In recent years deep learning has proved to be a critical aspect of machine learning with exciting applications to solve real-world problems across different sectors. Starting from creating virtual assistants, visual recognition and language translation to fraud detection, document processing, as well as self-driving cars, deep learning has proved to be immensely beneficial. As a matter of fact, in many areas, deep learning has also outsmarted traditional machine learning. With the field becoming popular among businesses, many conferences have emerged that delve deeper into the field of deep learning for people to understand it better. Not only these events will provide a deeper understanding of the advancement of deep learning space but will also offer a chance for deep learning practitioners to network with experts and researchers from the field.
However, one of the ways professionals are keeping up their relevance in their organisations as well as in the industry is by upskilling and learning the latest tools and technologies of this evolving field. Webinars and workshops have always been an excellent way for professionals and enthusiasts to keep themselves updated with the latest trends and technologies. For attendees, these webinars and workshops are not only an easy way to know and train themselves on the latest tools and technologies but also allows them to hear from the best minds of the industry on relevant topics. In fact, for a few years now, large tech companies have been conducting free webinars and workshops, which will not only boosts the community and users at large but also acts as a great marketing tool for advertising their solutions and services. With machine learning being explored in various industries, including healthcare, eCommerce, finance and retail, the possibilities are endless.
With deep learning gaining its momentum in fields like self-driving cars, object detection, voice assistants and text generation, to name a few, the demand for deep learning experts in organisations has also significantly increased. As a matter of fact, big tech companies like Facebook, Google, Apple as well as Microsoft have started investing heavily on deep learning projects which, in turn, increase the number of deep learning open jobs in the market. Having said that, deep learning is one of the complex subsets of machine learning and envelops several layers of components which cannot be grasped in a day. Hence, despite the high demand, there is indeed a gap in deep learning talent for organisations. Not only does it come with prerequisites of linear algebra and calculus knowledge but also enough interest to pursue a complicated subject like deep learning.
The Computer Vision Developer Conference, CVDC 2020, has interesting talks and sessions around the latest developments in the field of computer vision. The two-day conference, scheduled for 13 and 14 August will host paper presentations, tech talks and workshops for computer vision practitioners. The virtual conference will uncover some of the most interesting developments, and the latest research and advancements in this area, which is witnessing some interesting use cases across the world. Know more about CVDC 2020 here. Here are 11 interesting talks, workshops and sessions that you should definitely attend.
Whether you're interested in cognitive computing, artificial intelligence or machine learning, you probably know that the fourth industrial revolution is well underway and accelerating rapidly. The speed of change presents a challenge to developers who want to stay abreast of the latest ideas and approaches. Conferences, workshops and other meetings provide opportunities to learn where the jobs and technology is headed and a chance to learn and practice the skills necessary to keep up. Why you should attend: AI engineers, practitioners, researchers and scientists will discuss the latest developments in the field, while tutorials and workshops will give attendees a chance to hone their skills. Speakers will be drawn from a wide variety of sectors, including Microsoft, MIT, the National Science Foundation and NASA Ames Research Center.