Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Kevin Roe Lacadin's Credentials
- Kevin Roe Lacadin's Wallet
- ML Programmer
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Concurrent Programming: Asynchronous Executions in Python
- Python Concurrent Programming: Multithreading in Python
- Python Concurrent Programming: Multiprocessing in Python
- Python Design Patterns: Principles of Good Design
- Socket Programming in Python: Advanced Topics
- Flask in Python: User Interactions in Flask Applications
- Python Design Patterns: Working with Creational Design Patterns
- Python Design Patterns: Working with Structural Design Patterns
- Python Design Patterns: Working with Behavioral Design Patterns
- Flask in Python: User Authentication in a Flask Application
- Leading in the Post-pandemic Workplace
- Agile Key Exam Concepts
- Data Structures & Algorithms in Python: Trees & Graphs
- Leadership Insights on Leader Transitions
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Leadership Transitions: Becoming a Frontline Manager
- Leading with Executive Presence
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Leadership Insights on Leading with Executive Presence
- Leading with Strategic Thinking
- Leadership Insights on Strategic Thinking
- Functions in Python: Working with Advanced Features of Python Functions
- Python Classes & Inheritance: Working with Inheritance in Python
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Developing Your Critical Thinking and Cognitive Flexibility
- Leadership Insights on Critical Thinking
- Implementing Governance Strategies
- Data Access & Governance Policies: Data Access Governance & IAM
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- Leading through Setting and Managing Priorities
- Leadership Insights on Setting and Managing Priorities
- Data Pipeline: Using Frameworks for Advanced Data Management
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Data Pipeline: Process Implementation Using Tableau & AWS
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Architecture Deep Dive - Design & Implementation
- Cloud Data Architecture: Cloud Architecture & Containerization
- Leading Innovation
- Leadership Insights on Leading Innovation
- Data Lake Framework & Design Implementation
- Data Lake Architectures & Data Management Principles
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Data Analysis using Spark SQL
- Leading with Judgment and Decisiveness
- Leadership Insights on Judgment and Decisiveness
- Data Analysis Using the Spark DataFrame API
- Advanced Operations Using Hadoop MapReduce
- Hadoop MapReduce Applications With Combiners
- Filtering Data Using Hadoop MapReduce
- Using Hive to Optimize Query Executions with Partitioning
- Bucketing & Window Functions with Hive
- Leadership Insights on Leading a Customer-Centric Culture
- Optimizing Query Executions with Hive
- Leading a Customer-centric Culture
- Leading Others through Conflict
- Leadership Insights on Conflict Management
- Viewing & Querying Complex Data with Hive
- MongoDB Querying
- MongoDB Aggregation
- Leadership Insights on Leading Virtually
- Data Sources: Integration from the Edge
- Data Sources: Implementing Edge Data on the Cloud
- Leading Virtually
- Creating Data APIs Using Node.js
- Leading through the Challenge of Change
- Leadership Insights on Leading through Change
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Leadership Toolkit: Facilitating a Brainstorming Session
- Leadership Toolkit: Running a Team Debrief
- Data Recommendation Engines
- Leadership Toolkit: Facilitating a Workshop
- Leading through Motivation
- Leadership Insights on Leading through Motivation
- ML/DL Best Practices: Building Pipelines with Applied Rules
- ML/DL Best Practices: Machine Learning Workflow Best Practices
- Leading across Cultures
- Implementing Deep Learning: Optimized Deep Learning Applications
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- Applied Deep Learning: Unsupervised Data
- Advanced Reinforcement Learning: Implementation
- Leadership Insights on Leading Across Cultures
- Deep Learning with Keras
- Enterprise Architecture: Architectural Principles & Patterns
- Architecting Balance: Hybrid Cloud Implementation with AWS & Azure
- Architecting Balance: Designing Hybrid Cloud Solutions
- Enterprise Architecture: Design Architecture for Machine Learning Applications
- Creating a Successful Business Execution Culture
- Leadership Insights on Leading Diversity
- Enterprise Services: Machine Learning Implementation on Google Cloud Platform
- Enterprise Services: Machine Learning Implementation on Microsoft Azure
- Enterprise Services: Enterprise Machine Learning with AWS
- Leading Diversity
- Leading through Problem Solving and Decision Making
- Leadership Insights on Problem Solving & Decision Making
- Leadership Insights on Leading a Culture of Execution
- Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- Refactoring ML/DL Algorithms: Techniques & Principles
- ML/DL in the Enterprise: Machine Learning Infrastructure & Metamodel
- Leadership Insights on Leading Vision
- Leading through Shared Vision
- Planning AI Implementation
- Automation Design & Robotics
- Applying Predictive Analytics
- Developing Successful Coaching Relationships
- Leadership Insights on Coaching
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Building and Leading Successful Teams
- Leadership Insights on Building & Leading Teams
- Build & Train RNNs: Implementing Recurrent Neural Networks
- ML Algorithms: Machine Learning Implementation Using Calculus & Probability
- ML Algorithms: Multivariate Calculation & Algorithms
- Fundamentals of Sequence Model: Artificial Neural Network & Sequence Modeling
- Build & Train RNNs: Neural Network Components
- Fundamentals of Sequence Model: Language Model & Modeling Algorithms
- Convo Nets for Visual Recognition: Computer Vision & CNN Architectures
- Leadership Insights on Developing People
- Leading by Developing People
- Improving Neural Networks: Loss Function & Optimization
- Convolutional Neural Networks: Fundamentals
- Convolutional Neural Networks: Implementing & Training
- Convo Nets for Visual Recognition: Filters and Feature Mapping in CNN
- Improving Neural Networks: Neural Network Performance Management
- Improving Neural Networks: Data Scaling & Regularization
- Influencing and Persuading Others
- Leadership Insights on Influence and Persuasion
- Training Neural Networks: Implementing the Learning Process
- Building Neural Networks: Artificial Neural Networks Using Frameworks
- Building Neural Networks: Development Principles
- Training Neural Networks: Advanced Learning Algorithms
- Leading through Disruption
- Leadership Insights on Leading through Disruption
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Linear Models & Gradient Descent: Managing Linear Models
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Math for Data Science & Machine Learning
- The Collaborative Leader
- Leadership Insights on Leading Collaboratively
- Leadership Insights on Being Accountable
- Accountable Leadership
- Reinforcement Learning: Essentials
- Bayesian Methods: Advanced Bayesian Computation Model
- Reinforcement Learning: Tools & Frameworks
- Leading with Values and Ethics
- Leadership Insights on Leading with Values & Ethics
- Model Management: Building Machine Learning Models & Pipelines
- Bayesian Methods: Bayesian Concepts & Core Components
- Implementing Bayesian Model and Computation with PyMC
- Becoming an Emotionally Intelligent Leader
- Leadership Insights on Emotional Intelligence
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- NLP for ML with Python: NLP Using Python & NLTK
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Linear Regression Models: Multiple & Parsimonious
- Simplifying Regression and Classification with Estimators
- Machine Learning & Deep Learning Tools in the Cloud
- Technology Landscape & Tools for Data Management
- The Mindful Leader
- Leadership Insights on Mindfulness
- Data Science Tools
- Python - Advanced Operations with NumPy Arrays
- Python - Pandas Advanced Features
- Project Fundamentals (PMBOK® Guide Sixth Edition)
- Leadership Insights on Leading with Agility
- The Agile Leader
- Agile Principles and Methodologies
- Agile Project Planning
- Agile Project Scheduling and Monitoring
- Agile Stakeholder Engagement and Team Development
- Data Science Statistics: Applied Inferential Statistics
- Linear Algebra & Probability: Advanced Linear Algebra
- Computational Theory: Language Principle & Finite Automata Theory
- Model Management: Building & Deploying Machine Learning Models in Production
- Computational Theory: Using Turing, Transducers, & Complexity Classes
- Applied Predictive Modeling
- R for Data Science: Data Visualization
- Advanced Visualizations & Dashboards: Visualization Using R
- R Regression Methods
- Cleaning Data in R
- R Data Structures
- R Classification & Clustering
- Data Exploration using R
- Kevin Roe Lacadin's Transcript
- Kevin Roe Lacadin's Wallet
- About Accredible