One of the most critical parts of learning to code is deciding where to learn. There are so many coding education platforms and courses to choose from!
Today, we’ll dive into one of the biggest course platforms out there: Udemy. Is Udemy good? How do Udemy courses work? This Udemy review will look at things like content quality, features, pricing, and ease of use—plus my personal tips and recommendations for courses on the Udemy platform.
Upwork holds a special place in my heart. It’s where I started freelancing when I was first learning tech skills, and also where I’ve hired freelancers to help me run Learn to Code With Me!
If you’d like to make money on Upwork as a web developer or other type of freelancer, it’s key to know how to set yourself apart from the competition. (Because Upwork has plenty!)
In today’s guest post, Chris Misterek shares his tips for how to be successful on Upwork.
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Want to work on exciting projects like Netflix’s movie/show recommendations, self-driving cars, image/speech recognition, or disease prediction? A career as a machine learning engineer may be the one for you!
Even if you’re not looking to start a career in machine learning just yet, learning about the role can help you decide if this career path is right for you. Also, even if you have very little tech experience, having a dream career in mind can motivate you and keep you on the right path as you learn to code.
Want to break into data science but don’t have a background in math? Maybe you’ve thought about data science as a career, but you’re worried about the math needed for data science because you think you’re not a numbers person.
First of all, can you actually break into data science without a background in math or STEM? The answer is yes! While data science requires a strong knowledge of math, the important data science math skills can be learned — even if you don’t think you’re math-minded or have struggled with math in the past.
What is machine learning? Essentially, it’s a way to get computers to learn and behave like humans do without being explicitly programmed to do so. Think Netflix’s recommendation engine, self-driving cars, face recognition when uploading photos to Facebook, etc.
Don’t worry — computers won’t be replacing humans anytime soon. Instead, machine learning is more of a tool that can help us solve complex problems more quickly and help us make more informed decisions.
How does machine learning work?