Superdatascience

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

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

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

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

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

Can you pick one activity to implement for yourself this week to engage in loving yourself? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/288

In this episode of the SuperDataScience Podcast, I chat with a data scientist, public speaker and the mastermind behind the Let’s Go Data Science meetups, Ashwin Chirag. You will learn why it is very important to attend meetups and what are the benefits and advantages you get from meetups. You will hear some great stories on how in-person connections with data scientists can take your career to the next level. You will also hear Ashwin’s experience in standup comedy and what it has taught him. And finally, you will hear how attending meetups, attending conferences such as DataScienceGO has changed the trajectory of Ashwin’s life. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/287

Can you give yourself an hour this weekend to physically separate from your phone? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/286

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

Who in your life can you get more inspiration and learning from by increasing your proximity? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/284

In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a given data science challenge, in which order and why. You will also hear about problems with Kaggle competitions. You will find out the four key questions that Andreas recommends to ask when you have a data challenge in front of you. You will learn about his 95% rule to creating models, and creating success in business enterprises with the help of machine learning. And, finally, you will also learn about the Data Science Institute at Columbia University. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/283

What can you spend time learning that’s new to you and how can it help your lifestyle and career? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/282

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

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

In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/279

What do you do extremely well that no one else around you does quite as well and how can you leverage it? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/278

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

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

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

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