#322: A path into data science

1

Introduction

00:00 • 2min

2

How Did You Get Into Programming?

02:10 • 3min

3

What Are You Doing Right Now?

05:16 • 3min

4

How to Do Differential Calculus?

08:01 • 2min

5

The Top Down Approach to Data Science

10:08 • 4min

6

Fast.ai - The Most Impactful Course in My Career

13:46 • 2min

7

TalkPythonomy - The Biggest Mind Opener

15:24 • 2min

8

How Not to Do Fast AI?

17:34 • 2min

9

Building Projects Online Is Not the Same as Watching Lectures

19:58 • 2min

10

What Are the Best Places to Learn About Data Science?

21:30 • 3min

11

The Prize Pool Is More Exciting Than the Prize Pool

24:54 • 2min

12

The First Kaggle Competition

26:49 • 3min

13

Is There a Difference Between a Data Loader and a GPU-Related Train?

29:54 • 3min

14

Kaggle, Code and Code Success

33:17 • 2min

15

Are You a Master Data Scientist?

34:53 • 2min

16

Kaggle, I'm a Fan of Upwork

37:16 • 2min

17

Podcast Interviews - How Did Radek Osmel Learn Programming?

39:23 • 2min

18

How to Approach Your First Research Project?

41:20 • 2min

19

Deep Learning ML - What's Your Vision?

42:57 • 3min

20

Wave Is an Open Source Framework Framework for Python Developers

45:46 • 2min

21

Is There a Way to Make a Web Page of Top Python?

47:23 • 2min

22

How to Build a Game That Plays Computer Game AI?

49:11 • 2min

23

Getting Started on Web Development or Data Science

50:59 • 3min

24

What Are the Basics Really?

53:34 • 2min

25

You're Making Progress Already.

55:19 • 2min

26

Talk Python - The Best Way to Get Started in Python

57:11 • 3min