In machine learning, crowd wisdom is achieved through ensemble learning. For many problems, the result obtained from an ensemble, a combination of machine learning models, can be more accurate than any single member of the group.
In machine learning, crowd wisdom is achieved through ensemble learning. For many problems, the result obtained from an ensemble, a combination of machine learning models, can be more accurate than any single member of the group.
Artificial Intelligence is at its highest point ever. Results have never been so good. Here is a compile of state-of-affairs report on AI, covering the latest research, industry, talents, and policy news, and predictions for 2021.
With enterprise adoption lagging, 2021 may not turn out to be the year of AI. But it will certainly see more breakthroughs like the ones we’ve seen this year and will carry us into the next phase of an inexorable march forward towards greater intelligence.
There is no one size fits all when working with imbalanced datasets. You will have to try multiple things based on your problem. This post talks about the usual suspects whenever one faces such a problem.
Machine learning is now seen as a silver bullet for solving all problems, but sometimes it is not the answer. There are times when machine learning is the right solution, and times when it is the wrong solution.
If you feel Machine Learning is for you, just go for it. But Machine Learning is not for everyone and everyone doesn’t need to know it. If you are a successful Software Engineer and you’re enjoying your work, just stick with it. Some basic Machine Learning tutorials won’t help you progress in your career.
In 2021, cybersecurity vendors will accelerate AI and machine learning app development to combine human and machine insights so they can out-innovate attackers intent on escalating an AI-based arms race.
The relationship between humans and AI is something of a dance. We and AI come close together operating collaboratively, then are pushed away by the impossibility, only to stumble but return attracted by the potential.
As the year is drawing to close, data and analytics experts have already started putting together a list of data analytics trends and predictions we can expect to see next year. Here are some of the trends that would dominate the market.
Should you store business rules in your Enterprise Knowledge Graph (EKG)? This is a non-trivial question, and how you answer, it might change your enterprise knowledge graph strategy.
For scientists and researchers working in diverse fields with data analysis, a thorough understanding of the tools of data science is a great place to start. For engineers who seek to build intelligence into software or hardware products, machine learning or more generally AI may be a logical path.
In the next few years, we will have some nice tools for automating the building of a machine learning pipeline.
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