An Easy Way to Solve Complex Optimization Problems in Machine Learning
Source: here There are numerous examples in machine learning, statistics, mathematics and deep learning, requiring an algorithm to solve some complicated equations: for i...
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Top 6 Regression Techniques a Data Science Specialist Needs to Know
Perhaps most organizations already know what to do with the data gathered. The data is used to make better decisions at work, right? But do you have all the skills needed...
Measuring progress in Symbolic AI: the biggest surprise in AI trends report from Stanford
The biggest surprise for me in the “Measuring trends in Artificial Intelligence” from Stanford University (a must read BTW) is a section on measuring progr...
How to Begin Using DevSecOps for your Team
Image source As software developers, we are responsible not only for ensuring that all the features we program into our apps work as designed, we also need to make sure o...
Operationalizing AI – Introduction to the ModelOps Pipeline
Artificial Intelligence (AI) is all the buzz with everyone looking for ways to leverage AI in some capacity within their organization. Whether you’re running a business...
Permission marketing as a prerequisite Corona pandemic – compulsion to digitize
The need to digitize or reach customers online has gained momentum due to the current Corona Pandemic. An important cornerstone for digital customer control is the topic ...
Is investing in AI the highest ROI opportunity?
This article explores why AI is the highest ROI opportunity. How revolutionary the technology is as Artificial Intelligence (AI) progresses with each passing day, i...
How Automation can be used for faster recovery, revival, and improved resilience in the wake of COVID-19
Practically every industry — CPG, manufacturing, Pharma, and Financial Services — is in pursuit of automation in the wake of COVID-19. It is the antidote to u...
Gradient Boosting Classifier
What’s a Gradient Boosting Classifier? Gradient boosting classifier is a set of machine learning algorithms that include several weaker models to combine them into ...
The Rise of the Knowledge Scientist
The still young discipline of the management and governance of knowledge graphs (KG) is gradually beginning to consolidate on the basis of concrete project experience. I...