The Python Podcast.__init__

The podcast about Python and the people who make it great

Episodes

Total: 389

Summary Pandas has grown to be a ubiquitous tool for working with data at every stage. It has become

Summary Developers hate wasting effort on manual processes when we can write code to do it instead.

Summary Statistical regression models are a staple of predictive forecasts in a wide range of applic

Summary Every software project needs a tool for managing the repetitive tasks that are involved in b

Summary Whether we like it or not, advertising is a common and effective way to make money on the in

Summary Podcasts are one of the few mediums in the internet era that are still distributed through a

Summary Outer space holds a deep fascination for people of all ages, and the key principle in its ex

Summary Deep learning frameworks encourage you to focus on the structure of your model ahead of the

Summary A lot of time and energy goes into data analysis and machine learning projects to address va

Summary The true power of artificial intelligence is its ability to work collaboratively with humans

Summary Every machine learning model has to start with feature engineering. This is the process of c

Summary The speed of Python is a subject of constant debate, but there is no denying that for comput

Summary The world of finance has driven the development of many sophisticated techniques for data an

Summary Machine learning and deep learning techniques are powerful tools for a large and growing num

Summary Finding new and effective treatments for disease is a complex and time consuming endeavor, r

Summary The overwhelming growth of smartphones, smart speakers, and spoken word content has correspo

Summary Reinforcement learning is a branch of machine learning and AI that has a lot of promise for

Summary A perennial problem of doing data science is that it works great on your laptop, until it do

Summary You’ve got a machine learning model trained and running in production, but that’

Summary Building a machine learning model is a process that requires a lot of iteration and trial an