Q: How do I become a machine learning engineer?

If you want to <a href="https://www.codecademy.com/resources/blog/how-to-land-your-dream-job-as-a-machine-learning-engineer/">become a Machine Learning Engineer</a>, you'll need to build your skills with machine learning tools like R, Python, and Pandas. Then once you've got the basics down, find freelance projects (or create your own) that you can use to build a portfolio to share with hiring managers when you're looking for a job. (Bonus points if they're related to the industry you want to work in.) And once you've started applying, you'll want to prepare for the interview process.

Question 1

What is machine learning?

Accepted Answer

Machine learning combines computer science, artificial intelligence, and statistics to quickly process large volumes of data and teach systems how to recognize patterns in data sets. It has a wide range of applications, from guiding decision-making to building chatbots and self-driving cars.

Question 2

How does machine learning work?

Accepted Answer

The machine learning process is pretty straightforward. There are two things you need to get started: A question and relevant data. First, data needs to be formatted properly before it can be analyzed, and you also need to determine the most relevant features to consider. Then it's time to select a model and fine-tune and evaluate its parameters and performance before applying it to your data and sharing your results.

Question 3

What is machine learning used for?

Accepted Answer

Machine learning underlies the engines that streaming and e-commerce platforms use to provide personalized recommendations for their users, virtual assistants like Siri, and the algorithms behind your social media feed. You'll find it used in virtually every industry — including banks that use it to detect fraud, healthcare institutions that use it to improve their diagnostics and services, and customer service systems that use A.I. to field common questions and issues.

Question 4

What kind of jobs use machine learning?

Accepted Answer

Some Data Scientists are tasked with building machine learning models, and Machine Learning Engineers help build machine learning systems and applications. Other popular machine learning jobs include Robotics Engineers, Natural Language Processing Specialists, A.I. Engineers, and Cybersecurity Analysts.

Question 5

What else should I study if I am learning machine learning?

Accepted Answer

After getting the basics down, you can learn more about the differences between supervised and unsupervised machine learning and fine-tuning hyperparameters and models to make them more efficient. Then, try picking up some new machine learning skills like building chatbots and recommendation engines.

Question 6

How do I become a machine learning engineer?

Accepted Answer

If you want to become a Machine Learning Engineer, you'll need to build your skills with machine learning tools like R, Python, and Pandas. Then once you've got the basics down, find freelance projects (or create your own) that you can use to build a portfolio to share with hiring managers when you're looking for a job. (Bonus points if they're related to the industry you want to work in.) And once you've started applying, you'll want to prepare for the interview process.

Question 7

Is machine learning AI?

Accepted Answer

`You might hear “machine learning” and “artificial intelligence (A.I.)” used interchangeably, but they're two different things. Machine learning is a subset of A.I. centered around teaching machines to extract patterns from data, while artificial intelligence (A.I.) is the simulation of human cognition, perception, and motor skills.`

Learn the Basics of Machine Learning

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Syllabus

Introduction to Machine Learning

Linear Regression

Multiple Linear Regression

Yelp Regression Project

Classification Vs Regression

Classification: K-Nearest Neighbors

Logistic Regression

Hands-on learning

Projects in this course

Honey Production

Breast Cancer Classifier

Predict Titanic Survival

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