Microsoft Malware Detection using Machine Learning
Microsoft Malware Detection using DSML
Srikanth Varma,
Lead DSML Instructor at Scaler
About this Free Microsoft Malware Detection using Machine Learning Course
Dive into the intricacies of cybersecurity with our Microsoft Malware Detection course. Explore the landscape of malware detection, from defining the problem to deploying advanced machine learning models. Gain insights into data analysis, feature extraction, and model performance evaluation. Join us as we tackle the challenges of cybersecurity and equip you with the skills to defend against evolving cyber threats.
5
Audio: English
Subtitles: English
Duration
1h 44m (1 Modules)Course Level
BeginnerCertificate
IncludedWhat you’ll learn
The skills that you would learn after taking up this Microsoft Malware Detection using Machine Learning online course are:
- Problem definition in a business/real-world context
- Objectives and constraints in addressing the problem
- Formulation of the machine learning problem
- Feature extraction from byte files during exploratory data analysis
- Multivariate analysis of features extracted from byte files
- Distribution of classes in the training and test sets
- Implementation of k-NN model
Course Content
1 Modules | 20 Lessons | 1h 44m
Certificate for Free Microsoft Malware Detection using Machine Learning
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Instructor of this course
Lead DSML Instructor at Scaler
2000+ Students on Scaler Platform
600+ Hours of Lectures Delivered
5 Star Instructor on Scaler
9 Courses
- Co-Founder & Principal Instructor, Applied AI & AppliedRoots
- Senior ML Scientist @ Amazon, Palo Alto and Bangalore
- Co-Founder, Matherix Labs
- Research Engineer, Yahoo! Labs
- Masters from IISc Bangalore, Gate 2007(AIR 2)
- 13 years of experience in AI and Machine Learning
Key Features of this Microsoft Malware Detection Course
- Gain a deep understanding of malware detection in cybersecurity.
- Explore data distribution and feature extraction techniques.
- Learn how to evaluate model performance effectively.
- Implement advanced algorithms like Random Forest and XGBoost for malware detection.
- Engage in practical exercises and projects to reinforce learning.
- Learn from industry experts with extensive experience in cybersecurity and machine learning.
- Access course materials online at your own pace, from anywhere.
Pre-requisites for Microsoft Malware Detection Course
Prior to embarking on this course, familiarity with the following concepts is recommended:
- Understanding of basic concepts in machine learning and cybersecurity.
- Proficiency in Python programming language for data manipulation and model implementation.
- Familiarity with data analysis techniques using libraries like pandas and numpy.
- Knowledge of machine learning algorithms and techniques for classification and model evaluation.
- Basic understanding of cybersecurity concepts, including malware types and detection methods, is beneficial.
Who should learn this Microsoft Malware Detection Course?
This course is ideal for:
- Cybersecurity professionals aiming to enhance their skills in malware detection.
- Data scientists interested in applying machine learning techniques to cybersecurity challenges.
- IT professionals seeking to strengthen their understanding of malware detection and prevention.
- Students pursuing degrees or certifications in cybersecurity or data science.
- Anyone passionate about cybersecurity and eager to contribute to mitigating cyber threats.