Mohamed Sallam- Posted on
Data Science is a multidisciplinary field that combines statistical analysis, computer science, and domain expertise to extract insights and knowledge from data. It involves data collection, cleaning, processing, analysis, and visualization to derive insights and knowledge from data.
Machine Learning, on the other hand, is a subset of Data Science that involves the use of algorithms and statistical models to enable machines to learn from data and make predictions or decisions without being explicitly programmed. Machine Learning algorithms can be supervised, unsupervised, or semi-supervised, and they use techniques like regression, classification, clustering, and deep learning to make predictions or decisions based on data.
Cloud computing is driving a significant shift in Data Science and Machine Learning by making it easier and more cost-effective to perform complex data analysis, build machine learning models, collaborate, and innovate. As cloud technology continues to evolve, we can expect to see even more exciting developments in these fields.
As companies increasingly move to the cloud, there is a growing demand for Data Scientists and Machine Learning experts who possess cloud skills. According to the researchs, more than 30% of job openings in in Data Science and Machine Learning field already require cloud skills, and this figure is expected to rise in the future.
To prepare and secure your career in the technology field, follow these steps:
• Be adaptable to change: Take proactive steps to acquire cloud computing skills.
• Obtain cloud certifications: Earn certifications from recognized providers such as AWS, Google Cloud, or Azure.
• Stay informed: Keep up-to-date with the latest developments in Data Science, Machine Learning, and cloud computing.
Cloud computing is poised to drive a significant disruption in the Data Science and Machine Learning industry. To stay ahead of the curve, it is crucial to prepare for this change, secure your career, and leverage the disruption to your advantage.
