, and stored value.

Jon Matonis De-centralized Global Trade

Think you've got no artistic talent? You do now. Vincent AI is an application that lets you pick up a stylus, sketch out a few lines on a screen, and watch as your scribbles are turned into a work of art inspired by one of seven artistic masters. We speak with Monty Barlow, machine learning director for Cambridge Consultants, the technology development house behind this amazing demo.

Ep. 43: How Vincent AI Uses a Generative Adversarial Network to Let You  Sketch Like Picasso

Election polling is an inexact science. If you've been paying attention to American politics at all over the past year or two, you don't need us to tell you that. But what if instead of asking voters their opinions on the candidates or the issues you took a different approach, one that involves artificial intelligence... and cars. Joining us for this edition of the AI podcast is Timnit Gebru, a post-doctoral researcher at Microsoft Research in New York and a newly minted PhD from the Stanford Artificial Intelligence Laboratory. Timnit is co-author of a paper titled "Using Deep learning and Street View to Estimate the Demographic Makeup of Neighborhoods Across the United States."

What Street View Can Tell You About How People Will Vote

Ep. 44: Forget Polls, Here's What Street View, and AI, Can Tell You About How People Will Vote

Love. The search for love. The search even for someone you just kind of like. It's been the subject of poems, novels, songs, you name it. For as long as humans have been around, they've been looking for love. But what if you could use AI to automate the process? To help you with everything from finding your true match, to swiping through all those not quite true matches. Oscar Alsing, our guest on this episode, will talk about how he's used AI, and Tinder, to do just that.

Ep. 45: How to Use AI, and Tinder, to Hack the Dating Scene

In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at the Australian Federal Government, Dr. Alex Antic. You will know how Alex loves meet-ups and how he spreads the word about data science, learn the 3 things you need to build a successful data practice, know the 4 point framework in becoming an effective data scientist and listen to his incredible career journey, including investment banks, insurance & government.

SDS 121: Building a Successful Data Science Practice and How to be an Effective Data Scientist

AI is being used to enhance and improve life in varied and often incredible ways. But what if we could use AI to improve the end of our lives, too? Our guest today is Anand Avati, a graduate student in the Artificial Intelligence Lab at Stanford University's Computer Science Department. Anand is co-author of a research paper entitled "Improving Palliative Care with Deep Learning" which details his team's use of a deep learning system to predict patient mortality with the aim of improving access to palliative care for critically-ill patients.

How AI Can Improve Access to Palliative Care

Ep. 47: How AI Can Improve Access to Palliative Care

In this episode of the SuperDataScience Podcast, I chat with Data Science Thought Leader, Eugene Dubossarsky. You will talk about the one purpose to data science, learn how to distinguish real data science from fake analytics, discuss large-scale data science consulting, and get ideas on how executives should think about data science in the years to come.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/131

SDS 131: The One Purpose to Data Science and The Truth about Analytics

How do you think will your organization become more data-driven this month?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/132

SDS 132: The Data-Driven Executive

In this episode of the SuperDataScience Podcast, I chat with the Project Leader at The Boston Consulting Group, Artem Vladimirov. You will learn the different aspects of supply chain analytics and consulting, discuss the data science used for solving supply chain challenges, and know how to get into, survive and succeed in a worldwide consulting firm. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/141

SDS 141: Supply Chain Analytics, Worldwide Consulting and Learning Data Science In Your Career

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

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, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 131: The One Purpose to Data Science and The Truth about Analytics

Super Data Science: ML & AI Podcast with Jon Krohn