Top 8 Deep Learning Concepts Every Data Science Professional Must Know
“Deep learning is making a good wave in delivering a solution to difficult problems that have been faced in the field of artificial intelligence (AI) for so many years, as quoted by Yann LeCun, Yoshua Bengio & Geoffrey Hinton.”
For a data scientist to successfully apply deep learning, they must first understand how to apply the mathematics of modeling, choose the right algorithm to fit your model to the data, and come up with the right technique to implement.
In order to get you started, we have come up with a list of deep learning algorithms needed by every data science professional.
The best-laid plans of mice and men often go amiss” – a saying by poet Robert Burns.
In January 2020, most businesses laid out ambitious plans, covering a complete roadmap to steer organizations through the months to follow. But to our dismay, COVID-19 impacted the world in ways we could never imagine, proclaiming pointless many of these best-laid plans.
And to avert the crisis, organizations had to become more adaptable seemingly overnight.
As the pandemic continues to disrupt lives, markets, and societies at large, organizations are seeking mindful ways to pivot and weather all types of disruptions.
Big Data Trends in 2021
Big data has been and will continue to be a crucial resource for both private and public enterprises.