Nowadays, people can run the world via their mobile phones. We can communicate with friends, perform task management, financial operations, order or buy things, and so on. Nearly every aspect of our lives is becoming easier and more convenient. From this perspective, the unstoppable growth of the digital banking system inspires me the most. People are ready to give financial institutions or branchless banks their money without visiting the official branch.
Machine learning is one of the top topics popular online. There appear more and more articles, discussions and examples of implementation of ML in solutions addressing real tasks in the media. Among implementation options, the highlight is on the feasibility of using machine learning models in mobile development. Being a Junior mobile developer, I wanted to become involved and figure out how neural nets are built and how they work.
My very first budgeting tool was MS Excel. It was a really convenient solution 12 years ago. I created my budget items and planned my expenses per month. Every evening I put some numbers in this document. These actions helped me to understand my expending performance. Using this information, I could improve it and save money for my big goals. Basically, with that spreadsheet, I started to understand my financial behavior and work with it.
“Wow! It is super cool!” — the most concise client’s feedback “We did the Clipshot app on the basis of the knowledge of mathematics, statistics and computer science” — points out the formula of success DashDevs CEO and technical lead Igor Tomych. A year after the release of the Clipshot mobile application we met Eli Huttner, Business Development Manager — our client at Double Alpha Academy, and made up our mind to share this story of innovation.