Advanced Machine Learning with R by Cory Lesmeister

Author:Cory Lesmeister
Language: eng
Format: epub
Tags: COM018000 - COMPUTERS / Data Processing, COM044000 - COMPUTERS / Neural Networks, COM004000 - COMPUTERS / Intelligence (AI) and Semantics
Publisher: Packt Publishing
Published: 2019-07-26T06:33:05+00:00

To be a successful data science professional you need to have math, programming skills, as well as knowledge of the business domain.

As we can see, AI, data science, data analytics, data mining, and ML are all interlinked. All of these areas are the most in-demand domains in the industry right now. The right skill sets in combination with real-world experience will lead to a strong career in these areas which are currently trending. As ML forms the core of the leading space, the next section explores the various types of ML methods that may be applied to several real-world problems.

ML is everywhere! Most of the time, we may be using something that is ML-based but don’t realize its existence or the influence that it has on our lives! Let's explore together some very popular devices or applications that we experience on a daily basis, which are powered by ML:

Virtual personal assistants (VPAs) such as Google Allo, Alexa, Google Now, Google Home, Siri, and so on

Smart maps that show you traffic predictions, given your source and destination

Demand-based price surging in Uber or similar transportation services

Automated video surveillance in airports, railway stations, and other public places

Face recognition of individuals in pictures posted on social media sites such as Facebook

Personalized news feeds served to you on Facebook

Advertisements served to you on YouTube

People you may know suggestions on Facebook and other similar sites

Job recommendations on LinkedIn, based on your profile

Automated responses on Google Mail

Chatbots that you converse with in online customer support forums

Search engine results filtering

Email spam filtering

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