** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.
Science Net
ICSTMMLA · Registering as Listener

International Conference on Statistical Techniques for Machine Learning and AI

5–6 Aug 2026 Santos, Brazil Standard / Virtual Participation
Listener Registration From
$254
virtual · $254 in person
Registration Benefits:
Official invitation letter
Issued automatically after registration
Certificate & digital materials
Get certificate, slides and resource materials
Supporting global research
Connect with researchers across 30+ countries

1Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

2Your details

We only need what's required to register and email your confirmation. Everything else is optional.


3Coupon Code (If Any)

SPECIAL OFFER
10% OFF up to USD 30
USE COUPON CODE
FAST10
Available
Apply

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Conference Session Tracks

SDG-Aligned Research Themes

The ICSTMMLA conference tracks support global knowledge exchange, innovation and sustainable development priorities across Statistics,Data Science and related disciplines.

01 Advanced Statistical Techniques in Machine Learning +
This track focuses on innovative statistical methodologies that enhance machine learning models. It aims to explore the integration of classical statistics with modern computational techniques.
02 Predictive Analytics and Its Applications +
This session will delve into the use of predictive analytics across various domains, highlighting case studies and real-world applications. Participants will discuss the statistical foundations that underpin effective predictive modeling.
03 Data Science and Statistical Inference +
This track emphasizes the role of statistical inference in data science, particularly in drawing conclusions from data. It will cover both theoretical frameworks and practical implementations.
04 Machine Learning Algorithms: Statistical Perspectives +
This session aims to provide insights into the statistical underpinnings of various machine learning algorithms. Discussions will include the evaluation of model performance through statistical metrics.
05 Clustering Techniques in Big Data +
This track will explore advanced clustering methodologies suitable for large datasets. Participants will examine the statistical challenges and solutions associated with clustering in big data environments.
06 Simulation Techniques for Statistical Modeling +
This session focuses on the application of simulation methods in statistical modeling and analysis. Participants will discuss how simulation can aid in understanding complex statistical phenomena.
07 Neural Networks and Statistical Learning +
This track investigates the intersection of neural networks and statistical learning theories. It will cover the statistical principles that guide the design and evaluation of neural network models.
08 Optimization Algorithms in Statistical Analysis +
This session will focus on optimization techniques that enhance statistical analysis and modeling. Participants will explore various algorithms and their applications in statistical problem-solving.
09 Pattern Recognition: Statistical Approaches +
This track highlights statistical methods used in pattern recognition tasks. Discussions will focus on the theoretical and practical aspects of recognizing patterns in diverse datasets.
10 Computational Statistics and Its Applications +
This session will cover the role of computational statistics in modern data analysis. Participants will discuss algorithms and software that facilitate statistical computations in various research fields.
11 Quantitative Methods for Decision Support +
This track focuses on quantitative methods that support decision-making processes in various sectors. Participants will explore statistical techniques that enhance the quality and reliability of decisions based on data.

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10