Transfer Learning
As the datasets increase drastically, we are developing skills to enhance the way we train deep neural networks. This helps data scientists map the...
Federated Learning
As experts look into the future advancements that can benefit the world, they are emphasizing data privacy. As artificial intelligence is developing the ability...
Interpretability in Machine Learning
“Interpretability” refers to the extent to which you can understand the reasoning behind a decision. On the other hand, Machine Learning allows a computer...
Functional Programming
In functional programming, you design software using pure functions. Furthermore, it reduces the risk of side-effects, mutable data, and shared state. You can use...
2021 Data Science Trends
2020 was a challenging year for just about everyone. While it was full of unexpected events, it allowed the implementation of new developments in...
Computer Vision and Healthcare
We have been predicting an era of Robots in the Virtual World for decades, but for decades, people have been skeptical. Up until a...
Machine Learning in Julia
Python, no doubt, is the leading coding language in machine learning. Due to its immense popularity, it can help you perform numerous tasks and...
Golang
If you are creating your first ever machine learning project, you’re probably wondering how you can choose a language with so many sound options....
Q-Learning
While training a pet, you reward them with every correct response. You can follow the same reward-based training for software or robot, so the...
Bayesian Networks
Creating a probabilistic model can be challenging but proves helpful in machine learning. To create such a graphical model, you need to find the...