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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

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

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

How can you see data science disrupting and progressing insurance industry in the future? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/268

SDS 268: Data Science in Insurance

In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you wanted to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/271

SDS 271: Making the Public Graphically Literate

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

In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/277

SDS 277: The New Age of Reason

In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/281

SDS 281: Futureproofing Your Digital Marketing Tactics

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

Dr. Travis Smith, PhD, is the Associate Vice President in Health Care &amp; Life Sciences at Proactive Worldwide. Dr. Smith talks with us today about his role, working with other PhD Vanderbilt alumni, and how his training prepared him for his current role.&nbsp;

Consulting

Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.

In this episode you will learn: 
• Where did Stratos start? [6:16]
• How to keep the momentum for learning [12:20]
• Stratos’s goals [19:35]
• Planning the steps to getting a data science job [23:01]
• Triad for successful interviews [32:47]
• Application process [34:53]
• Experiences from the first data science job [45:51]

Additional materials: www.superdatascience.com/351

SDS 351: Self-Starting In Data Science

DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.

In this episode you will learn:
• How does it feel to be the person who created data science as we know it now? [3:17]
• What data science is not [6:01]
• Ethics and data science development in different countries [10:00]
• What is the “biorevolution”? [16:02]
• The importance of data sharing [20:10]
• The current state of Chief Data Scientist of USA [24:07]
• LinkedIn Q&A [26:03]
• What to think about when you think about data science [44:08]

Additional materials: www.superdatascience.com/355

SDS 355: DJ Patil on Harnessing the Power of Data Science Community

In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.

Additional materials: www.superdatascience.com/374

SDS 374: Remember to Wind Down

Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.

In this episode you will learn:
• Will we have cloud-based solutions for VR and working from home? [8:15]
• Greg’s career journey [11:50]
• From Hadoop to Cloud [23:35]
• The cloud element in data science [30:17]
• Data science and AI in Oracle [33:00]
• Is Oracle more suited for larger companies only? [37:35]
• Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]
• Trends in data science and data management [45:14]
• Why should someone choose Oracle over any other open source? [52:50]
• How does the future of data management look like? [56:00]
• 5G and edge computing [1:01:36] 
• Greg’s recommendation to data scientists [1:04:28]

Additional materials: www.superdatascience.com/375

SDS 375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer

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 268: Data Science in Insurance

Super Data Science: ML & AI Podcast with Jon Krohn