Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Mark Nomerson Alecha's Credentials
- Mark Nomerson Alecha's Wallet
- Neural Network Mathematics: Understanding the Mathematics of a Neuron
- Support Vector Machine (SVM) Math: A Conceptual Look at Support Vector Machines
- ML & Dimensionality Reduction: Performing Principal Component Analysis
- Support Vector Machine (SVM) Math: Building & Applying SVM Models in Python
- Track 3: Math Behind ML Algorithms
- Recommender Systems: Under the Hood of Recommendation Systems
- Track 4: Advanced Math
- Essential Math for Data Science
- Final Exam: Advanced Math
- Final Exam: Math Behind ML Algorithms
- Statistical & Hypothesis Tests: Using Non-parametric Tests & ANOVA Analysis
- Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests
- Regression Math: Getting Started with Linear Regression
- The Math Behind Decision Trees: An Exploration of Decision Trees
- Distance-based Models: Overview of Distance-based Metrics & Algorithms
- Neural Network Mathematics: Exploring the Math behind Gradient Descent
- Regression Math: Using Gradient Descent & Logistic Regression
- Distance-based Models: Implementing Distance-based Algorithms
- Track 2: Statistics and Probability
- Final Exam: Statistics and Probability
- 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: Understanding Joint, Marginal, & Conditional Probability
- Probability Theory: Creating Bayesian Models
- Calculus: Getting Started with Derivatives
- Calculus: Understanding Integration
- Matrix Decomposition: Using Eigendecomposition & Singular Value Decomposition
- Matrix Decomposition: Getting Started with Matrix Decomposition
- Essential Maths: Exploring Linear Algebra
- Calculus: Derivatives with Linear and Quadratic Functions & Partial Derivatives
- Core Statistical Concepts: Statistics & Sampling with Python
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Probability Theory: Getting Started with Probability
- Track 1: Introduction to Math
- Final Exam: Introduction to Math
- Data Visualization: Best Practices for Creating Visuals
- Math & Optimizations: Introducing Sets & Set Operations
- Math & Optimizations: Solving Optimization Problems Using Linear Programming
- Math & Optimizations: Introducing Graphs & Graph Operations
- Math & Optimizations: Solving Optimization Problems Using Integer Programming
- Storytelling with Data: Tableau & Power BI
- Azure Data Fundamentals: Data Workloads
- Azure Data Fundamentals: Data Analytics
- R Programming for Beginners: Getting Started
- Using R Programming Structures: Functions & Environments
- Ethical Standards and PMI® Core Values
- Strategically Focused Project Management
- Capturing, Analyzing, and Using Project Lessons Learned
- Ethics and Project Management
- Python Basics
- Mark Nomerson Alecha's Transcript
- Mark Nomerson Alecha's Wallet
- About Accredible