Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Tim Schumacher's Credentials
- Tim Schumacher's Wallet
- Training Neural Networks: Advanced Learning Algorithms
- Training Neural Networks: Implementing the Learning Process
- Building Neural Networks: Artificial Neural Networks Using Frameworks
- Building Neural Networks: Development Principles
- Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- ML Programmer
- Final Exam: ML Programmer
- Linear Models & Gradient Descent: Managing Linear Models
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Introduction
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Math for Data Science & Machine Learning
- Reinforcement Learning: Tools & Frameworks
- Reinforcement Learning: Essentials
- Bayesian Methods: Advanced Bayesian Computation Model
- Implementing Bayesian Model and Computation with PyMC
- Model Management: Building Machine Learning Models & Pipelines
- Computational Theory: Using Turing, Transducers, & Complexity Classes
- Model Management: Building & Deploying Machine Learning Models in Production
- Bayesian Methods: Bayesian Concepts & Core Components
- Computational Theory: Language Principle & Finite Automata Theory
- Simplifying Regression and Classification with Estimators
- Linear Regression Models: Introduction to Logistic Regression
- Linear Regression Models: Multiple & Parsimonious
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Linear Regression Models: Introduction
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- NLP for ML with Python: NLP Using Python & NLTK
- Tim Schumacher's Transcript
- Tim Schumacher's Wallet
- About Accredible