Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Wing Lui's Credentials
- Wing Lui's Wallet
- PL-300: Understanding Data Visualization
- PL-300: Advanced Modeling Technique in Power BI
- PL-300: Using Time Intelligence in Power BI
- PL-300: Working with Filters in Power BI
- PL-300: Applying the DAX Formula Language in Power BI
- PL-300: An Overview of Data Modeling in Power BI
- PL-300: Preparing Data for Visualizations in Power BI
- PL-300: Loading & Transforming Data in Power BI
- PL-300: Power BI for Data Analysis
- Recommender Systems: Under the Hood of Recommendation Systems
- Track 4: Advanced Math
- Essential Math for Data Science
- Final Exam: Advanced Math
- ML & Dimensionality Reduction: Performing Principal Component Analysis
- Neural Network Mathematics: Exploring the Math behind Gradient Descent
- Track 2: Statistics and Probability
- Track 3: Math Behind ML Algorithms
- Final Exam: Math Behind ML Algorithms
- Final Exam: Statistics and Probability
- Neural Network Mathematics: Understanding the Mathematics of a Neuron
- Support Vector Machine (SVM) Math: A Conceptual Look at Support Vector Machines
- Support Vector Machine (SVM) Math: Building & Applying SVM Models in Python
- Distance-based Models: Implementing Distance-based Algorithms
- The Math Behind Decision Trees: An Exploration of Decision Trees
- Distance-based Models: Overview of Distance-based Metrics & Algorithms
- Regression Math: Using Gradient Descent & Logistic Regression
- Regression Math: Getting Started with Linear Regression
- Statistical & Hypothesis Tests: Using Non-parametric Tests & ANOVA Analysis
- Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests
- Statistical & Hypothesis Tests: Using the One-sample T-test
- Statistical & Hypothesis Tests: Getting Started with Hypothesis Testing
- Probability Distributions: Understanding Normal Distributions
- Probability Distributions: Uniform, Binomial, & Poisson Distributions
- Probability Distributions: Getting Started with Probability Distributions
- Probability Theory: Creating Bayesian Models
- Probability Theory: Understanding Joint, Marginal, & Conditional Probability
- Probability Theory: Getting Started with Probability
- Core Statistical Concepts: Statistics & Sampling with Python
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Track 1: Introduction to Math
- Final Exam: Introduction to Math
- Matrix Decomposition: Using Eigendecomposition & Singular Value Decomposition
- Matrix Decomposition: Getting Started with Matrix Decomposition
- Essential Maths: Exploring Linear Algebra
- Calculus: Understanding Integration
- Calculus: Derivatives with Linear and Quadratic Functions & Partial Derivatives
- Calculus: Getting Started with Derivatives
- Math & Optimizations: Solving Optimization Problems Using Integer Programming
- Math & Optimizations: Solving Optimization Problems Using Linear Programming
- Math & Optimizations: Introducing Graphs & Graph Operations
- Math & Optimizations: Introducing Sets & Set Operations
- Wing Lui's Transcript
- Wing Lui's Wallet
- About Accredible