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.
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
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
I tested the job market in the last two weeks, both as an applicant, and as a hiring manager. I share my experience here. It… Read More »The Myth of Analytic Talent Shortage
What is Data Science? Data science is a study that helps us to extract information from a set of structured or unstructured data. It makes… Read More »How Python Became The Language for Data Science
In today’s landscape, businesses need to look for any competitive advantage they can to ensure their survival, growth and success. A key aspect of gaining… Read More »Three Critical Steps for Data-Driven Success
