Global Deep Learning Courses for NLP Market 2017-2021
About Deep Learning Courses for NLP
NLP is the field of computer science, artificial intelligence and computational linguistics that are associated with the interactions between computers and human. Due to the advancements in technology and its increased penetration in the education market, institutions have begun to experience a rapid change in the teaching delivery model. Therefore, educators are capitalizing on the opportunity to use technology to its fullest potential. Governments across the world are focusing on developing a digital education environment through grants and funds, resulting in an increase in the monetary support for educational institutions specifically those operating in developing regions. This has helped many institutions to adapt to modern and advanced educational methods. Geographically, North America is the largest contributor of revenue to the market due to its technologically advanced infrastructure and the ability to adopt advanced Information Technology (IT) hardware and other technological innovations at an early stage.
Technavio’s analysts forecast the global deep learning courses for NLP market to grow at a CAGR of 22.42% during the period 2017-2021.
Covered in this report
The report covers the present scenario and the growth prospects of the global deep learning courses for NLP market for 2017-2021. To calculate the market size, the report considers the revenue generated from the training vendors and institutes.
The market is divided into the following segments based on geography:
Technavio Announces the Publication of its Research Report – Global Deep Learning Courses for NLP Market 2017-2021
Technavio recognizes the following companies as the key players in the global deep learning courses for NLP market: Coursera, Stanford University, Udemy, and UpX Academy
Other Prominent Vendors in the market are: Class Central, edX, EIT, IBM, NobleProg, Nvidia, and Udacity.
Commenting on the report, an analyst from Technavio’s team said: “The latest trend gaining momentum in the market is Growing popularity on seminars. In the past few years, many low-cost and highly capable machine learning platforms have gained traction introducing students to the concepts of deep learning, machine learning, and other AI related concepts applicable to all grade levels. As a result, there is an increase in the number of workshops and seminars catering to the spread and awareness along with the practical teaching of concepts of deep learning and NLP. These workshops and seminars usually range between $6000 to $16,000 and are rapidly gaining traction in EMEA and APAC.”
According to the report, one of the major drivers for this market is Increasing applicability in customer centric organizations. The main reason catering to the industry wide application of deep learning courses for NLP is attributed to its complex data driven applications. The ability of deep learning to work efficiently with high data volumes, high computing power, improved data storage, and efficient recognition of various aspects, especially in the areas of voice recognition and pattern recognition. The rapid data being generated in different end-user industries, especially the service based industry is providing traction to the industry growth.
Further, the report states that one of the major factors hindering the growth of this market is Increasing number of MOOCs. Due to the advent of massive open online courses, a variety of deep learning courses for NLP are available in the market for free. Vendors, such as the Stanford University and Oxford University, along with certain websites, such as Class Central, offer NLP classes with deep learning for free of cost. These open-source solutions allow an unlimited number of users to take part free of charge. MOOCs are also gaining interest among end-users who enroll in free courses solely for knowledge development and enhancing their skills.
Coursera, Stanford University, Udemy, UpX Academy, Class Central, edX, EIT, IBM, NobleProg, Nvidia, and Udacity.