data science

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

In this episode of the O’Reilly Data Show, I spoke with Mikio Braun, delivery lead and data scientist at Zalando. After spending previous years in academia, Braun recently made the decision to switch to industry. He shared some observations about building large-scale systems, particularly deploying data applications in production systems. Given his longstanding background as a machine learning researcher and practitioner, I wanted to get his take on topics like deep learning, hybrid systems, feature engineering, and AI applications.

Practical Machine Learning Techniques for Building Intelligent Applications

In this episode of the O’Reilly Data Show, O’Reilly’s online managing editor Jenn Webb speaks with Natalino Busa on the topic of predictive analytics, the challenges of feature engineering, and a new class of techniques that is enabling features to emerge from patterns within the data. They also discuss the relationship between predictive techniques and high-quality microservices, and how machine learning is being used to improve financial services.

Understanding Predictive Analytics

In this session of the Super Data Science Podcast, I chat with Aspiring Data Scientist Garth Zoller. You will know how a creative person end up in data science, discover how organisations build a culture of data science and be able to walk through an interesting case study on how Garth deal with vague business problems.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/11

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

SDS 011 : Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller

This episode consists of excerpts from a recent talk I gave at a conference commemorating the end of the UC Berkeley AMPLab project. This section pertained to some recent trends in Data and AI. For a complete list of trends we’re watching in 2017, as well as regular doses of highly curated resources, subscribe to our Data and AI newsletters.

2017 Will Be the Year the Data Science and Big Data Community Engage With AI Technologies

In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will be able to learn and assess on Experfy, get to discuss data science application case studies and know the secret to data science success.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/37

SDS 037: Develop your Dream Data Science Career with Experfy

In this episode of the Data Show, I spoke with Aurélien Géron, a serial entrepreneur, data scientist, and author of a popular, new book entitled "Hands-on Machine Learning with Scikit-Learn and TensorFlow." Géron’s book is aimed at software engineers who want to learn machine learning and start deploying machine learning models in real-world products.

Becoming a Machine Learning Engineer

What do you think are the things that may help you reach your goals?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/42

SDS 042: Secret to Success

In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to know how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences and be able to get ideas on how to be involved in a Kaggle competition.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/45

SDS 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn the idea to the question: why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/47

SDS 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

In what way do you think you can push yourself out of your comfort zone at some point within the next 7 days?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/48

SDS 048: Push Yourself

In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Erika Dorland. You will discuss about the different ways to keep up in Data Science, talk about the women in data science community, know the importance of communication skills and you will also get valuable tips on how to leverage your unique strengths when it comes to Data Science whichever background you’re coming from. 

If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/63

SDS 063: How to Keep up with Data Science Trends

In this episode of the Data Show, I spoke with Michael Freedman, CTO of Timescale and professor of computer science at Princeton University. When I first heard that Freedman and his collaborators were building a time-series database, my immediate reaction was: “Don’t we have enough options already?” The early incarnation of Timescale was a startup focused on IoT, and it was while building tools for the IoT problem space that Freedman and the rest of the Timescale team came to realize that the database they needed wasn’t available (at least out in open source). Specifically, they wanted a database that could easily support complex queries and the sort of real-time applications many have come to associate with streaming platforms. Based on early reactions to TimescaleDB, many users concur.

A Scalable Time-Series Database That Supports SQL

In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will discuss about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Algorithms, and also get valuable insights on how AI is changing the employment landscape. 

If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/67

SDS 067: Latest Developments in the Field of AI and How it is Changing the World

In this episode of the SuperDataScience Podcast, I chat Founder of Break Into Data Science, Mark Meloon. You will learn how to get into Data Science even without a PhD, take a walk-through of a Data Science interview and discuss on how to turbo boost your LinkedIn profile.  

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/73

data science

Hassan Amr