A good accuracy score in machine learning depends highly on the problem at hand and the dataset being used. High accuracy is achievable in some situations, while a seemingly modest score could be outstanding in others. Many times, good accuracy…
Data science is a rapidly growing field that has become increasingly important in today’s world. It involves using mathematical and statistical methods to extract insights and knowledge from (you guessed it) data. A couple of key concepts in data science…
I’ll be honest; choosing the right algorithm for machine learning can be one of the most challenging parts of our jobs. Don’t worry; we’re here to help. In this article, we’ll be breaking down the process of selecting the perfect…
The tech-savvy world we live in today is a double-edged sword. On the one hand, technology has made our lives easier and more convenient by opening us up to new technologies like machine learning and data science. On the other…
Machine learning models have become a cornerstone of many industries, providing valuable insights and predictions based on the vast amounts of data that are out there. However, as data scientists and machine learning engineers, we always strive for greater accuracy…
In the world of technology, programming and machine learning are two distinct but highly related disciplines used to “make computers do things.” The key difference between programming and machine learning is that programming relies on instructions from a programmer to…
If you’re outside tech, I could see how these two may seem similar – but trust me, they’re not. While being two of the top tech jobs, data science and full-stack development are two very different realms within the business…
Yeah, we get it – everyone tells you there are 5-10 different IDEs you can use and then gives you the pros and cons of each. We’re not going to do that. Regarding the best IDE for data science (especially…
When you think about it, data science and economics have a ton in common. Both disciplines use data to make informed decisions – economists use economic data to understand how people behave when making choices about money, while data scientists…
Data science is a rapidly growing field requiring some hardware to start. This isn’t because someone wants to take your money – if you want to build cool models, you’ll need enough RAM to fit those datasets into memory. Many…