What you’ll learn
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Linear Algebra for Machine Learning
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Operations on Vectors & Matrices
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Linear Transformation in Linear Algebra
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Eigen Values & Eigen Vectors
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Probability for Data Science & Machine Learning
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Statistics for Data Science & Machine Learning
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Different Methods to deal with each type of variables
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How to deal and analyze with Numerical Variables
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How to deal and analyze with Categorical Variables
Linear Algebra
- What and why is Linear Algebra?
- Intro to System of Linear Equations
- Vectors and Operations on Vectors
- Vectors Norm
- Dot Product of Vectors
- Matrices and Operations on Matrices
- Vector Spaces
- Linear Combination
- Vector Spans
- Vectors Linear Independence
- Basis of Space
- Linear Transformation
- Determinant
- System of Linear Equation
- Gauss-Jordin Elimination
- Inverse
- Eigen Values and Vectors
- PCA
Probability & Statistics
- Why Probability & Statistics
- Probability vs. Statistics
- Empirical and theoretical Probability
- Joint & marginal & conditional probability Distribution
- Random Experiment
- Random Variables
- Statistics
- Sampling Methods
- Numerical Variables
- Visualization techniques for Numerical Variables
- Statistical Tools
- Categorical Variables
- Visualization techniques for Categorical Variables
- Probability Distribution
Who this course is for:
- Data Analysts
- Data Scientists
- Software Developers
- Computer Science Students
- Anyone with interest in Data Science, and Machine Learning
Can I download Mathematics for Machine Learning & Data Science | Arabic course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Mathematics for Machine Learning & Data Science | Arabic course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.