Live Online Style Video +Live Instructor + Official Course-Book + Hands-on Labs

Essential Maths & Statistics for Machine Learning

Includes:

  1. 6 months access to videos.
  2. Access via Laptop, Tab, Mobile, and Smart TV.
  3. Certificate of Completion.
  4. Official Course-Book
  5. Hands-on labs

We do not have video for this course. It will take 48 hours to deliver.

You can also purchase an annual plan for USD 999. For one year, all Flexi Videos will be free for you. Buy Annual Plan

Flexi Video

USD 199

Official Course-Book Instructor Hand-outs

USD 0

Hands-On-Labs

USD 59

Total

USD 199

100% Refund for Flexi Video (Course-Book is non-refundable) if user is not satisfied with the Video and seeks refund within 30 days of purchase.

Download Course Contents
Module 1: Need for Maths & Statistics
  • Mathematics: Fundamental for ML algorithms and models.
  • Statistics: Data analysis, Model evaluation, Data Handling, Model Selection, Model Interpretation.
  • Algebraic Equations
  • Quadratic Equations
  • Functions
  • Basics of Calculus
  • Differentiation and Derivatives
  • Derivative Rules and Operations
  • Double Derivatives and finding Maxima
  • Double Derivatives example
  • Partial Derivatives and Gradient Descent
  • Integration and Area Under the Curve
  • Vector Basics - What is a Vector and vector operations
  • Matrix Foundation
  • Identity, Inverse, Determinant and Transpose Matrix
  • Matrix Transformation
  • Change of Basis and Axis using Matrix Transformation
  • Eigenvalues and Eigenvectors
  • Understanding probability in simple terms
  • Conditional Probability Random Processes and Random Variables
  • Understanding the Data and its elements.
  • Measure Central Tendency using Mean, Median, mode
  • Measure of Dispersion using Standard Deviation and variance
  • Hands on - Get Statistical Summary
  • Measure of Dispersion using Percentile, Range and IQR
  • Importance of Data Visualization and different Charts
  • Understanding Boxplot for Numerical Data
  • Matplotlib - Plotting Basics
  • Create your first Bar Chart
  • Create Histogram of Data
  • Plotting Boxplot
  • Data Visualization for Categorical Data
  • Pie Charts
  • Scatter Plots
  • Matplotlib Figures for creating multiple plots
  • Subplots for plotting multiple plots in one figure
  • Customization of Plot elements
  • Understand Population Vs Samples Concept of Sample Bias
  • Concept of Correlation and Causality
  • Concept of Covariance and Covariance Matrix Probability Density Function and Distributions
  • Normal Distributions
  • Standard Normal Distributions
  • Sampling Distributions
  • Central Limit Theorem Confidence Intervals
  • Concept of Hypothesis & Null Vs Alternate Hypothesis
  • Concept of Statistical Significance
  • Hypothesis Testing Examples

Learn more about Koenig. Download Presentation Buy Other Flexi

FAQ's

Yes, you can pay from this web page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You will be provided access to LET ( Learning Enhancement Tool), where you will get the links to access all your purchases.
Flexi video for the new version will be provided free of cost.
6 months from the date of delivery.
Yes, contact us for corporate packages.
Yes, Course-Book and Lab are not included in the annual plan. All Flexi videos are included.
It is only for one user.
Videos can only be streamed and not downloaded.
We do not track the pass rate of Flexi students. However, we trust it will be lower than for Live Online.
Presently, Flexi is only available in English.
It’s a unique subscription plan where customers can avail unlimited Flexi courses within a year.
The subscription plan is valid for 1 year from the date of purchase.
No, this is limited to one user and its non-transferable.

Feedbacks from Clients