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- Congratulations on Completing AI Foundations
- Congratulations on Completing How Does AI Work
- Congratulations on Completing Natural Language Processing
- Everyday Examples of AI
- Introduction to Natural Language Processing
- Natural Language Processing (NLP)
- Neural Networks: A Simple Introduction
- Sentiment Analysis and Named Entity Recognition
- Text Classification and Language Generation
- Text Preprocessing and Feature Extraction
- The Difference Between AI, Machine Learning, and Deep Learning
- Using Free Google Tools For Your Website
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- What is AI?
Topics
- A Brief Historical Overview
- A Simple Definition
- A Simple View of How Neural Networks Process Information
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- AI in Smartphones, Shopping, Movies, and Music
- Analogy of Brain Neurons
- Analysing Sentiment in Language: Techniques and Approaches
- Blog Or News Section
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- Importance of Natural Language Processing in the Modern World
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- Text Classification using NLP: Techniques and Models
- Text preprocessing techniques: Cleaning, Tokenization, and Stemming
- Thank You for completing AI Foundations: A Beginner’s Guide to Artificial Intelligence. You now have an understanding of what AI is, the difference between Machine Learning and Deep Learning. You also have examples of AI we use everyday. We hope you continue to expand your knowledge because Curiosity is the Catalyst!
- Thank You for completing How Does AI Work. You now have an understanding of Learning From Data, Neural Networks and Natural Language Processing. We hope you continue to expand your knowledge with our other courses because Curiosity is the Catalyst!
- Thank You for completing Natural Language Processing (NLP): How AI Interacts With Human Language.
- The Idea of “Learning from Data”
- Topic
- Training an AI vs. Teaching a Child
- Unlocking Valuable Insights with Named Entity Recognition (NER)
- Website Builders – Content Management Systems (CMS)
- Website Hosting
- What is Natural Language Processing and its Significance?
Glossary
- Adversarial Machine Learning
- Algorithm
- Artificial General Intelligence (AGI)
- Artificial Intelligence
- Artificial Neural Network
- Automation
- Autonomous Agents
- Backpropagation
- Bayesian Networks
- Bias in Artificial Intelligence
- Big Data
- ChatBot
- ChatGPT
- ChatOps
- Cloud Computing
- Clustering
- Cognitive Automation
- Cognitive Computing
- Cognitive Robotics
- Computer Vision
- Constraint Satisfaction Problems (CSPs)
- Convolutional Neural Network
- Cybersecurity in Artificial Intelligence
- Data Preprocessing
- Data Science
- Decision Networks
- Decision Trees
- Deep Learning
- Deep Reinforcement Learning
- Digital Assistants
- Dimensionality Reduction
- Distributed Computing
- Edge Computing
- Ensemble Learning
- Ethics in Artificial Intelligence
- Evolutionary Computation
- Expert Systems
- Explainable Artificial Intelligence
- Facial Recognition
- Feature Extraction
- Federated Learning
- Forecasting
- Fuzzy Logic
- Game Theory
- Generative Adversarial Networks (GANs)
- Generative Pre-trained Transformer (GPT)
- Genetic Algorithms
- Graph Neural Networks
- Human-in-the-Loop
- Humanoid Robots
- Hyperparameters
- Incremental Learning
- Instance-Based Learning
- Intelligent Virtual Assistants
- Internet of Things (IoT)
- Knowledge Graphs
- Knowledge-Based Systems
- Large Language Model (LLM)
- Machine Learning
- Machine Vision
- Modular Neural Networks
- Multi-Agent Systems
- Multimodal Learning
- Natural Language Generation (NLG)
- Natural Language Processing (NLP)
- Neural Networks
- Neuroevolution
- Object Detection
- Object Recognition
- One-Shot Learning
- Ontologies
- OpenAI
- Pattern Recognition
- Predictive Analytics
- Probabilistic Graphical Models
- Quantum Computing
- Recommender Systems
- Regression Analysis
- Reinforcement Learning
- Robotics
- Robotics Process Automation (RPA)
- Sentiment Analysis
- Speech Recognition
- Supervised Learning
- Support Vector Machines
- Swarm Intelligence
- Synthetic Data
- Time Series Analysis
- Transfer Learning
- Uncertainty in Artificial Intelligence
- Universal Language Model Fine-Tuning (ULMFiT)
- Unsupervised Learning
- Variational Autoencoders (VAE)
- Virtual Assistant
- Virtual Reality
- Viterbi Algorithm
- Weak AI
- Word Embeddings
- Zero-Shot Learning
- Zeroth Law of Robotics
