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- Pedro Artico Rodrigues's Credentials
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- Understanding Bots: Chatbot Architecture
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Python - Advanced Operations with NumPy Arrays
- Cloud Computing Fundamentals: Introduction
- Data Science Overview
- Data Integration
- Introduction to Artificial Intelligence
- Machine Learning Introduction
- R for Data Science: Data Visualization
- Constraint Satisfaction Problems
- Adversarial Problems
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- R Data Structures
- Importing & Exporting Data using R
- Data Exploration using R
- R Regression Methods
- R Classification & Clustering
- Cleaning Data in R
- Search Problems
- Uncertainty
- Python - Introduction to NumPy for Multi-dimensional Data
- Scalable Data Architectures: Getting Started
- Reinforcement Learning
- SQL Security Architecture
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Warehouse Essential: Architecture Frameworks & Implementation
- Implementing Governance Strategies
- Data Compliance Issues & Strategies
- Introduction to Machine Learning Bootcamp: Session 1 Replay
- Introduction to Machine Learning Bootcamp: Session 2 Replay
- Introduction to Machine Learning Bootcamp: Session 3 Replay
- Introduction to Machine Learning Bootcamp: Session 4 Replay
- Reinforcement Learning: Tools & Frameworks
- Explainable AI
- Planning AI Implementation
- ML Algorithms: Multivariate Calculation & Algorithms
- Implementing AI With Amazon ML
- Working With Microsoft Cognitive Toolkit (CNTK)
- Keras - a Neural Network Framework
- ConvNets: Working with Convolutional Neural Networks
- Build & Train RNNs: Neural Network Components
- Fundamentals of Sequence Model: Artificial Neural Network & Sequence Modeling
- Artificial Intelligence: Types of Artificial Intelligence
- Functions in Python: Introduction
- Artificial Intelligence: Basic AI Theory
- Installation & Introduction
- Application Security Awareness & Validation
- Machine Learning
- Developing Emotional Intelligence
- API Security
- Secure Application Architecture & IAM
- Convolutional and Recurrent Neural Networks
- Top 10 List Items
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- Introducing Natural Language Processing
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Machine & Deep Learning Algorithms: Introduction
- Conditional Statements & Loops: The Basics of for Loops in Python
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Socket Programming in Python: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- Implementing Deep Learning: Optimized Deep Learning Applications
- ConvNets: Introduction to Convolutional Neural Networks
- Security Programming: Python Scripting Essentials
- Azure AI Fundamentals: Natural Language Processing
- Getting Started with Python: Introduction
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
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