Week 1(1).pdf

DAB106 Introduction to Artificial intelligence Contact Office Hours: Tuesday 10:00 AM to 11:00 AM EST Thursday 02:00 PM to 04:00 PM EST Friday 12:00 PM to 02:00 PM EST Students are encouraged to make an appointment for office hours and 1:1 meetings. Email: hvirk@...

DAB106 Introduction to Artificial intelligence Contact Office Hours: Tuesday 10:00 AM to 11:00 AM EST Thursday 02:00 PM to 04:00 PM EST Friday 12:00 PM to 02:00 PM EST Students are encouraged to make an appointment for office hours and 1:1 meetings. Email: [email protected] (By Appointment Only) Class Rules and Expectations Respect everyone in the class. Treat others the way you want to be treated, with kindness and respect. All email correspondence to the instructor must be through the SCC email system. Please remember to turn off all cell phones while in class and utilize laptops for academic purposes only. Class will begin on time every day. If you are late, you are expected to come in quietly without disrupting your classmates. It is your responsibility to find out what you missed from someone else in the class. I suggest that you arrange for a “homework buddy” who can collect handouts and let you know what you missed. You will only be permitted an extension on tests and/or the submission of a hard copy of assignments if you provide one of the following pieces of documentation: Doctor’s note Bereavement notice Copy of a summons or subpoena Proof of call for military service No exceptions!!! What You’ll Learn This course provides students with a high-level understanding of the broad field of Artificial Intelligence (AI) and fundamental principles of machine learning. Students will explore some basic definitions and concepts and will learn to distinguish between the various branches that make up AI. Students will learn fundamental philosophical/ethical issues, strategy, workloads, and considerations related to the development and application of Artificial Intelligence Students will acquire foundational knowledge of the core concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions.  Our Mission: To unravel the intricacies of AI, marrying theoretical frameworks with practical application. Educational Strategy: Dynamic Lectures: We'll dive into the Approach essentials of AI, its evolution, and its modern- day applications. Practical Engagements: Through active projects, we'll translate AI theory into practice. Team-Based Exploration: We'll leverage collaborative learning to enhance understanding and innovation. Class schedule and Syllabus  Assessment Weight (Toward final grade) Assignment Evaluation Frequency: 4-6 Pop-Quiz 20% 10% Frequency: 5-7 Exam 1 1. Students must pass Exam 2 Frequency: 1 in order to pass the course. Description: The exam will contain application exercises and may also include multiple-choice questions, 25% 2. Grading: true/false, and or short answer questions. A = 80 - 100% Exam 2 B = 70 - 79% Frequency: 1 C = 60 - 69% Description: A final exam that covers all the concepts presented throughout the semester. The exam will 25% D = 50 59% contain application exercises and may also include F = Less than 50% multiple-choice questions, true/false, and or short answer questions. Project Frequency: 2 20% Total 100% Getting to Know You Name: Education: Industry Experience: Yes/No [If Yes: Number of Years of Experience] [Industry Sector] Tell an Interesting Fun Fact About Yourself: Share a unique or surprising aspect about yourself that's not commonly known What's one thing you particularly like or find fascinating about Canada? Other prep for upcoming classes Reference Books - Artificial Intelligence: A Modern Approach, 3rd Edition Stuart Russell, University of California at Berkeley Nils J. Nilsson. Artificial Intelligence: A new synthesis. Morgan Kaufmann Publishers: 1998 Geroge F. Luger. Artificial Intelligence: structures and strategies for complex problem solving. 4th ed. Addison Wesley: 2002  https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/?practice-assessment-type=certification Top 10 Reasons why you should learn AI AI in AI in the AI in the AI in the AI in Fraud Healthcare Mobile World Automobile Retail Industry Detection Industry Revolutionizing Powering Driving Personalizing Detecting patient care with intelligent autonomous shopping anomalies in predictive personal vehicle experiences. financial analytics. assistants. technology. Optimizing transactions. Automating Enhancing user Improving safety supply chain Reducing diagnostic experience with advanced management. financial losses processes. through driver-assistance for businesses. customization. systems.  Top 10 Reasons why you should learn AI AI in Online AI in Security AI in Music and AI in Smart AI in Responding Customer Surveillance Movie Home Devices to Your Emails Support Recommendatio n Services Operating Enhancing Curating Automating Sorting and efficient chatbots monitoring with personalized home prioritizing email for instant facial recognition. entertainment environments for communications. customer service. Increasing options. convenience and Drafting quick Reducing responsiveness Improving efficiency. responses to response times to security content Integrating common and operational breaches. discoverability for devices for a inquiries. costs. users. cohesive smart home experience.  Software that imitates human capabilities What is Predicting outcomes: AI uses data to predict future results, like weather forecasts or stock market trends. Artificial Pattern recognition: AI detects patterns in large datasets, Intelligence? such as identifying fraud or spotting trends in customer behavior. Abnormal event detection: AI identifies anomalies, such as unusual financial transactions or defects in products. Interpreting visual input: AI processes images to understand objects, like in self-driving cars or facial recognition systems. Understanding language and conversations: AI can understand and respond to spoken or written language, as in virtual assistants like Siri or Alexa. Extracting information: AI gathers and analyzes information from various sources, helping with tasks like legal research or medical diagnoses. Artificial Intelligence Overview What Is Artificial Intelligence? AI is a field of computer science focused on building systems that can perform tasks requiring human-like intelligence. It involves designing algorithms that allow machines to solve problems, learn from experiences, and adapt over time. Key Capabilities of AI: Learning and Improvement: AI can learn from data and improve its performance, like how a recommendation system on Netflix gets better at suggesting movies the more you watch. Understanding Human Language: AI can understand and respond to spoken or written language, like when you ask Siri or Google Assistant a question. Problem-Solving: AI can answer questions, find patterns, and make decisions, similar to how AI-powered chatbots provide customer support. Artificial Intelligence Overview Key Characteristics of AI: Learning Over Time: AI systems are designed to adapt and improve from experience, much like humans learn from past actions. Understanding Human Language: Through natural language processing (NLP), AI can interact and comprehend human language. Answering Questions: AI utilizes vast datasets and complex algorithms to provide responses to user queries. Artificial Intelligence Overview Major Benefits of AI: Cost Efficiency: AI automates tasks, reducing the need for human labor and lowering operational costs. Speed: AI can complete tasks much faster than humans, greatly enhancing productivity. Consistency: AI provides uniform, error-free performance, minimizing mistakes due to human error. Productivity and Profitability: By improving efficiency and reducing costs, AI increases the overall productivity and profitability for businesses. Quote Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years. - Andrew Ng Understanding the Impact: AI as the new electricity Transformative potential across industries Imminent changes and advancements The Electrification of Industry and Its Parallel in AI Past: Transition from steam to electric power revolutionized transportation, manufacturing, agriculture, and healthcare. Present: AI is the new transformative force, poised to redefine these industries once more. AI is the new electricity Industries Anticipated to Undergo AI Transformation: 1.Healthcare - Enhanced diagnostics and personalized medicine 2.Finance - Advanced fraud detection and robo-advising 3.Manufacturing - Increased automation and predictive maintenance 4.Education - Customized learning experiences and administrative automation 5.Agriculture - Precision farming and crop management 6.Transportation - Self-driving technology and traffic optimization Preparing for the AI Revolution: The need for adaptable skills Embracing continuous learning Anticipating ethical considerations  The Electrification of Industry and Its Parallel in AI The Impact of Electrification: 1. Transportation: Electric trains and cars replaced steam engines, leading to faster, cleaner, and more efficient travel. 2. Manufacturing: Electric machinery increased production speeds, safety, and precision. 3. Agriculture: Electric equipment improved farming efficiency and productivity. 4. Healthcare: Electrification led to advanced medical devices and diagnostics. The Emerging AI Revolution: 1. Transportation: AI-driven autonomous vehicles aim to enhance safety and reduce human labor. 2. Manufacturing: AI and robotics are creating smart factories with predictive maintenance and optimized production lines. 3. Agriculture: AI in precision farming enables crop yield predictions and resource management. 4. Healthcare: AI in diagnostics, personalized medicine, and patient care management is transforming the sector. Just as electrification once fueled a wave of industrial innovation, AI now stands at the cusp of engendering a new era of transformation across all sectors. AI: The New Electricity  Distinguishing AI from Non-AI Technologies Defining Artificial Intelligence (AI): AI machines are systems that use data and algorithms to learn and improve. They can learn from experience and mistakes to become more accurate and efficient over time. AI systems can make informed decisions by analyzing situations and adapting. Characteristics of Non-AI Smart Machines: Operate based on pre-programmed rules, without the ability to learn or adapt. Consistently follow their initial programming without improving over time. Lack the ability to make independent, autonomous decisions. Key Takeaways: AI’s adaptability and decision-making abilities differentiate it from other smart machines. AI can handle complex and unpredictable tasks by continuously learning and improving.  Exploring the Vast Application Areas of Artificial Intelligence AI Across Various Sectors: Medicine: AI helps with diagnosing diseases, personalizing treatments, and discovering new drugs. Education: AI enables customized learning experiences and automates administrative tasks. Financial: AI is used in algorithmic trading, assessing risks, and improving customer service. Legal: AI speeds up document analysis and enhances legal research. Space: AI assists in analyzing data from space exploration and satellite imagery. Gaming: AI creates intelligent non-player characters (NPCs) and adjusts difficulty based on player skill. Agriculture: AI monitors crop health and predicts yields. Defense: AI powers autonomous drones and simulates potential threats. AI is not just a single technology but a constellation of advancements that are reshaping every corner of our lives, from the way we travel to how we protect our personal information.  Exploring the Vast Application Areas of Artificial Intelligence Broad Spectrum of AI Applications: Self-Driving Cars: AI helps cars navigate, make decisions, and detect obstacles. Personalized Shopping: AI provides customized product recommendations and special offers. Fraud Prevention: AI detects and prevents fraudulent activities by recognizing patterns in data. Facial Recognition: AI enhances security and verifies identities using facial features. Digital Assistants and Smart Speakers: Voice-activated AI like Siri or Alexa offers hands- free help and home automation. Translation: AI enables real-time language translation, making global communication easier. Recommendation Systems: AI curates content for users, like suggesting videos on YouTube or products on Amazon.  Scared – will enslave or kill us all How do you Worried – has benefits but overall will increase inequality, bias, etc. feel about Neutral – either don’t know enough to feel one way or the other or AI is just another artificial technology that neither scares, worries, or excites me intelligence? Excited – believe the world will be a better place because of AI Suggested Reading and videos https://www.youtube.com/watch?v=BrNs0M77Pd4 AI: the New Electricity? References and credit https://mindmajix.com/reasons-why-you-should-learn-artificial-intelligence