Superdatascience

In this episode of the SuperDataScience Podcast, I chat with Data Scientist at TD Bank, Ayobami Ayodeji. You will hear Ayobami's valuable insights about the takeaways from DataScienceGO 2019, including productization of data science products, the 3 types of data science teams, and building character and resilience. You will also learn about Ayobami's career journey from project manager to data scientist and the sacrifices he made on that journey. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/301

What are you leaving for the next generation on this planet? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/300

In this episode of the SuperDataScience Podcast, I chat with Head of Data Science and Machine Learning, Michelle Keim. You will hear what working remotely is all about in data science. You will learn about the importance of failure, and why everyone should lose their job at least once. You will hear about churn and segmentation, what they meant 10 years ago and what they mean now. You will also learn about the imposter syndrome and what to do when you feel like an imposter while applying for a role. You will hear about moving from centralized data science teams to integrated experts within the business and leading people on the three key learnings that Michelle has taken away from her experience as a leader. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/299

What would you change about the things you do in your life if you thought you only had 6 months to live? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/298

In this episode of the SuperDataScience Podcast, I chat with data scientist Ayodele Odubela. You will hear how and why she chose to do a Masters in Data Science and supplemented that with online education. You will also hear about self-discovery, fortitude and passion, and how she got one of her data science jobs through Twitter. You will learn about some of Ayodele's projects like using SVM for detecting poisonous vs. edible mushrooms, using random forests and decision trees for ranking wines based on the chemical contents, using the Naive Bayes to detect spam. You will learn about the real-world project that she's worked on, bullet stopping flying drones. You will find out what role machine learning played in that project and how they're going to be applied in society once they get rolled out. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/297

Do you take time to reflect on who you became or actions you took while on a path to achieving a goal? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/296

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

What about AI worries you in the professional world? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/294

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