Anomaly Detection: Machine Learning, Deep Learning, AutoML

🌟 Course Title: Anomaly Detection: Machine Learning, Deep Learning, AutoML

Course Headline: Master Time Based, Non Time Based, and Image Anomalies | Insider's View on Library Data 🚀

Dive into the intricacies of anomaly detection with our comprehensive online course. SeaportAi presents an in-depth exploration of identifying irregularities and patterns within datasets, covering everything from time series to image analysis, all while unveiling the mysteries behind the scenes at a library!

Recent Updates 📣

• Feb 2023: Gain insights into explaining complex machine learning outcomes in our new video lecture dedicated to this intriguing domain.
• Jan 2023: Enhance your knowledge with advanced anomaly detection algorithms, including Auto Encoders, Boltzmann Machines, and Adversarial Networks through deep learning techniques.
• Nov 2022: Ever wondered what goes on inside a library? Our unique manual calculation of the isolation forest algorithm using data points provides an enlightening perspective!
• July 2022: Delve into the world of AutoML and discover how it simplifies deploying machine learning models without the need for extensive coding knowledge. Plus, learn to apply anomaly detection in PowerBI!
• June 2022: Predictive Maintenance is crucial for operational excellence. Our new video lecture covers High Impact Low Volume Events (HILVE) through predictive maintenance.
• May 2022: Compare the effectiveness of various anomaly detection algorithms with a focus on PyOD's ten algorithms in our latest video lecture.

Course Description

Anomalies are those data points that stand out from the rest, often indicating potential issues or opportunities for improvement within an organization. Anomaly detection has become a cornerstone of AI applications due to its versatility and applicability across various industries. It's a vital starting point for anyone embarking on their AI journey.

Key Applications of Anomaly Detection:

• Predictive Maintenance in manufacturing
• Fraud Detection across all sectors
• Surveillance for security and monitoring purposes
• Customer Service and Retail for customer behavior analysis
• Sales for forecasting and demand planning

This course will equip you with the knowledge to:

• Understand the three primary types of anomaly detection – time based, non time based, and image anomalies.
• Grasp fundamental machine learning and deep learning concepts that underpin anomaly detection.
• Work with both supervised and unsupervised algorithms like DBSCAN and Isolation Forest.
• Explore image anomaly detection through state-of-the-art deep learning techniques.
• Identify real-world scenarios where anomaly detection can be invaluable.
• Enhance your Python skills, or refresh your knowledge, with a comprehensive overview of its applications in anomaly detection.

Why Study Anomaly Detection?

Anomaly detection is at the forefront of AI applications, providing businesses with the ability to detect and respond to irregularities in real-time. By understanding this field, you open doors to a myriad of career opportunities and contribute significantly to the advancement of data science within your organization.

Join SeaportAi on this exciting journey into the world of anomaly detection. Whether you're a beginner or an advanced practitioner, this course offers something for everyone to enhance their skills and knowledge in this ever-evolving field. 🤓✨

Enroll now and take your first step towards becoming an expert in Anomaly Detection with Machine Learning, Deep Learning, and AutoML! Let's uncover the hidden stories within data together.