Vanishing Gradients
Hugo Bowne-Anderson
A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson.
It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.
It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.
Top mentioned books
Here are the most frequently recommended books on the Vanishing Gradients podcast:
#1 Mentioned in 2 episodes
Fundamentals of Data Engineering
Joe Reis
Matt Housley
#2 Mentioned in 1 episodes
Python Data Science Handbook
Oliver Soranson
#3 Mentioned in 1 episodes
The Innovator's Dilemma
When New Technologies Cause Great Firms to Fail
Clayton M. Christensen
#4 Mentioned in 1 episodes
What Will Be the Measure of Your Life
string
Clayton Christensen
#5 Mentioned in 1 episodes
Bullshit Jobs
A Theory
David Graeber
#6 Mentioned in 1 episodes
LM Engineering
Staz Beckman
#7 Mentioned in 1 episodes
The Innovator's DNA
Clayton M. Christensen
