Probability for Data Science

Probability for Data Science

It is hard to do data science without some sort of understanding of probability and it’s mathematics. As with our treatment of statistics in article (Statistics for Data Science), we’ll wave our hands a lot and elide many of the technicalities.

It is hard to do data science without some sort of understanding of probability and it’s mathematics. As with our treatment of statistics in article (Statistics for Data Science), we’ll wave our hands a lot and elide many of the technicalities.

For our purposes you should think of probability as a way of quantifying the uncertainty associated with events chosen from a some universe of events. Rather than getting technical about what these terms mean, think of rolling a die. The universe consists of all possible outcomes. And any subset of these outcomes is an event; for example, “the die rolls a one” or “the die rolls an even number.”

Notationally, we write P E to mean “the probability of the event E.”

  • We’ll use probability theory to build models.
  • We’ll use probability theory to evaluate models.
  • We’ll use probability theory all over the place.

One could, were one so inclined, get really deep into the philosophy of what probability theory means. (This is best done over beers.) We won’t be doing that.

machine-learning data-science data-science-courses probability machine-learning-course

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Most popular Data Science and Machine Learning courses — July 2020

Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant

What is Supervised Machine Learning

What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI

15 Machine Learning and Data Science Project Ideas with Datasets

Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.

Pros and Cons of Machine Learning Language

AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA

Data Science Course in Dallas

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...