DataScience

How do you see data science assisting in the transportation industry in the future?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/256

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

SDS 256: Data Science in Transportation

In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/257

SDS 257: AI: How Far We Haven’t Actually Come

How can you work S.L.O.W.L.Y. into your daily routine?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/258

SDS 258: Eating S.L.O.W.L.Y.

In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/259

SDS 259: Building Machine Autonomy With Neural Networks

How can we, as data scientists, scale the existing technologies in real estate?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/260

SDS 260: Data Science in Real Estate

In this episode of the SuperDataScience Podcast, I chat with Andrei Lyskov, a data science writer, who shares not only his experience but also his research and his thoughts and ideas in the space of getting a job in data science. You will learn about the trichotomy of control and the stages involved in job interviews in data science. You will also learn about the importance of referrals and portfolio, and you will hear about learning how to learn.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/261

SDS 261: Succeeding in Data Science with the Trichotomy of Control

How can you put a routine on a goal you’re trying to achieve? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/262

SDS 262: You Cannot Make Progress Without a Routine

In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use it to build your online presence and online portfolio. You will hear about startups and how you can jump into creating a startup, what accelerators are, what angel investors are, what venture capital funds are. And you will also hear where data science is going and whether or not data science should be a certified profession.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/263

SDS 263: Communicating Data

In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/265

SDS 265: Data Science in the World of Big Data

Where are you overexploiting patterns in your life and where can you be more open to some exploration?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/266

SDS 266: Exploration vs Exploitation

In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/267

SDS 267: Achieving Data Science Maturity

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 Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/269

SDS 269: Maximizing Advertising Efforts With Data

How can you leverage this to help you focus on your work in data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/270

SDS 270: The Cold is My Master

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

DataScience

Jing Wang