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Applied Data Science and AI Machine Learning for Cybersecurity Professionals

Applied Data Science and AI Machine Learning for Cybersecurity

 

Data Science, Artificial Intelligence, and Machine Learning have transitioned from mere buzzwords to indispensable tools in our cybersecurity arsenal. However, understanding these technologies can be daunting, especially for those without a mathematics or data science background. This course will demystify machine learning and data science by emphasizing hands-on problem-solving over theoretical discussions.

Unlike other courses, which may focus solely on theory or trivial exercises, this course strikes a balance. We cover essential theory and mathematical fundamentals, applying them directly to solve real-world information security challenges. Through hands-on projects, you'll gain practical experience and learn to use various statistical, probabilistic, and mathematical tools effectively.

Key Topics Covered:

- Data acquisition from SQL, NoSQL document stores, web scraping, and other sources
- Data exploration and visualization
- Descriptive and inferential statistics, probability, and Bayesian inference
- Unsupervised learning and clustering
- Deep learning neural networks, including autoencoders and convolutional networks
- Embedding layers

This course will benefit your organization by:

- Generating insightful visualization dashboards
- Solving problems using neural networks
- Enhancing the effectiveness, efficiency, and success of cybersecurity initiatives
- Developing custom machine-learning solutions tailored to your organization's needs

Upon completion, you'll be able to:

- Apply statistical models effectively to real-world problems
- Create data visualizations
- Conduct mathematics-based threat hunting on your network
- Understand and implement unsupervised learning and clustering methods
- Build deep learning neural networks, including convolutional networks
- Develop and comprehend genetic search algorithms

Included with the course:

- Supporting virtual machine
- Jupyter notebooks containing all labs and complete solutions

This course will equip you to:

- Develop AI anomaly detection tools
- Model information security problems effectively
- Create useful visualization dashboards
- Solve problems using neural networks

Data Science and AI Machine Learning for Cybersecurity

$1,195.00Price
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