Скачать или смотреть Katrina Lawrence - Data Science & AI Presentation for Business Professionals

💼 Are you a professional curious about data science and artificial intelligence, but don’t have a technical background?
This video offers a clear and practical introduction to Data Science and AI, tailored for finance professionals and other non-technical audiences.

🎓 Originally delivered as a live presentation to a group of finance experts, this session breaks down complex concepts into simple, relatable ideas that anyone can understand — no coding or math degree required! This video is Part 1 of the series.

Key Moments:
01:05 What is Data Science
04:00 Data Science Time Breakdown
06:35 What is Data Wrangling? (Data Cleaning or Data Munging)
08:47 What is Data Mining?
10:55 What is AI?

🧠 What You’ll Learn:
✅ What is Data Science?
– Understand what a data scientist actually does day-to-day
– Explore the data science workflow: from data collection to insights

✅ What is Artificial Intelligence (AI)?
– Learn how machines can “learn” from data
– Understand predictive modeling, machine learning, and neural networks

✅ Essential Concepts Made Easy:
– Data cleaning and preprocessing: the foundation of good AI
– Data mining and extracting patterns
– Supervised learning and training models
– Evaluating models: accuracy, error functions, and why it matters
– Real-world examples in finance, business, and tech

💡 Who This Is For:
– Finance professionals looking to transition into data-driven roles
– Business leaders exploring the power of AI
– Students and beginners curious about AI/ML careers
– Anyone who wants a plain-English intro to data science and artificial intelligence

📊 Why It Matters:
Today’s industries — from finance to healthcare to marketing — are being transformed by data-driven decision making. Knowing how AI and data science work can help you stay competitive, make informed decisions, and identify automation opportunities.

🎯 Bonus:
This is part of a growing playlist of content designed to bridge the gap between technical AI concepts and real-world business needs. Check out my channel for more accessible breakdowns of machine learning, math for AI, and practical data science tutorials!

👍 Like this video if it helped demystify AI.
💬 Comment below with any questions — I’m happy to help!
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This video is a machine learning math Q&A lecture as part of my math series about derivatives, linear algebra and machine learning. This video is a follow up to the ML Math Refresher as part of Cohere Lab's ML Summer School. Subscribe to my channel if you want to learn more about math and machine learning math tricks!

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