Data Sc

superdatascience

SuperDataScience

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

Are you willing to make the digital shift to be a model-driven business?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/212

SDS 212: Model Driven Vs Data Driven

In this episode of the SuperDataScience Podcast, I chat with the legends of visualization, Andy Kriebel and Eva Murray. You will learn about visualization and why it is important for data scientists and machine learning experts to know how to visualize data. You will also hear some amazing tips from their brand new creation, MakeoverMonday the Book. 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/213

SDS 213: Amazing Tips from Two Legends of Visualization

In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/215

SDS 215: Integrating Data Science as a Developer

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

In this episode of the SuperDataScience Podcast, I chat with the aerospace engineer, Carlos Hervás García, who works for Airbus. You will hear about Aerospace and Orbital Mechanics, the International Space Station and what aerospace engineers actually do. You will learn how Data Science, Machine Learning, Deep Learning, and Artificial Intelligence can be used in Aerospace Engineering and what value do these technologies bring to the field of Interplanetary Travel. You will also hear how Carlos combined his passions for Aerospace and Artificial Intelligence in his career journey.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/217

SDS 217: Aerospace Engineers and Data Science

In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/223

SDS 223: Data Science Trends for 2019

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

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 217: Aerospace Engineers and Data Science

Super Data Science: ML & AI Podcast with Jon Krohn