Machine learning and AI have been around for a long time but it was the arrival of Open AI’s ChatGPT, arguably one of the biggest technical advances since the internet, that gave the general public its first proper taste of artificial intelligence in practice

Certainly! Let’s delve into the fascinating world of artificial intelligence (AI). 🤖

What is AI?
Artificial intelligence (AI) refers to a machine’s ability to perform tasks that previously required human intelligence. It has evolved since the 1950s, and today, it powers self-driving cars, chatbots (like ChatGPT), and image generators¹. AI systems can adapt and learn new skills beyond explicit programming, mimicking traits found in human intelligence, such as learning, problem-solving, and pattern-finding.

How Does AI Work?
AI relies on storing information, similar to how the human brain learns by retaining skills and memories. Unlike basic computing systems, which execute specific tasks based on code, AI systems can adapt and perform new skills¹. However, they still lack context and semantic understanding, which can lead to unintended consequences in certain situations.

AI in Our Lives
AI is already woven into our daily lives. From recommendation algorithms on streaming platforms to voice assistants like Siri, these digital creatures are shaping our world. They’re not just chatbots; they’re revolutionizing industries and solving complex problems².

Feel free to explore more about AI—it’s a captivating field with endless possibilities! If you have specific questions or need further details, feel free to ask. 😊

Source: Conversation with Copilot, 8/2/2024
(1) What is AI? Everything to know about artificial intelligence. https://www.zdnet.com/article/what-is-ai-heres-everything-you-need-to-know-about-artificial-intelligence/.
(2) A simple guide to help you understand AI – BBC. https://www.bbc.co.uk/news/resources/idt-74697280-e684-43c5-a782-29e9d11fecf3.
(3) 75 Insightful Facts About Artificial Intelligence – Valuer. https://www.valuer.ai/blog/75-facts-about-artificial-intelligence.
(4) Common Questions & Answers About AI Technology – Google. https://about.google/intl/ALL_us/stories/machine-learning-qa/.
(5) Artificial Intelligence Quizzes, Questions & Answers – ProProfs. https://www.proprofs.com/quiz-school/topic/artificial-intelligence.

Certainly! Machine learning algorithms are the backbone of modern artificial intelligence, allowing computers to understand patterns, make predictions, and discover insights from data without explicit programming¹. Let’s explore some key types and examples:

1. Supervised Learning Algorithms:

• Regression:
  • Linear Regression (including Simple Linear Regression and Multiple Linear Regression)
  • Polynomial Regression
  • Bayesian Regression
• Classification:
  • Logistic Regression
  • Support Vector Machines (SVM)
  • Decision Trees (including Random Forest and Gradient Boosting)
• Ensemble Learning:
  • Bagging (Bootstrap Aggregating)
  • AdaBoost
  • XGBoost
• Naive Bayes (used for probabilistic classification)
• K-Nearest Neighbors (KNN) (both classifier and regressor)

1. Unsupervised Learning Algorithms:

• Clustering:
  • K-Means Clustering
  • Hierarchical Clustering
• Dimensionality Reduction:
  • Principal Component Analysis (PCA)

1. Reinforcement Learning Algorithms:

• These learn from interactions with an environment to maximize rewards.

Remember, each algorithm has its strengths and weaknesses, and the choice depends on the problem you’re solving and the available resources². Dive into these fascinating algorithms, experiment, and enjoy your journey into the world of machine learning! 😊

Source: Conversation with Copilot, 8/2/2024
(1) Machine learning methods or techniques. https://bing.com/search?q=machine+learning+algorithms.
(2) Machine Learning Algorithms – GeeksforGeeks. https://www.geeksforgeeks.org/machine-learning-algorithms/.
(3) What Is a Machine Learning Algorithm? | IBM. https://www.ibm.com/topics/machine-learning-algorithms.
(4) The engines of AI: Machine learning algorithms explained. https://www.infoworld.com/article/2338768/the-engines-of-ai-machine-learning-algorithms-explained.html.