Data Science What is Exploratory Data Analysis? Yes, another post on EDA Learn how to make your data beautiful and understandable with Exploratory Data Analysis (EDA) libraries and features importance, selection and extraction.
Data Science Clean Up Your Data Science Mess In Data Science, moving from experimentation to production is a challenge. Here's how you can clean up the mess and implement DataOps practices.
Artificial Intelligence What are Loss Functions? An overview of the different types of Loss Functions used to train Neural Networks. Python code and graphs included.
Artificial Intelligence Designing trustworthy AI applications Today, designing AIs you and your customers can trust is more than a competitive advantage, it's a necessity. Let's look at why and how companies can deliver on that promise.
Artificial Intelligence What are activation functions? Activation functions are crucial components of neural networks. Here's an overview of the different types and how to use them. Code included.
Artificial Intelligence Binary and Multiclass Text Classification (auto detection in a model test pipeline) Visualize all your NLP metrics to decide which categories of algorithms are better suited to your text data.
Natural Language Processing Model Selection in Text Classification How to select NLP models for text classification with comparison between classical machine learning and deep learning algorithms with cross-validation.
Artificial Intelligence Introducing Flows: from data to AI without a single line of code In a previous post we looked at why enterprise AI is broken and introduced Deepflow, our solution to put data science in the hands of non-developers. Traditionally, there are two
Data Science Putting data science in the hands of domain experts Introducing Deepflow, the 1st low-code data science platform. No coding or IT required. Working with data always feels like being in the trenches. Thankfully, today’s technological landscape bares almost
