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Making sense of ensemble learning techniques - KDnuggets

Making sense of ensemble learning techniques - KDnuggets

For many companies/data scientists that specialize or work with machine learning (ML), ensemble learning methods have become the weapons of choice. As ensemble learning methods...

5 Concepts That Will Help Your Team Be More Data-Driven

5 Concepts That Will Help Your Team Be More Data-Driven

I’ve spent my career helping companies address their data and data quality opportunities. Overall, I rate progress as “slower than hoped.” While there are many contributing...

How to Make Remote Work Effective for Data Science Teams - KDnuggets

How to Make Remote Work Effective for Data Science Teams - KDnuggets

KDnuggets Home » News » 2020 » Mar » News, Education » How to Make Remote Work Effective for Data Science Teams (  20:n12  ) How to Make Remote Work Effective for Data Science...

How Data Science Could Revolutionize Population Health

How Data Science Could Revolutionize Population Health

Many factors that contribute to a person’s overall health, such as access to good schools and clean air, are not always considered by policies designed to improve the health of...

Difference between Data Analysis and Statistical Analysis

Difference between Data Analysis and Statistical Analysis

Fifty years, ago, the lines between "data analysis" and "statistical analysis" were pretty clear. But as data analysis evolved, those lines became blurred. The differences...

5 Most Preferred Programming Languages for AI Engineers in 2020

5 Most Preferred Programming Languages for AI Engineers in 2020

Near about 14% of the workforce or 375 million people worldwide could lose their jobs to AI and automation. Take a step back and look over the year that has gone by. What have...

Just How Much Do You Trust Your AI?

Just How Much Do You Trust Your AI?

Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem...

Overcoming Challenges in Implementation of Successful AI products

Overcoming Challenges in Implementation of Successful AI products

IT professionals acquire AI expertise in a short time by attending couple of online courses. Once the courses are completed successfully, these new gen AI experts look for...

The Stages of Learning Data Science

The Stages of Learning Data Science

Many people think of learning data science as a linear process. In truth, it is a messy progression that is closer to a series of plateaus. Luckily, there is already a pretty...

How to make time-data cyclical for prediction?

How to make time-data cyclical for prediction?

There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not possible because time can not be...

Nine lessons learned during my first year as a Data Scientist - KDnuggets

Nine lessons learned during my first year as a Data Scientist - KDnuggets

What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business...

The Most Important Lessons Learned As Data Scientists

The Most Important Lessons Learned As Data Scientists

For several years now, much of the discourse around emerging technologies has focused on one key thing: data science. This has spawned an information influx on how to...