Beginner – Expert Linear Algebra, with Practice in Python.

Beginner – Expert Linear Algebra, with Practice in Python. Course includes 19.5 hrs video content and enrolled by 7,151 students and received a 4.4 average review out of 5. Now, Course instructor offering 100%OFF on the original price of the course and its limited time offer. Enroll the course before the coupon expired Once you’re enrolled for the course, you can start it whenever and complete it at your own pace. it will never expire on your account.

What you’ll learn

  • Understanding Matrix Algebra and applying it in solving linear equations and transformations, with practical examples in Python.
  • Mastering vectors, vector properties, vector spaces, sub spaces and application in coordinate systems. Fundamental sub spaces and how they can be computed.
  • Mastery of Orthogonal and Orthonormal vectors and orthogonal projections. Then computing minimal distances & Gram Schmidt orthogonalization.
  • Matrix Decompositions like eigen, cholesky and singular value decompositions. Mastery of Diagonalization, full rank approximation and low rank approximation.
  • Matrix inverses, least square and normal equation. Linear Regression and Kaggle House Prediction Practice.
  • Explaining and deducing Principal Component Analysis (PCA) from scratch and applying it to face recognition using the Eigen Faces algorithm.

Here are the different concepts you’ll master after completing this course.

  • Fundamentals of Linear Algebra
  • Operations on a single Matrix
  • Operations on two or more Matrices
  • Performing Elementary row operations
  • Finding Matrix Inverse
  • Gaussian Elimination Method
  • Vectors and Vector Spaces
  • Fundamental Subspaces
  • Matrix Decompositions
  • Matrix Determinant and the trace operator
  • Core Linear Algebra concepts used in Machine Learning and Datascience
  • Hands on experience with applying Linear Algebra concepts using the computer with the Python Programming Language
  • Apply Linear Algebra in real world problems
  • Skills needed to pass any Linear Algebra exam
  • Principal Component Analysis
  • Linear Regression

Who this course is for:

  • Computer Vision practitioners who want to learn how state of art computer vision models are built and trained using deep learning.
  • Anyone who wants to master deep learning fundamentals and also practice deep learning using best practices in TensorFlow.
  • Deep Learning Practitioners who want gain a mastery of how things work under the hood.
  • Beginner Python Developers curious about Deep Learning.

Can I download Beginner – Expert Linear Algebra, with Practice in Python. 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 Beginner – Expert Linear Algebra, with Practice in Python. 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?
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