Rapid Fire on Artificial Intelligence

In lists, elements maintain their order unless they are explicitly commanded to re-order. These can be made up of any data type that can be all the same or mixed. However, elements in lists can only be accessed via numeric, zero-based indices. In a dictionary, the order isn’t guaranteed. However, each entry will be assigned … Read more

A feature vector is an n-dimensional vector that contains essential information that describes the characteristics of an object. For example, it can be an object’s numerical features or a list of numbers taken from the output of a neural network layer. In AI and data science, feature vectors can be used to represent numeric or … Read more

There are many disadvantages to using linear models, but the main ones are: Errors in linearity assumptions Lacks autocorrelation It can’t solve overfitting problems You can’t use it to calculate outcomes or binary outcomes Certainly! Here are some disadvantages related to linear models: Limited Complexity: Linear models assume a linear relationship between input features and … Read more

Collaborative filtering can be described as a process of finding patterns from available information to build personalized recommendations. You can find collaborative filtering in action when you visit websites like Amazon and IMDB. Also known as social filtering, this approach essentially makes suggestions based on the recommendations and preferences of other people who share similar … Read more

Python wasn’t built for data science. However, in recent years it has grown to become the go-to programming language for the following: Machine learning Predictive analytics Simple data analytics Statistics For data science projects, the following packages in the Python standard library will make life easier and accelerate deliveries: NumPy (to process large multidimensional arrays, … Read more