PODCAST · technology
The Data Life Podcast
by Sanket Gupta
This is a podcast where we talk all-about real life experiences of dealing with data and machine learning tools, techniques and personalities. We cover not just the technical aspects but also the "life" aspects of working in the field. Note: Opinions expressed are my own and do not express the views or opinions of my employer. Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support
Episodes
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27: Building Open Source Data Startup with Airbyte CEO, Michel Tricot
We talk with Michel Tricot, who is the Founder and CEO of Airbyte, which is an open source data integration Y Combinator startup. It has raised over $30M in capital and has been growing quite fast. It was a great conversation and I think you will also enjoy it. 🎉 We cover lots of things in the...
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26: Building Data Engineering Pipelines at Scale (with Data Warehouse, Spark and Airflow)
Imagine you are at a beach and you are hanging out and seeing all the waves come and go and all the shells on the beach. And you get an idea. How about you collect these shells and make necklaces to sell? Well how would you go about doing this? Maybe you’d collect a few shells and make a small...
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25: Talking Data Privacy with Jeff Bermant
In this episode, I'm excited to be talking with Jeff Bermant, who is the founder and CEO of Cocoon Mydata Rewards browser. It is a browser based off Chrome and it pays people to use it! ✨ In this episode we talk about data ethics and privacy, and how Jeff believes that users should be paid for...
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24: Promoting Women in Tech - With Rupal Gupta
In this episode, we are talking about women in tech with Rupal Gupta. Rupal, a recent graduate from Online MS in CS from Georgia Tech, is a data engineer in the industry and is passionate to help promote women in tech. She also has some great tips and resources for anyone trying to break into…
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23: Let’s Talk AWS SageMaker for ML Model Deployment
In this episode, we talk about Amazon SageMaker and how it can help with ML model development including model building, training and deployment. We cover 3 advantages in each of these 3 areas. We cover points such as: 1. Host ML endpoints for deploying models to thousands or millions of users. 2....
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22: Transfer Learning for NLP - With Paul Azunre
In this episode, we are talking with Paul Azunre. Paul is one of the world’s experts in the area of Transfer Learning for NLP and is also an author of the upcoming book Transfer Learning for NLP published by Manning Publications. In this episode we talk about things such as: 1) Paul’s background...
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21: Why Scikit-Learn and Keras are Awesome for ML
In this episode, we talk about why the two libraries Scikit-Learn and Keras are great for machine learning. These two libraries combined with Pandas form the 3 core libraries in Python for a data scientist today. We cover things like: 1) Data Exploration and data cleaning - how Pandas and Jupyter...
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20: Yogi's Guide to Analytics - An Interview with Akshay Kanade
In this episode, we talk with Akshay Kanade. He is a business analyst working in New York City who likes taking a big view of data, and has very interesting spiritual views on data analytics and life in general, he is also a handwriting expert- he can read people’s handwriting and can recognize a...
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19: Statistics and Data Science- An Interview with Patrick McClory
In this podcast episode, we do an interview! We talk with Patrick McClory, who is the founder and CEO of IntrospectData. He is an expert working in areas of data science consulting, large machine learning projects, math, statistics and more. In this episode we cover several interesting topics…
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18: 5 Things to Consider for Master of Science (MS) in US
What should you consider for pursuing MS in US? There might be several questions in your mind as you explore this question. In this episode we cover some of the main things to consider before you make the decision. I also go into details about things which I wish I knew before coming to US for…
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17: Why Pandas is the new Excel
The Data Life Podcast is a podcast where we talk all-about real life experiences with data and data science science tools, techniques, models and personalities. In this episode, we will talk about how Pandas is becoming a tool of choice for many data scientists for doing their data analysis work....
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16: Getting Started with Natural Language Processing
So many tweets and news articles and unstructured text surrounds us. How do we make sense of all of these? Natural language processing or NLP can help. NLP refers to algorithms that process, understand and generate aspects of natural language either in text or in spoken voice. In this episode we...
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15: Using Flask, REST API and Vue.js to build a Single Page Web Application
As a data scientist, you will work on machine learning models that are deployed on websites - usually wrapped around a REST API, these days they also call this approach a “micro-service”. It is for this reason it is important to know how backends and front ends work and how to build them. In this...
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14: Building a Character-Based Text Classifier
Ever wonder how to automatically detect language from a script? How does Google do it? Ever wonder how Amazon knows whether you are searching for a product or a SKU on its search bar? We look into character-based text classifiers in this episode. We cover 2 types of models. First is the...
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13: Statistics of A/B Testing
You and your team might spend a lot of time building a new feature. But how do you know if this feature will be liked by the users? One of the ways to statistically prove this is by using A/B testing. Listen to this episode to get tips, tricks and intuition behind hypothesis testing, alpha, beta,...
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12: Your Users Don't Care How Smart You Are
In this episode, we will talk about the importance of business impact in data science. "Your users don't care how smart you are" was a quote I read that got me started in thinking about this. The right way to do data science is to think of users, revenue impact, business value and go for the...
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11: The Ten Essential Machine Learning Questions
This episode covers the ten essential machine learning questions. Disclaimer: Baseline answers have been provided in the episode for guidance. For complete accuracy, please refer to textbooks or to courses by Andrew Ng on Coursera. If this content is useful, please consider buying me a coffee via...
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Mining Twitter Data for Sentiment Analysis of Events
Twitter is a rich source of live information. Is it possible to run sentiment analysis on what the world is thinking as an event unfolds over time? Could we track Twitter data and see if it correlates to news that affects stock market movements? These are some of the questions that we will answer...
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Don't Be Shy To Pursue Your Interest
In this episode, we will talk about things like Maslow's Hierarchy of Needs, and focussing on higher level needs such as satisfaction and achieving full potential. In the area of tech, data science and software development, admitting your interest could involve "shyness" as the next shiny cool...
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Review of Udacity Nanodegrees - are they worth it?
Udacity has become a popular platform for learning about various things in data science, machine learning and programming in general. In this episode, we will discuss the good, bad and ugly of the Udacity nanodegrees. I will also cover my experiences with Deep Learning and NLP Nanodegrees. We…
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6 Steps to Transition to Data Science from non-CS background
In this episode we will talk all about the various steps to transition to data science from non computer science backgrounds. One of the main difficulties people face from non-CS backgrounds is how overwhelming it can be to transition to data science field, I talk about my own journey, and share...
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The Top 5 Data Science Podcasts
Welcome! In this episode, we will cover some of the top data science podcasts, that have helped me a lot in my own journey, and hopefully will be helpful to you as well. The top 5 podcasts are (linked to my favorite episodes): 1) AI in Industry with Daniel Faggella 2) This week in Machine…
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What I learnt building a data science course
Have you ever thought about building a video course? Have you wanted to share your expertise with other people via a video course on different platforms like Udemy? Have you wondered what are the economics and revenue details of building a course? This podcast episode is for you! In this episode…
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Overview of Netflix and Spotify like recommendation engines
In this episode, we cover the two main types of recommendation engines used at companies like Netflix and Spotify. 1) Content based recommendation systems use the genres or tags of each product to find other similar products to recommend to users. 2) Collaborative filtering based recommendation...
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3 Mistakes to Avoid in a Machine Learning Project
You and your team might spend weeks or even months building a model. These are the 3 mistakes to avoid in your next machine learning project! This can save you a lot of time and effort in your next project. These tips have been learnt from experiences deploying ML models in production as well as...
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Flask is a Great Tool for Full Stack Data Science
In this episode, we will talk all about what makes Flask such a great tool for both beginner and experienced data scientists to know. It was one of the first tools I learnt in my data science journey, and it has been so useful along the way. Flask is a micro-framework in Python which allows to...
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Hello, World!
To kick things off, I talk about the kind of topics you can expect to hear in this podcast. Welcome to The Data Life!
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ABOUT THIS SHOW
This is a podcast where we talk all-about real life experiences of dealing with data and machine learning tools, techniques and personalities. We cover not just the technical aspects but also the "life" aspects of working in the field. Note: Opinions expressed are my own and do not express the views or opinions of my employer. Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support
HOSTED BY
Sanket Gupta
CATEGORIES
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Frequently Asked Questions
How many episodes does The Data Life Podcast have?
The Data Life Podcast currently has 27 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is The Data Life Podcast about?
This is a podcast where we talk all-about real life experiences of dealing with data and machine learning tools, techniques and personalities. We cover not just the technical aspects but also the "life" aspects of working in the field. Note: Opinions expressed are my own and do not express the...
How often does The Data Life Podcast release new episodes?
The Data Life Podcast has 27 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to The Data Life Podcast?
You can listen to The Data Life Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts The Data Life Podcast?
The Data Life Podcast is created and hosted by Sanket Gupta.
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