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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
comprehensive vehicle valuations. It could also create new predictive vehicle valuation models. The book is
business opportunities, such as partnerships with insurance authored by Andrew Ng, one of the leading experts in
companies or car rental services, enabling more dynamic AI and machine learning.
pricing across various industries.
[4] "Introduction to Machine Learning with Python: A
Predictive Maintenance and Condition-Based Valuations: Guide for Data Scientists" Authors: Andreas C. Müller,
Future versions of Vehiclelogix could integrate predictive Sarah Guido Description: This book is excellent for
maintenance algorithms, allowing businesses to assess a those interested in applying machine learning
vehicle’s potential maintenance needs and condition over techniques to real-world problems like vehicle
time. Using IoT sensors and AI-powered diagnostics, valuation. It covers tools and techniques that can be
Vehiclelogix could predict when a vehicle is likely to require directly applied to predictive modeling.
significant repairs or replacement parts, and factor this into [5]
its valuation models. "Big Data in Practice" Author: Bernard Marr
Description: A practical guide to understanding how
Potential Benefit: Predictive maintenance would provide big data is being used across various industries. This
more granular insights into a vehicle’s health, enabling better can provide valuable insights into how large datasets
valuation decisions for both buyers and sellers. This would are utilized in business, including vehicle valuations.
also help reduce future repair costs, ensuring that vehicles [6]
are sold at more accurate prices based on their predicted "Machine Learning for Vehicle Valuation" Author:
John W. Van Boven Description: This paper focuses on
lifespan and condition.
how machine learning techniques are being
7. Conclusion integrated into vehicle valuation processes, similar to
Vehiclelogix represents a major leap forward in the way the what Vehiclelogix aims to accomplish.
automotive industry approaches vehicle valuation, offering [7] "Predictive Analytics in Automotive Sales" Author: R.
powerful predictive models that integrate vast amounts of G. Quarles Description: This paper discusses the role
data to produce accurate, real-time valuations. The of predictive analytics in improving sales forecasting
platform’s reliance on machine learning, telematics, and
market data provides businesses with actionable insights, and vehicle valuation in the automotive industry.
improving pricing strategies, inventory management, and [8] "Data-Driven Vehicle Pricing: Predictive Analytics in
decision-making across the automotive ecosystem. the Automotive Industry" Author: S. L. Graham
Description: This research focuses on how predictive
However, as with any advanced technology, Vehiclelogix analytics can optimize pricing strategies in the
faces several challenges, including data quality concerns, automotive industry, offering insights into the
integration difficulties, and the complexity of evolving potential of platforms like Vehiclelogix.
market trends. Despite these challenges, the future of
Vehiclelogix is bright, with opportunities for further [9] Kaggle - Vehicle Price Prediction Kaggle is an excellent
enhancement through AI advancements, blockchain resource for learning about machine learning
integration, and greater collaboration across the automotive applications in vehicle pricing. This dataset and the
value chain. community discussions can provide insight into how
data is processed for vehicle valuations.
As businesses continue to embrace data-driven solutions,
10.Medium - The Future of Automotive Data Analytics
Vehiclelogix is poised to become a key player in shaping the
A detailed article on how data analytics and machine
future of vehicle valuations, helping companies and
learning are revolutionizing the automotive industry,
consumers make more informed, transparent, and profitable
which directly aligns with the mission of Vehiclelogix.
decisions in a rapidly changing market. With continuous
improvement and adaptation to emerging trends, [10] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
Vehiclelogix could redefine how vehicles are priced, bought, “An Analytical Perspective on Various Deep Learning
st
and sold in the years to come. Techniques for Deepfake Detection”, 1 International
Conference on Artificial Intelligence and Big Data
References th th
[1] Predictive Analytics: The Power to Predict Who Will Analytics (ICAIBDA), 10 & 11 June 2022, 2456-
3463, Volume 7, PP. 25-30,
Click, Buy, Lie, or Die" Author: Eric Siegel
https://doi.org/10.46335/IJIES.2022.7.8.5
Description: This book provides a comprehensive
overview of predictive analytics, which is crucial for [11] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
understanding how data-driven models can be “Revealing and Classification of Deepfakes Videos
applied to vehicle valuation. Images using a Customize Convolution Neural
[2] "Data Science for Business: What You Need to Know Network Model”, International Conference on Machine
th
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about Data Mining and Data-Analytic Thinking" Learning and Data Engineering (ICMLDE), 7 & 8
Authors: Foster Provost, Tom Fawcett Description: A September 2022, 2636-2652, Volume 218, PP. 2636-
detailed exploration of how data science and analytics 2652, https://doi.org/10.1016/j.procs.2023.01.237
techniques can be applied in real-world business [12] Usha Kosarkar, Gopal Sakarkar (2023), “Unmasking
scenarios. It discusses methods such as regression Deep Fakes: Advancements, Challenges, and Ethical
models and machine learning, which are essential for Considerations”, 4 International Conference on
th
predictive vehicle valuation. Electrical and Electronics Engineering (ICEEE),19 &
th
th
[3] "Machine Learning Yearning" Author: Andrew Ng 20 August 2023, 978-981-99-8661-3, Volume 1115,
Description: This book provides insights into building PP. 249-262, https://doi.org/10.1007/978-981-99-
machine learning systems, which are foundational for 8661-3_19
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