At Data Science Dojo, we invest in up-and-coming data scientists who have the potential to grow into master Jedi with the breadth and depth to work on almost any data problem. We often find people who have solid knowledge of data science but lack the real-world experience to know how to tackle complex problems that go beyond the textbook.
While Data Science is a buzzing field, it is also a highly competitive and requires interdisciplinary skills. As a result, a lot of data science professionals are finding it hard to hold.
IBM, Amazon, and Microsoft are among the tech giants that employ large numbers of data scientists, engineers, architects, and database administrators, according to Diffbot.
The hype machine is cranked up to an 11 on the topic of machine learning (sometimes called artificial intelligence, though I don't call it that because AI is not really intelligence and there’s nothing artificial about it). Machine learning will either empower the world or take it over, depending on what you read.
Deep learning is growing in both popularity and revenue. In this article, we will shed light on the different milestones that have led to the deep learning field we know today. Some of these events include the introduction of the initial neural network model in 1943 and the first use of this technology, in 1970.
Data Science Dojo’s bootcamp is endorsed under Singapore’s SkillsFuture Series. Citizens and permanent residents of Singapore may qualify to have their bootcamp supported by this government skills training program.
