SuperDataScience

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DataScience

In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, we take a listener question about unbalanced data, plus we talk with Doug Eck of Google’s Magenta project. 

Generative Art and Hamiltonian Monte Carlo

One of the most memorable moments from this interview is when our guest mentioned that Larry Page hired him to solve intelligence; very few people can say this, and this says something about today’s guest, Dr. Nando de Freitas - a senior researcher at Google and professor at Oxford - as well as the gravity of his present work. Today, I speak with Nando about a topic well known through his research at Google, deep learning. de Freitas gives his perspective on the basics of deep learning, the applications in conversational interfaces and recognizing images and videos, and what the future of this technology might look like in the nearer future.

DeepMind's Nando de Freitas - Why Deep Learning is Like Building with Legos

In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, we take a listener question about tuning hyperparameters,  plus we talk with Eric Lander of the Broad Institute. 

Eric Lander and Restricted Boltzmann Machines

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

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

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 Up and Rising Tableau Expert Megan Putney. You will know about how Megan started with Tableau through online learning, learn about know about Ad Hoc Analytics and gain some powerful Tableau insights.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/12

SDS 012 : Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney

In this episode of the SuperDataScience Podcast, I chat with Marketing Expert Sam Flegal. You will know about the essential roles of data in marketing, learn about statistical significance, and get insights and advices about management and career.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/23

SDS 023 : Data in Marketing, Statistical Significance and Management and Career Advice

In this episode of the SuperDataScience Podcast, I chat with Vice President of Finance Aziz Mamatov. You will get advices on how to choose a career, learn about the disruptions in the financial industry landscape and get to know about application stacks. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/27

SDS 027 : Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov

In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will be able to learn and assess on Experfy, get to discuss data science application case studies and know the secret to data science success.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/37

SDS 037: Develop your Dream Data Science Career with Experfy

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

SDS 041: An Inspiring Journey from a Totally Different Background to Data Science

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

SDS 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

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

With more and more cyber-attacks in the headlines, including this year's NHS attack, BBC Information security specialist Andrea Walker and BBC News technology broadcast journalist Chris Foxx cut through the jargon to show you how to defend yourself against online threats.

"We have to keep our information safe so we're not letting other people know where our children are, or our bank details, or where we're going on holiday."– Andrea Walker

In this podcast you'll learn about:

- the significance of cyber-security
- the different types of online risks
- spotting hazards
- protecting your social media

Find out more about BBC Academy:
Website – www.bbc.co.uk/academy 
Facebook – www.facebook.com/bbcacademy  
Twitter – www.twitter.com/bbcacademy

Cyber-security: How to protect yourself online

In this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will discuss about the future of AI & what the world of future could look like, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/85

SDS 085: The AI Revolution – What the Future Will Look Like

In this episode of the SuperDataScience Podcast, I chat with Meetup organizer and enthusiast, Mary Loubele. You will know how to organize your first Meetup group, learn the ways on how to encourage people in Meetups to interact with each other, and discuss the current state of deep learning and NLP. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/157

SDS 157: The Amazing World of a Data Science Meetup

Speaker(s): Nicholas Phillipson, Professor Lord Skidelsky | Robert Skidelsky and Nicholas Phillipson discuss how the philosophies of Keynes and Smith helped shape their influential economic ideas and examine how each has influenced social and political change. Wed, 6 Oct 2010 18:30:00 GMT

The Economist as Philosopher: Adam Smith and John Maynard Keynes on human nature, social progress and economic change [Audio]

In this episode of the Data Show, I spoke with Harish Doddi, co-founder and CEO of Datatron, a startup focused on helping companies deploy and manage machine learning models. As companies move from machine learning prototypes to products and services, tools and best practices for productionizing and managing models are just starting to emerge. Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies. Risk and compliance considerations mean that the ability to reproduce machine learning workflows is essential to meet audits in certain application domains. And as data science and data engineering teams continue to expand, tools need to enable and facilitate collaboration.

As someone who specializes in helping teams turn machine learning prototypes into production-ready services, I wanted to hear what Doddi has learned while working with organizations that aspire to “become machine learning companies.”

Simplifying Machine Learning Lifecycle Management

In this episode of the Data Show, I spoke with Jacob Ward, a Berggruen Fellow at Stanford University. Ward has an extensive background in journalism, mainly covering topics in science and technology, at National Geographic, Al Jazeera, Discovery Channel, BBC, Popular Science, and many other outlets. Most recently, he’s become interested in the interplay between research in psychology, decision-making, and AI systems. He’s in the process of writing a book on these topics, and was gracious enough to give an informal preview by way of this podcast conversation.

How Social Science Research Can Inform the Design of AI Systems

In what ways can you make your ideas valuable?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/202

SDS 202: Ideas and Execution

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

SDS 272: Data Science in Energy

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

SDS 273: Predict, Prevent, Detect: Cyber Security

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

SDS 274: Ask the Right Question

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

SDS 275: Machine Learning Through Reinforcement & Contextual Bandits

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

SDS 276: Data Science in Wealth Management

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 202: Ideas and Execution

Super Data Science: ML & AI Podcast with Jon Krohn