Comprehensive GMLE practice tests covering anomaly detection, CNNs, Python, data prep, and more. Ace your exam!
Sub Category
- IT Certifications
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Objectives
- Understand anomaly detection and optimization using autoencoders.
- Apply genetic algorithms for neural network optimization.
- Master clustering and unsupervised machine learning concepts.
- Use CNNs for classification and predictive analytics.
- Prepare and clean data for threat hunting analysis.
- Access data from SQL, document stores, and web scraping.
- Utilize Python libraries (NumPy, Pandas, TensorFlow) for ML tasks.
- Learn deep learning concepts, including loss functions and tensors.
- Apply probability theory, Bayes theorem, and Fourier series.
- Understand SVMs, decision trees, random forests, and regressions.
Pre Requisites
- Understanding of machine learning concepts
- Familiarity with Python programming and its libraries (NumPy, Pandas, TensorFlow)
- Knowledge of data manipulation and preparation techniques
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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