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ThinkML Contributor

ThinkML Contributor

ThinkML Contributors are AI enthusiasts and volunteer authors passionate about exploring and writing on artificial intelligence, dedicated to sharing their expertise and insights with the community.

5 Best Kubernetes Course for DevOps Engineers

5 Best Kubernetes Course for DevOps Engineers

Kubernetes scales a Microservice architecture by automatically deploying and managing containers as needed. Microservice architecture is currently popular, making Kubernetes one of the most known tools for container orchestration. It is a must-to-learn skill for all DevOps engineers and Developers.

What are the Natural Language Processing Challenges, and How to Fix them?

What are the Natural Language Processing Challenges, and How to Fix them?

Natural Language Processing is a subfield of Artificial Intelligence capable of breaking down human language and feeding the tenets of the same to the intelligent models. Have you planned to use NLP as your model training technology? Read on to know the challenges and solutions to fix them.

Evaluating the Accuracy of AI Trends Predictions made by Top Enterprise Leaders - Then and Now

Evaluating the Accuracy of AI Trends Predictions made by Top Enterprise Leaders - Then and Now

At the beginning of 2019, enterprise leaders from different top tech companies, predicted Artificial Intelligence (AI) trends for future years. After two years, we reviewed their predictions to find out how accurately they predicted the developments in AI.

Top 10 AI predictions by enterprise leaders for 2019

Top 10 AI predictions by enterprise leaders for 2019

As we have entered into 2019 - folks are calling it the year of Artificial Intelligence, precisely Machine Learning and Deep Learning. Have a look what enterprise leaders are saying and what are their predictions about AI for 2019.

Data scientists are growing faster than demand, is it true?

Data scientists are growing faster than demand, is it true?

Data science is a field of Big Data geared towards providing meaningful information based on large volumes of complex data. Data science, or data-driven science, combines different fields of work in statistics and computation in order to interpret data for the purpose of decision making. Data scientists are in high