Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- MohammedAlsaieedy's Credentials
- MohammedAlsaieedy's Wallet
- AI Framework Overview: Development Frameworks
- Working With the Keras Framework
- Keras - a Neural Network Framework
- Working With Microsoft Cognitive Toolkit (CNTK)
- Improving Neural Networks: Loss Function & Optimization
- Supervised, Unsupervised & Deep Learning
- Deep Learning with Keras
- Neural Network & NLP Implementation
- Reinforcement Learning: Essentials
- Convo Nets for Visual Recognition: Computer Vision & CNN Architectures
- NLP for ML with Python: NLP Using Python & NLTK
- The AI Practitioner: Tuning AI Solutions
- Linear Regression Models: Introduction to Logistic Regression
- Machine & Deep Learning Algorithms: Introduction
- Advanced Reinforcement Learning: Principles
- Convo Nets for Visual Recognition: Filters and Feature Mapping in CNN
- Principles of IoT & Python Basics
- Cloud Implementation Using Azure IoT
- Validate and Control Scope (PMBOK® Guide Sixth Edition)
- Training Neural Networks: Advanced Learning Algorithms
- TensorFlow: Deep Neural Networks & Image Classification Using Estimators
- Machine Learning, Propensity Score, & Segmentation Modeling
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- Programming in the IoT Arena
- Ethical Hacker: IoT Attacks
- ENCOR: Wireless & Network Security
- Contributing as a Virtual Team Member
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- ConvNets: Introduction to Convolutional Neural Networks
- Applied Deep Learning: Unsupervised Data
- Data Research Statistical Approaches
- Conditional Statements & Loops: While Loops in Python
- Data Science Statistics: Applied Inferential Statistics
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Building Neural Networks: Development Principles
- Ethical Hacker: Pentesting, Laws, & Standards
- Data Research Techniques
- Data Considerations in Analytics
- Implementing ML Algorithm Using scikit-learn
- Linear Algebra & Probability: Advanced Linear Algebra
- Process & Applications
- Python Classes & Inheritance: Getting Started with Classes in Python
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Improving Neural Networks: Data Scaling & Regularization
- Improving Neural Networks: Neural Network Performance Management
- Deep Learning & Neural Network Implementation
- Artificial Intelligence: Human-computer Interaction Methodologies
- Software Data Analysis: Project Management Metrics
- Math for Data Science & Machine Learning
- CCSP 2019: Implementing Data Discovery & Classification
- Data Analysis Using the Spark DataFrame API
- Data Science Overview
- Planning Artificial Intelligence Services
- Data Science Tools
- Artificial Intelligence: Types of Artificial Intelligence
- Introduction to Artificial Intelligence
- Artificial Intelligence: Basic AI Theory
- Artificial Intelligence: Human-computer Interaction Overview
- MohammedAlsaieedy's Transcript
- MohammedAlsaieedy's Wallet
- About Accredible