data science

SuperDataScience

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 this episode, discover how chatbots and conversational agents can provide you an advantage in the realms of customer support, product, support, lead engagement, and more, and learn the theory behind creating useful chatbots you can use in your own business. Right now, if we intend to find a piece of information or purchase something on the Internet, we might use a search engine that provides us with a list of sites we can browse in order to find ourselves a resolution for that intent. This week’s guest, Chief Scientist at Conversica, Dr. Sid J Reddy, talks about how AI and ML can usher in the next a new era of search software, one that will bring you a faster, more accurate resolution to your intent. Most importantly, Dr. Reddy discusses how chatbot technology can be integrated into areas such as customer service, product support, and lead engagement. By the end of the episode, listeners will have a better idea of the importance of collecting data and how they can use that data to &nbsp;to build chatbot templates they can use in multiple domains and applications. For more interviews on the business applications of AI, visit: www.TechEmergence.com

What Chatbots Can Do, and Cannot Do

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

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

SDS 132: The Data-Driven Executive

In this episode of the SuperDataScience Podcast, I chat with the Senior Consultant of Data Science at b.telligent, Dr. Andreas Hopfgartner. You will discuss the "Internet of Things", Sensor Data, and their integration into our daily lives; you will also know the different skills, techniques and the future of some of the tools used in Data Science; and also learn a systematic and structured approach to breaking into a Data Science career. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/143

SDS 143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science

In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Josey Parks. You will learn how a brick and mortar entrepreneur is leveraging data to build a business empire, know how Josey is training his salesmen as data analysts and get valuable tips on how to spread the power of data in the contractor industry. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/145

SDS 145: How to Use Data Science In Offline Business

In this episode of the SuperDataScience Podcast, I chat with independent turnaround consultant, Vitaly Dolgov. You'll talk about a scheduling system that just gets so many things done, know how to block out your time in your calendar and then committing to it, and also learn the power of routines by removing unnecessary decision making.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/147

SDS 147: How to Live a More Fulfilling Life - Time & Energy Management

In this episode of the SuperDataScience Podcast, I chat with the Associate Director of Data Science for Merck and Co., You will learn about Data Science Leadership and how to serve your team, discuss about the rapidly evolving world of AI startups, and talk about the ethical implications of Artificial Intelligence with its rapid integration in the society. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/149

SDS 149: Data Science Tips for Startups to Large Companies

Do  you  already  have  mentors  helping  to  guide  your  career  or  life?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/150

SDS 150: Have a Mentor

In this episode of the SuperDataScience Podcast, I chat with the founder of Magnetic Memory Method, Anthony Metivier. You will discuss about the 7 magnetic modes to easily memorize stuffs, learn how to find your own memory palace and navigating through it, and know how to use memory techniques in your day to day life. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/153

SDS 153: Tips to Improve your Memory

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

In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Mike Taveirne. You will discuss the five stages of data science process for starters, get valuable tips for people who want to learn and transition to data science, and know how to apply your data science knowledge to your hobbies and interests.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/159

SDS 159: From Developer to Data Scientist

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

What do you think is the most significant application of data science in the healthcare industry so far?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/216

SDS 216: Data Science In Healthcare

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 157: The Amazing World of a Data Science Meetup

Super Data Science: ML & AI Podcast with Jon Krohn