This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
There are different ways to define common sense machine learning. It could mean using simple models whenever possible, avoiding overfitting, correctly selecting features, or doing… Read More »Common Sense Machine Learning
Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. The catastrophic disruption of the global pandemic did not slow down the need for systems,… Read More »5 data trends business leaders should anticipate in 2022
Machine learning and deep learning have become standard tools in a data scientist’s toolbox, applied to generate insights into large amounts of data. But organizations… Read More »DSC Podcast Series – Why and How to Partner Machine Learning with Math Optimization.mp4
Data science is a wide field with many specializations, and an individual can have a great career with a data science degree. However, curriculums vary… Read More »Make Sure Your Online Data Science Courses Teach These 6 Core Skills
If you are employed as a data scientist and have survived (or strived!) in your position for more than a year, chances are you are… Read More »18 Differences Between Good and Great Data Scientists
As business decisions are becoming more and more complicated, Decision Analytics are becoming increasingly important and a way analytics teams can differentiate themselves from the… Read More »DSC Podcast Series – Navigating Decision Trade offs – Scratching the Surface with Math Optimization.mp4
Introduction In recent years technology has become prominent, both at work and at home. Machine learning (ML) and Artificial Intelligence (AI) are evolving quickly today.… Read More »How AI and ML are transforming data quality management?
Data has become a huge area of business, helping businesses to drive their intelligence, make better decisions, and formulate strategic plans for future growth.
While data compliance is the practice of organizations ensuring that all sensitive data is managed and organized in a way that enables them to meet… Read More »Benefits of Data Governance and Compliance
Globally, many think that data scientist is the best job after Harvard declared it to be one of the hottest jobs of the decade. And… Read More »Why Data Engineers are in Greater Demand than Data Scientists
