Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Phoebe Kelly Liwanag's Credentials
- Phoebe Kelly Liwanag's Wallet
- Artificial Intelligence: Basic AI Theory
- Build Apps Using React: Introducing React for Web Applications
- Build Apps Using React: Local Machine & Online Playgrounds
- Artificial Intelligence: Human-computer Interaction Overview
- Python AI Development: Practice
- Design Thinking for Microservices
- Prototyping Design Thinking
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- Model Development, Validation, & Evaluation
- Machine Learning, Propensity Score, & Segmentation Modeling
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- ML/DL in the Enterprise: Pipelines & Infrastructure
- Enterprise Architecture: Architectural Principles & Patterns
- Advanced Reinforcement Learning: Principles
- Applied Deep Learning: Unsupervised Data
- Advanced Reinforcement Learning: Implementation
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- TypeScript Essentials: Getting Started
- Functions, Objects, & Modules
- Enterprise Architecture: Design Architecture for Machine Learning Applications
- Enterprise Services: Machine Learning Implementation on Microsoft Azure
- Enterprise Services: Machine Learning Implementation on Google Cloud Platform
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- ML/DL Best Practices: Building Pipelines with Applied Rules
- Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms
- ML/DL Best Practices: Machine Learning Workflow Best Practices
- Enterprise Services: Enterprise Machine Learning with AWS
- Machine Learning & Data Analytics
- Planning AI Implementation
- Uncertainty
- Introducing Natural Language Processing
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- ML Algorithms: Machine Learning Implementation Using Calculus & Probability
- NLP for ML with Python: NLP Using Python & NLTK
- Automation Design & Robotics
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine Learning & Deep Learning Tools in the Cloud
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- Implementing Deep Learning: Optimized Deep Learning Applications
- ML Algorithms: Multivariate Calculation & Algorithms
- Model Management: Building Machine Learning Models & Pipelines
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Refactoring ML/DL Algorithms: Techniques & Principles
- Technology Landscape & Tools for Data Management
- Model Management: Building & Deploying Machine Learning Models in Production
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Introduction
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Python - Introduction to NumPy for Multi-dimensional Data
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Math for Data Science & Machine Learning
- Data Driven Organizations
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Sources: Integration from the Edge
- Raw Data to Insights: Data Management & Decision Making
- Python - Using Pandas to Work with Series & DataFrames
- Applied Data Analysis
- Data Architecture Deep Dive - Design & Implementation
- Data Sources: Implementing Edge Data on the Cloud
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Data Science Tools
- The Four Vs of Data
- Data Analysis Concepts
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Integration
- Clustering, Errors, & Validation
- Estimates & Measures
- Data Communication & Visualization
- Data Exploration
- Data Filtering
- Data Gathering
- Data Transformation
- Python Design Patterns: Working with Creational Design Patterns
- Python Design Patterns: Principles of Good Design
- Python Design Patterns: Working with Structural Design Patterns
- Python Design Patterns: Working with Behavioral Design Patterns
- AWS Lambdas in Python: Using AWS Lambda with Containers, SES, SNS, & DynamoDB
- AWS Lambdas in Python: Serverless Compute in Python with AWS Lambda
- Python AI Development: Introduction
- Automation Testing for Python
- Excel with Python: Working with Excel Spreadsheets from Python
- Python Classes & Inheritance: Introduction
- Python Classes & Inheritance: Getting Started with Classes in Python
- Python Classes & Inheritance: Working with Inheritance in Python
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Excel with Python: Constructing Data Visualizations
- Excel with Python: Performing Advanced Operations
- Security Programming: Python Scripting Essentials
- Socket Programming in Python: Advanced Topics
- Socket Programming in Python: Introduction
- Building a CLI with argparse
- Python Requests: HTTP Requests with Python
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Data Structures & Algorithms in Python: Trees & Graphs
- Python Basics
- Data Structures & Algorithms in Python: Sorting Algorithms
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Functions in Python: Working with Advanced Features of Python Functions
- Getting Started with Python: Introduction
- New Developments in Python
- Agile Development Bootcamp: Session 3 Replay
- Agile Development Bootcamp: Session 1 Replay
- Agile Development Bootcamp: Session 2 Replay
- Getting the Details Right: Spelling Basics
- Using the Parts of Speech
- Using Punctuation Marks
- Troublesome Words and Phrases: Usage Mistakes in Writing
- Improving Your Technical Writing Skills
- Creating Well-constructed Sentences
- Abbreviating, Capitalizing, and Using Numbers
- OWASP: Top 10 Item A10
- Maximize Your Productivity by Managing Time and Tasks
- OWASP: Top 10 Items A6, A5, & A4
- OWASP: Top 10 Items A9, A8, & A7
- OWASP: Top 10 Items A3, A2, & A1
- The Art of Staying Focused
- Audience and Purpose in Business Writing
- Clarity and Conciseness in Business Writing
- Keeping Business Calls Professional
- Editing and Proofreading Business Documents
- Writing and Preparing an Effective Speech
- Conquering the Challenges of Public Speaking
- Introduction to Secure Programming
- Be Productive by Working Efficiently
- Saving Time by Setting Goals
- Sharpening Your Focus to Stay on Track
- Managing Your Time So It Doesn’t Manage You
- Being an Effective Team Member
- How Culture Impacts Communication
- Make The Time You Need: Get Organized
- Aligning Goals and Priorities To Manage Time
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