TY - JOUR
T1 - EXPLORING NVIDIA'S EVOLUTION, INNOVATIONS, AND FUTURE STOCK TRENDS
AU - Wang, John
AU - Hsu, Jeffrey
AU - Qin, Zhaoqiong
N1 - Publisher Copyright:
© 2024, Association for Industry, Engineering, and Management Systems (AIEMS). All rights reserved.
PY - 2024/3/1
Y1 - 2024/3/1
N2 - This paper undertakes a thorough examination of Nvidia's stock market performance, intertwining historical analysis with forward-looking projections to illuminate the dynamic trajectory of this semiconductor industry giant. Commencing with a retrospective review, the authors delve into pivotal milestones, technological innovations, and strategic maneuvers that have shaped Nvidia's stock evolution. Utilizing advanced machine learning algorithms, including Random Forest and Support Vector Regression (SVR), alongside traditional statistical forecasting methods, we forecast future patterns. Through the incorporation of emerging industry dynamics, technological advancements, and market forecasts, our goal is to furnish stakeholders with insights pivotal for strategic decision-making. This dual perspective, encompassing both historical retrospection and future outlook, weaves a holistic narrative capturing the essence of Nvidia's stock market journey. It serves as a valuable resource for avid readers navigating the ever-changing landscape of the semiconductor market, especially considering the expanding role of Nvidia's GPUs in Artificial Intelligence (AI) and deep learning applications.
AB - This paper undertakes a thorough examination of Nvidia's stock market performance, intertwining historical analysis with forward-looking projections to illuminate the dynamic trajectory of this semiconductor industry giant. Commencing with a retrospective review, the authors delve into pivotal milestones, technological innovations, and strategic maneuvers that have shaped Nvidia's stock evolution. Utilizing advanced machine learning algorithms, including Random Forest and Support Vector Regression (SVR), alongside traditional statistical forecasting methods, we forecast future patterns. Through the incorporation of emerging industry dynamics, technological advancements, and market forecasts, our goal is to furnish stakeholders with insights pivotal for strategic decision-making. This dual perspective, encompassing both historical retrospection and future outlook, weaves a holistic narrative capturing the essence of Nvidia's stock market journey. It serves as a valuable resource for avid readers navigating the ever-changing landscape of the semiconductor market, especially considering the expanding role of Nvidia's GPUs in Artificial Intelligence (AI) and deep learning applications.
KW - Deep Learning Applications
KW - Innovations, AI
KW - Machine Learning
KW - Random Forest
KW - Support Vector Machine
UR - http://www.scopus.com/inward/record.url?scp=105001707666&partnerID=8YFLogxK
U2 - 10.62704/10057/28082
DO - 10.62704/10057/28082
M3 - Article
AN - SCOPUS:105001707666
SN - 3065-1433
VL - 17
SP - 21
EP - 46
JO - Journal of Management and Engineering Integration
JF - Journal of Management and Engineering Integration
IS - 1
ER -