Главная
Study mode:
on
1
Introduction
2
Get Data
3
Tools
4
Cortana Analytics
5
Feature Engineering
6
Deep Learning
7
Machine Learning
8
Classification
9
Groups
10
Weird
11
Reinforcement Learning
12
Patterned Identification
13
Data
14
Resources
15
Questions
Description:
Explore the fundamentals of data science in this 50-minute video lecture, part of the End-to-End Machine Learning School course library. Gain a comprehensive understanding of the data science process, explained in plain English without complex math or programming concepts. Learn about various aspects including data acquisition, tools like Cortana Analytics, feature engineering, deep learning, machine learning, classification, and reinforcement learning. Discover resources for further learning and engage with a Q&A session at the end. Access related materials and slide copies through the accompanying blog post for a deeper dive into the world of data science.

How Data Science Works

Brandon Rohrer
Add to list
0:00 / 0:00