Daily, Weekly, Monthly, and Yearly Goal Tips to Guide a Self-Taught Data Scientist in 2023 (December 2022, 11 minutes) A good plan is key to reaching your learning goals, and Madison Hunter is here to help with a robust roadmap for building one that is both ambitious and sustainable. How to Explore Machine Learning and Natural Language Processing as a High School Student (July 2022, 12 minutes) This helpful guide by Carolyn Wang might be framed around her own experience as a high school student, but it's a helpful introduction to ML and NLP for aspiring practitioners of all ages. The Simple Things a Data Science Beginner Needs to Know (December 2022, 11 minutes) Ken Jee's recent resource is an accessible, up-to-date primer for anyone taking their first steps in data science this year. Here Are My 3 Suggestions for Newcomers (April 2022, 5 minutes) For all the independent learners out there who choose not to follow an established curriculum, Soner Yıldırım offers a few key insights based on his own experience as a self-taught data professional. A Brief Introduction to Neural Networks: A Regression Problem (December 2022, 12 minutes) How do you go about learning a complex technical topic from scratch?

Many people imagine that data science is mostly machine learning and that data scientists mostly build and train and tweak machine-learning models all day long. In fact, data science is mostly turning business problems into data problems and collecting data and understanding data and cleaning data and formatting data, after which machine learning is almost an afterthought. Even so, it's an interesting and essential afterthought that you pretty much have to know about in order to do data science. Before we can talk about machine learning we need to talk about models. It's simply a specification of a mathematical (or probabilistic) relationship that exists between different variables.

Looking forward into the next decade, machines are likely to become much smarter. In the meantime, they need to start learning by analyzing vast amounts of data. The Machine Learning & Data Science Certification Training Bundle helps you explore this exciting field, with eight in-depth courses. You even learn how to build your own intelligent apps. You can get the bundle now for just $35 at the XDA Developers Depot.

Google's latest AI Experiment, Teachable Machine, is a teachable moment. Anyone with a Web camera, Internet access, and a bit of creativity can train a machine--no coding required. Fire up the program in your browser (desktop or mobile), then play around with different responses; a tutorial walks new users through the steps. Start by looking into the camera to record input in three different classes: green, purple, orange. While holding the colored button (to capture at least 30 examples), try waving your hand, making a funny face, and staring blankly.

From helping you find your favorite dog photos, to helping farmers in Japan sort cucumbers, machine learning is changing the way people use code to solve problems. But how does machine learning actually work? We wanted to make it easier for people who are curious about this technology to learn more about it. So we created Teachable Machine, a simple experiment that lets you teach a machine using your camera--live in the browser, no coding required. Teachable Machine is built with a new library called deeplearn.js,