Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Malcolm Ramsay's Credentials
- Malcolm Ramsay's Wallet
- ML Programmer
- Final Exam: ML Programmer
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Linear Models & Gradient Descent: Managing Linear Models
- Building ML Training Sets: Introduction
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Math for Data Science & Machine Learning
- Reinforcement Learning: Essentials
- Reinforcement Learning: Tools & Frameworks
- Bayesian Methods: Advanced Bayesian Computation Model
- Model Management: Building Machine Learning Models & Pipelines
- Model Management: Building & Deploying Machine Learning Models in Production
- Implementing Bayesian Model and Computation with PyMC
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Linear Regression Models: Introduction to Logistic Regression
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Linear Regression Models: Introduction
- Simplifying Regression and Classification with Estimators
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Computational Theory: Language Principle & Finite Automata Theory
- Computational Theory: Using Turing, Transducers, & Complexity Classes
- Linear Regression Models: Multiple & Parsimonious
- Bayesian Methods: Bayesian Concepts & Core Components
- Data Analysis
- AI Architect
- Explainable AI
- NLP for ML with Python: NLP Using Python & NLTK
- Evaluating Current and Future AI Technologies and Frameworks
- Final Exam: AI Architect
- Leveraging Reusable AI Architecture Patterns
- QlikView: Getting Started with QlikView for Data Visualization
- AI Practitioner
- AI in Industry
- Using Intelligent Information Systems in AI
- Working With the Keras Framework
- Elements of an Artificial Intelligence Architect
- Using Apache Spark for AI Development
- The AI Practitioner: Optimizing AI Solutions
- The AI Practitioner: Role & Responsibilities
- The AI Practitioner: Tuning AI Solutions
- AI Enterprise Planning
- Apache Spark Getting Started
- Data Warehouse Essential: Concepts
- Extending Amazon Machine Learning
- Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
- Final Exam: AI Practitioner
- Python Development: Working with If Statements, Loops, & Comprehensions
- Python Development: Getting Started with Programming in Python
- Python Development: Performing Operations with Complex Data Types
- Python Development: Defining, Configuring, & Invoking Functions
- Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
- Agile Project Planning
- Data Mining, Data Distributions, & Hypothesis Testing
- BI Reporting & Analysis
- Malcolm Ramsay's Transcript
- Malcolm Ramsay's Wallet
- About Accredible