Then you can start learning basic concepts, such as variables, operators, data types, and input / output . Apart from that, you also need to learn various basic logic in programming such as branching, looping, functions, etc. Eits , even though this looks like a lot, don’t give up just yet, okay! Come on, let’s move on to the next tip!
Tip 3: Use Online Platforms to Learn Coding
For those of you who are confused about where to start, Dicoding is an online platform that provides materials and tutorials to help you become a Machine Learning Developer with global standards.
Platform to learn coding
You can study the Learning Path Machine
Learning Developer to learn coding from basic to advanced material. Not only material, you will also get 1-1 Professional Code Review to validate your understanding directly from the experts .
In addition, you can use the curriculum contained in this Learning Path as preparation material in taking global certifications, such as the TensorFlow Developer Certificate .
If you are interested in learning it and VP Manufacturing Production Email Lists want to try it for free, you can use the following link to get access to free learning for 15 days.
Tip 4: Join the Developer Community
In the process of learning something, of course, it will be easier if we have friends. This also applies when you want to learn coding . Joining the community can help you gain insight and gain support from fellow developers.
Then, this will help you build a network or even find a mate . You can search for developer communities on the internet, starting from joining online forums , Facebook groups, or attending events, such as offline meetups .
Tip 5: Read the Documentation
In the process of learning to code for machine learning development needs , you will probably start using various libraries related to it. So, for this purpose, you need to study the documentation regarding machine learning libraries available on the internet.
Reading documentation is a very important
skill in learning and developing skills in the fields of programming and machine learning . The documentation provides detailed information about the functions , methods , and classes available in the library you are using. By reading the documentation, you can understand how to properly use and take advantage of these features.
Additionally, documentation often includes best practices , guidelines, and style of code recommended by library developers . Following these guidelines helps you write code that is cleaner, structured and easy for others to understand.
Tip 6: Get Your Hands Dirty
One of the best ways to learn is to try to apply CRYP Email List what you learn in a real project. Start with simple projects, such as image recognition or data classification, and work your way up the complexity of your projects over time.
Through simple projects, you can apply the concepts you have learned in real contexts. This helps you solidify your understanding of algorithms and techniques in machine learning , and how they work in practice. Plus, a real project like this one can be part of your portfolio to demonstrate machine learning capabilities to potential employers or colleagues.
Tip 7: Keep Learning and Improving Your Skills
As we all know, technological developments are very fast, especially in the field of AI and machine learning . Therefore, it is important to stay up to date with the latest developments and train regularly. Take online courses , read books, join machine learning communities , and get involved in real projects.
Okay, those are some tips about learning coding that can help you become a reliable Machine Learning Developer ! Hope this helps, yes, Coders .
