How to Become a Machine Learning Engineer
Does Google Use Machine Learning?
Yes, Google uses machine learning. One could say, in fact, that Google has mastered using machine learning. Almost every feature Google has to offer contains an example of machine learning and artificial intelligence, starting with search. When you begin to search a query such as “What is a good ...” and Google provides suggestions for how you might want to complete the query, “What is a good horror movie?” That’s based on popular search trends and your own online history.
Machine learning helps Gmail filter emails into promotional, primary, or spam inboxes. It also offers “Smart Replies” that give you quick email response options. Google Maps uses transportation data to predict how long a trip may take, Google Translate analyzes different translations of documents to improve its language processing abilities, and Google Photos is able to learn different faces and make folders for you.
Google Home has learned how to respond to different voice queries. The more customers who speak to Google Home, the more data the algorithm has to create more specific and accurate answers.
Ultimately, the majority of a user’s interactions with Google are powered by machine learning and artificial intelligence.
Kick-Start Your Machine Learning Engineer Career
We offer a wide variety of programs and courses built on adaptive curriculum and led by leading industry experts.
- Work on projects in a collaborative setting
- Take advantage of our flexible plans and scholarships
- Get access to VIP events and workshops
Recommended Courses for Machine Learning Engineer
The Data Science Full-Time program is an intensive course designed to launch students' careers in data.
The part-time Machine Learning course was designed to provide you with the machine learning frameworks to make data-driven decisions.
The Python Programming certificate course provides individuals with fundamental Python programming skills to effectively work with data.
Taught by data professionals working in the industry, the part-time Data Science course is built on a project-based learning model, which allows students to use data analysis, modeling, Python programming, and more to solve real analytical problems.