Artificial Intelligence (AI) is getting increasingly important in our modern world. AI techniques find applications in robotics, face recognition, machine translation, and self-driving cars. This is the best time to learn about AI software development!
This article will introduce the basics of AI software development by presenting five common challenges for people just learning the ropes. Each section will cover the challenge, why it’s a problem and how you can start overcoming it today!
- Not Knowing Where To Start
Most people interested in learning about AI software development find the field too vast and intimidating. The best approach is to take your first step! If you’re looking for a good first project, try building an X-Men character classifier bot. This simple text classification bot can classify mutants as good or evil. It’s an excellent way to learn about text classification, natural language processing, and even reinforcement learning!
- Knowing What To Study But Not Knowing How
One of the most significant challenges in AI development is deciding where to start. Many APIs, libraries, frameworks, and tools are great for making excellent products but can be a nightmare for learning. Because of this, it’s essential to have a good plan on what you want to learn and how you’re going to do it. Try using something like the AI Planning Framework as a starting point for your projects!
- Handling Data Collection And Cleaning
One of the most time-consuming steps in AI development is gathering and cleaning your data. There are many datasets for classification tasks, but they can be hard to find through all the information available online. Try using ImageNet if you want to get started quickly with a dataset.
- Using Libraries Correctly
Libraries are great resources for any developer to use when making applications. However, it’s important to remember that they are just tools meant for you to use! Always try to understand their underlying logic to learn something from them.
- Being Afraid Of Making Mistakes During Development
As with any new skill or technology, AI software development can be tricky at first. It’s important to know that mistakes are the best ways to learn! Try not to be hopeless or frustrated when you receive error messages left and right, your code isn’t working, or even if your dataset was complete junk. If anything, this means there is more for you to do and learn in AI software development!
The list only contains a few of the common challenges that beginner AI developers face. Fortunately, overcoming them is easy if you’re willing to put in the time and effort needed to become an expert! The goal of this article was to present five common roadblocks that many AI developers run into when first starting. Each section presented the challenge explained why it’s a problem and how you can overcome it!