Zero to AI video edition
Focused View
10:15:45
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Chapter 1. An introduction to artificial intelligence.mp4
09:06
Chapter 1. Our teaching method.mp4
04:07
Chapter 1. The engine of the AI revolution- machine learning.mp4
05:19
Chapter 1. What is artificial intelligence, after all-.mp4
06:45
Chapter 2. Adding AI capabilities to FutureHouse.mp4
10:34
Chapter 2. Artificial intelligence for core business data.mp4
06:40
Chapter 2. Case studies.mp4
13:59
Chapter 2. Evaluating performance and risk.mp4
07:05
Chapter 2. Evaluating performance and risk 2.mp4
07:05
Chapter 2. How Square used AI to lend billions to small businesses.mp4
12:23
Chapter 2. The machine learning advantage.mp4
09:00
Chapter 2. Using AI with core business data.mp4
06:10
Chapter 3. AI for sales and marketing.mp4
05:46
Chapter 3. AI to anticipate customer needs- Target.mp4
09:57
Chapter 3. Case studies.mp4
10:47
Chapter 3. Measuring performance.mp4
09:42
Chapter 3. Predicting churning customers.mp4
09:16
Chapter 3. Tying ML metrics to business outcomes and risks.mp4
05:45
Chapter 3. Unsupervised learning for customer segmentation.mp4
06:10
Chapter 3. Unsupervised learning (or clustering).mp4
08:53
Chapter 3. Using AI to boost conversion rates and upselling.mp4
09:56
Chapter 4. AI for media.mp4
08:20
Chapter 4. AI for media 2.mp4
08:20
Chapter 4. Case study- optimizing agriculture with deep learning.mp4
10:14
Chapter 4. Using AI for image classification- deep learning-.mp4
08:14
Chapter 4. Using content generation and style transfer.mp4
12:36
Chapter 4. Using transfer learning with small datasets.mp4
10:07
Chapter 5. AI for natural language.mp4
05:26
Chapter 5. Adding NLP capabilities to your organization.mp4
05:12
Chapter 5. Breaking down NLP- Measuring complexity.mp4
05:51
Chapter 5. Case questions.mp4
07:44
Chapter 5. Case study- Translated.mp4
09:57
Chapter 5. Designing products that overcome technology limitations.mp4
05:24
Chapter 5. From sentiment analysis to text classification.mp4
07:16
Chapter 5. Natural conversation.mp4
08:27
Chapter 5. Scoping a NLP classification project.mp4
06:05
Chapter 5. Sentiment analysis.mp4
07:23
Chapter 6. AI for content curation and community building.mp4
10:34
Chapter 6. Content-based systems beyond simple features.mp4
08:35
Chapter 6. Netflixs recommender system.mp4
06:18
Chapter 6. Recommendations gone wrong.mp4
06:10
Chapter 6. The business value of recommendations.mp4
08:38
Chapter 6. The wisdom of crowds- collaborative filtering.mp4
07:53
Chapter 7. Deconstructing an AI product.mp4
13:03
Chapter 7. Exercises.mp4
12:26
Chapter 7. Invention- Scouting for AI opportunities.mp4
07:28
Chapter 7. Prioritization- Evaluating AI projects.mp4
11:13
Chapter 7. Readyfinding AI opportunities.mp4
14:49
Chapter 7. Translating an AI project into ML-friendly terms.mp4
11:47
Chapter 7. Validation- Analyzing risks.mp4
07:21
Chapter 8. Data quality.mp4
08:34
Chapter 8. How much data do I need-.mp4
07:47
Chapter 8. Recruiting an AI team.mp4
11:12
Chapter 8. Setpreparing data, technology, and people.mp4
04:20
Chapter 8. Where do I get data-.mp4
13:02
Chapter 9. Doing things yourself- Build solutions.mp4
05:01
Chapter 9. Emotional diary.mp4
06:58
Chapter 9. GoAI implementation strategy.mp4
08:34
Chapter 9. Managing AI projects.mp4
06:36
Chapter 9. The Borrow option- ML platforms.mp4
09:34
Chapter 9. Understanding the virtuous cycle of AI.mp4
09:56
Chapter 9. Using the Lean Strategy.mp4
10:13
Chapter 9. When AI fails.mp4
10:34
Chapter 10. AI and jobs.mp4
10:35
Chapter 10. Health care.mp4
12:18
Chapter 10. Manufacturing.mp4
09:40
Chapter 10. Opportunities for AI in industries.mp4
07:52
Chapter 10. Opportunities for AI in society.mp4
07:02
Chapter 10. What about general AI-.mp4
06:19
Chapter 10. What lies ahead.mp4
11:50
Chapter 10. When AI fails- Corner cases and adversarial attacks.mp4
07:29
Part 1. Understanding AI.mp4
01:48
Part 2. Building AI.mp4
01:15
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O'Reilly
View courses O'ReillyO'Reilly Media is an American learning company established by Tim O'Reilly that publishes books, produces tech conferences, and provides an online learning platform. Its distinctive brand features a woodcut of an animal on many of its book covers.
- language english
- Training sessions 73
- duration 10:15:45
- Release Date 2023/12/14
