SuperDataScience

DataScience

DataScience &² ML

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 episode of the Data Show, I spoke with Tim Kraska, associate professor of computer science at MIT. To take advantage of big data, we need scalable, fast, and efficient data management systems. Database administrators and users often find themselves tasked with building index structures (“indexes” in database parlance), which are needed to speed up data access.

How Machine Learning Will Accelerate Data Management Systems

In this episode of the Data Show, I spoke with Kristian Hammond, chief scientist of Narrative Science and professor of EECS at Northwestern University. He has been at the forefront of helping companies understand the power, limitations, and disruptive potential of AI technologies and tools. In a previous post on machine learning, I listed types of uses cases (a taxonomy) for machine learning that could just as well apply to enterprise applications of AI. But how do you identify good use cases to begin with?

Bringing AI Into the Enterprise

with Nicole Forsgren (@nicolefv), Jez Humble (@jezhumble) and Sonal Chokshi (@smc90)

From the old claim that "IT doesn't matter" and question of whether tech truly drives organizational performance, we've been consumed with figuring out how to measure -- and predict -- the output and outcomes, the performance and productivity of software. It's not useful to talk about what happens in one isolated team or successful company; we need to be able to make it happen at any company -- of any size, industry vertical, or architecture/tech stack. But can we break the false dichotomy of performance vs. speed; is it possible to have it all? 

This episode of the a16z Podcast boldly goes where no man has gone before -- trying to answer those elusive questions -- by drawing on one of the largest, large-scale studies of software and organizational performance out there, as presented in the new book, Accelerate: The Science of Lean Software and DevOps -- Building and Scaling High Performing Technology Organizations by Nicole Forsgren, Jez Humble, and Gene Kim. Forsgren (co-founder and CEO at DevOps Research and Assessment - DORA; PhD in Management Information Systems; formerly at IBM) and Humble (co-founder and CTO at DORA; formerly at 18F; and co-author of The DevOps Handbook, Lean Enterprise, and Continuous Delivery) share the latest findings about what drives performance in companies of all kinds.

But what is DevOps, really? And beyond the definitions and history, where does DevOps fit into the broader history and landscape of other tech movements (such as lean manufacturing, agile development, lean startups, microservices)? Finally, what kinds of companies are truly receptive to change, beyond so-called organizational "maturity" scores? And for pete's sake, can we figure out how to measure software productivity already?? All this and more in this episode!

a16z Podcast: Feedback Loops -- Company Culture, Change, and DevOps

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

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 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 SuperDataScience Podcast, I chat with the Director of Data Science at Data Society, Nisha Iyer. You will talk about how members of an organization or company benefit more when they are adept with data,  know how attending hands-on trainings could magnify your data science learning experience, and learn how communication and hospitality skills are important and helpful in your data science career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/167

SDS 167: Why All Companies Need a Data Science Culture

What past situation you were in that you think you could have gone beyond the data?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/172

SDS 172: Why You Need to Go Beyond the Data

In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, talk about where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/183

SDS 183: Everything about Data Analytics & its Future

In what situations in your life can you apply the concept of FIFO or LIFO?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/184

SDS 184: Why You Need Domain Knowledge in Data Science

In this episode of the SuperDataScience Podcast, I chat with the President of McKnight Consulting Group, William McKnight. You will learn about the right pre-requisites in order to have a right analytics organization, know the 4 components of data maturity of an organization, and also find out the 5 different stages of which level an organization can be.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/185

SDS 185: The Pre-Requisites for Analytics to Happen

In this episode of the SuperDataScience Podcast, I chat with the Data Science Mentor, Randy Lao. You will learn how Randy Lao made a big rise in LinkedIn starting out from 45,000 followers and several Data Science jobs in just one year. You will also discuss the whole process of getting a job in Data Science from preparing your portfolio til' getting those data science jobs & opportunities, and get to learn that one thing that Randy is very passionate about which is the "end goal of Data Science".

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/189

SDS 189: How I Got 45,000 Linkedin Followers in One Year

What do you think is your greatest weakness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/192

SDS 192: Ace the "Greatest Weakness" Interview Question

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

Is there a period in your life you can look at and feel grateful for your freedom and experience?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/280

SDS 280: Gap Year

In this episode of the SuperDataScience Podcast, I chat with the top contributor on Stack Overflow, Jon Skeet. You will learn what is versioning, how that affects developers and how that affects data scientists. You will hear about compiled versus interpreted languages, what is the silver bullet in cold diagnostics, what kind of problems you want to diagnose and the 'divide and conquer' principle. You will also hear about the importance of community, what it means to be part of a community and how communities grow, what you can do as a data scientist to make our community be more inclusive, more welcoming and prosper further.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/285

SDS 285: Bringing Dev & Diverse Communities Into Data Science

In this episode of the SuperDataScience Podcast, I chat with top AI influencer, Ben Taylor. You will learn some very cool concepts about artificial intelligence such as active adverse impact mitigation, what that means and how that can help train on your dataset without bias. You will hear about AI ethics, deepfakes and Ben's current passion project, building an artificial intelligence that plays Call of Duty, which he will actually demonstrate at DataScienceGO this year at the end of September.

If you enjoyed this episode, check out the video, show notes, resources, and more at www.superdatascience.com/289

SDS 289: AI, Deepfakes and Call of Duty

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 167: Why All Companies Need a Data Science Culture

Super Data Science: ML & AI Podcast with Jon Krohn