Everything a computer knows or sees is in the form of either ones or zeros. This combination of ones and zeros allows computers to store data and perform mathematical operations. Ones and zeros are also referred to as bits. Computers have electrical components...
As AI and machine learning techniques are evolving quickly, data scientists need to constantly inform themselves in order to keep up with the latest breakthroughs and trends. A great way to do so is by attending conferences, which offer the opportunity to meet other...
Running into an old work buddy, chatting about the most cutting-edge technologies with like-minded people and learning from the best in data science via engaging live sessions. This is the in-person DSS event experience that we have missed so much for the past two...
Machine Learning (ML) models have shown great analytical and predictive benefits while processing vast amounts of data. These models provide significant value when deployed in a real-world production environment. DSS Founder and CEO Anna Anisin sat down with Miriam...
Data-driven, data-first–what every organization likes to be called, but only a few fit the description. Today, organizations cannot implement modern data-centric initiatives without formulating robust data engineering strategies. Data engineering is the process...
Building a successful machine learning model is no mean feat. It involves an arduous model-building phase and what comes next requires another rigor of maintaining the model output quality. A machine learning model once trained cannot live up to the changing data...
The retail industry has always been at the forefront of innovation. It started with the massive pivot of the customers from the brick and mortar to online shopping. Covid has further exacerbated this shift as is evident in the change in consumer preferences and buying...
Nearly one-third of enterprises admit they don't use AI-based solutions. Tackling the data, tech and deployment-related challenges in a large company can be overwhelming, but not impossible. Filipa Castro, Data Scientist at Continental shared some good practices with...
AI is everywhere and its rate of adoption has significantly increased since the digital acceleration seen through the usher of the covid period. But the aesthetics get worn out soon as the aspiring AI/ML projects do not live up to the potential and end up...
If you are planning to choose machine learning for your business problem assuming its predictions are always correct, then there is something you should know. Machine learning algorithms are probabilistic by nature and are not perfectly accurate. Then what should we...