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Research analysis on the global deep learning courses for NLP market identifies that the increasing applicability in customer-centric organizations will be one of the major factors that will have a positive impact on the growth of the market. The in-depth learning to work 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 organizations are implementing these courses to enhance their product portfolio. This deep learning will enhance several features of NLP, such as sentiment analysis, that help the company gain insights about the feelings of customers, thereby enabling them to provide enhanced services to customers and predict the customers' behavior. According to the deep learning courses for NLP market analysis, Technavio’s market research analysts predict that this market will grow at a CAGR of more than 22% by 2021.
In terms of geography, Americas contribute the largest revenue share, in 2016. The major factor contributing to the growth is the increased emphasis on the adoption of AI in most of the industries across the region. The informal education segment dominates the Americas as there are many established and local players catering to the growing demand of the market.
Owing to the presence of several local and regional vendors, this market appears to be fragmented and competitive. Vendors in this market majorly compete on the price and the mode of delivering the training. Most of them provide online learning with a few of them providing blended learning services as well. The large vendors have a strong geographic presence with training centers across multiple cities in various countries.
The leading vendors in the market are -
The other prominent vendors in the market are Class Central, edX, EIT, IBM, NobleProg, Nvidia, and Udacity.
During 2016, the informal education segment accounted for the major shares of this market. The segment includes certification courses that are catered toward providing students with the knowledge of advanced processes involving the extended application of deep learning in NLP. This factor will impact the deep learning courses for NLP market growth.
The online learning segment accounted for the largest revenue share, in 2016. The online training courses involve the use of specialized software, such as Tensorflow and Python, which serve as programming languages and computing tools. The online training generally requires hands-on lab work and includes practical applications and assignments.
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PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
PART 05: MARKET LANDSCAPE
PART 06: MARKET SEGMENTATION BY COURSE
PART 07: MARKET SEGMENTATION BY MODE OF DELIVERY
PART 08: REGIONAL LANDSCAPE
PART 09: DECISION FRAMEWORK
PART 10: DRIVERS AND CHALLENGES
PART 11: MARKET TRENDS
PART 12: VENDOR LANDSCAPE
PART 13: KEY VENDOR ANALYSIS
PART 14: OTHER PROMINENT VENDORS
PART 15: APPENDIX
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