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Data Science

DataScience

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Tony Robbins - Subliminal - Total Self Confidence

Overfitting to your training data can be avoided by evaluating your machine learning algorithm on a holdout test dataset, but what about overfitting to the test data?  Turns out it can be done, easily, and you have to be very careful to avoid it.  But an algorithm from the field of privacy research shows promise for keeping your test data safe from accidental overfitting

Thresholdout: Down with Overfitting

Fire It Up 339

UMEK - Gatex (Stanny Abram Amsterdam Mix)
Alberto Ruiz - Sustained (Original Mix) [Transmit]
Cirez D - Chaos (Original Mix) [Mouseville]
Monika Kruse meets Pig&Dan - Boundaries [Terminal M]
Mark Reeve - Exposure (Original Mix) [Drumcode]
Carlo Lio - Welcome To The Flipside (Nicole Moudaber Remix) [Suara]
Misstress Barbara - Need That (Original Mix) [Tronic]
Veerus, Maxie Devine - Banzai (Original Mix) [Yoshitoshi]

Steve Mulder - Hole In The Wall (Original Mix) [Orange]
Mauro Picotto - Infinity [Alchemy]
Mark Greene - Wake Up And Smell The Coffee (Chicago Loop Remix) [Ohn.cet]
Stephen Kirkwood - Liberator (Original Mix) [Outburst]
Sean Tyas - Ambush [Black Hole]
Paul van Dyk & Jordan Suckley - City Of Sound (Liquid Soul Remix) [Vandit]
Henrik Zuberstein - HAL

Rewind 2…1994
Subliminal Cuts - Le Voie Le Soleil (Original Mix) [XL]

Eddie Halliwell presents Fire It Up Radio broadcasts on over 60 stations worldwide.

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Fire It Up Radio 339

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

Spring clean your finances! The AstroTwins interview Sacred Success author Barbara Stanny about removing obstacles to abundance and creating financial miracles.

Sacred Success: Embrace Abundance for the Equinox

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

We're back again with friend of the pod Walt, former software engineer extraordinaire and current data scientist extraordinaire, to talk about some best practices from software engineering that are ready to jump the fence over to data science.  If last week's episode was for software engineers who are interested in becoming more like data scientists, then this week's episode is for data scientists who are looking to improve their game with best practices from software engineering.

What Data Scientists Can Learn from Software Engineers

I am super excited to introduce Barbara Stanny on today’s show! Barbara is on a mission to motivate women to become financially empowered. She is the author of multiple books including Prince Charming Isn’t Coming, Secrets of Six- Figure Women and Overcoming Underearning. Her latest book is called Sacred Success. We talk about the practical, psychological, and spiritual work of wealth in this episode. I think you’ll love Barbara’s energy and perspective. “My definition of a powerful woman is someone who knows who she is, who knows what she wants, and expresses that in the world unapologetically.” - Barbara Stanny. Learn more about this episode of Money with a Twist of Sublime at www.hollysignorelli.com/08

08 Barbara Stanny - Sacred Success

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

It's been a busy hurricane season in the Southeastern United States, with millions of people making life-or-death decisions based on the forecasts around where the hurricanes will hit and with what intensity.  In this episode we'll deconstruct those models, talking about the different types of models, the theory behind them, and how they've evolved through the years.

Hurricane Forecasting

This week, we've got a fun paper by our friends at Google about the hidden costs of maintaining machine learning workflows.  If you've worked in software before, you're probably familiar with the idea of technical debt, which are inefficiencies that crop up in the code when you're trying to go fast.  You take shortcuts, hard-code variable values, skimp on the documentation, and generally write not-that-great code in order to get something done quickly, and then end up paying for it later on.  This is technical debt, and it's particularly easy to accrue with machine learning workflows.  That's the premise of this episode's paper.

Machine Learning: The High Interest Credit Card of Technical Debt

In this episode of the SuperDataScience Podcast, I chat with the aspiring Data Scientist, Rio Branham, who now has a full-time job as a data scientist after just 1 year in the field. You will learn about the difference between data science and econometrics, what kind of tools and techniques Rio uses and what his aspirations are. You will also hear about Rio’s approach to learning which together with Rio's mindset, make this a very inspirational podcast episode. Rio makes a reckless commitment for 2019 right on this podcast.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/209

SDS 209: Full-Time Data Scientist after just 1 year in the field

In this episode of the SuperDataScience Podcast, I chat with the professional data visualizer, Mollie Pettit. You will learn about the difference between data scientist and data visualizer. You will also learn about the D3.js javascript library, when to use it and how you can benefit from using it. You will hear one of Mollie's case studies and how she participates in projects that use Data Science to contribute to the world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/231

SDS 231: Data Visualizers: The Storytellers of Data Science

In this episode of the SuperDataScience Podcast, I chat with the Data Science Headhunter and Head of Analytics Recruitment at IT Search and Selection, Adrian Clarke. You will learn about the state of the data science industry globally and the different data science roles that exist in the world. You will also learn what to expect in terms of data science salaries and why there is a huge demand for data scientists. You will hear about the concept of hybrid professional and a lot of valuable career insights.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/239

SDS 239: From Candidate to Career: Pathways for Data Scientists

In this episode of the SuperDataScience Podcast, I chat with the Seasoned Executive Luis Blanco about his amazing career journey from which you will gain very valuable insights for your career development. Also, you will learn about fact-based decision making cultures, how to create and nurture them and you will also learn about cross-departmental work and sharing models between departments.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/245

SDS 245: Knowing What You Need to Know With Data Science

How will you prepare yourself for imperfection going forward? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/246

SDS 246: Boost Your Self-Confidence

In this episode of the AI in Industry podcast, we speak with Marshall Choy, VP of Product at SambaNova, an AI hardware firm based in the Bay Area. SambaNova was founded by a number of Oracle and Sun Micro Systems alumni. We speak with Choy on two fundamental questions:  How will business models fundamentally change with respect to new AI hardware capabilities? How can business leaders think about their AI hardware needs?  SambaNova is one of many firms that's going to be advertising at the Kisaco Research AI Hardware Summit in Beijing June 4th and 5th.

How Business Leaders Should Think About AI Hardware

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

How does your inner voice compare to your passions?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/290

SDS 290: The Passion Paradox

In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions,  the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/291

SDS 291: Changing the World With Theory & Data

How can you find a way to balance your energy through recharging in the way that works best for you?  

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/292

SDS 292: Introverts and Extroverts

In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/293

SDS 293: True Personalization Through Reinforcement Learning

In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/295

SDS 295: A Deep Conversation About Tech & Life

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 246: Boost Your Self-Confidence

Super Data Science: ML & AI Podcast with Jon Krohn