AI blueprints : how to build and deploy AI business projects / Joshua Eckroth
نوع المادة : نصاللغة: الإنجليزية السلاسل:Expert insightالناشر:Birmingham, UK : Packt Publishing, 2018وصف:xi, 228 pages : illustrations; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 9781788997973
- 1788997972
- 9781788992879
- Artificial intelligence blueprints
- How to build and deploy AI business projects
- QA76.76.A65 E257 2018
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.76.A65 E257 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000005457 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.76.A65 E257 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000005458 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
QA76.76.A65 D536 2013 Apps for learning, middle school : iPad, iPod Touch, iPhone / | QA76.76.A65 D536 2013 Apps for learning, middle school : iPad, iPod Touch, iPhone / | QA76.76.A65 D536 2013 Apps for learning, middle school : iPad, iPod Touch, iPhone / | QA76.76.A65 E257 2018 AI blueprints : how to build and deploy AI business projects / | QA76.76.A65 E257 2018 AI blueprints : how to build and deploy AI business projects / | QA76.76.A65 G673 2018 Machine learning for mobile : practical guide to building intelligent mobile applications powered by machine learning / | QA76.76.A65 G673 2019 Hands-on Kubernetes on Azure : run your applications securely and at scale on the most widely adopted orchestration platform / |
Includes index
Chapter 1: The AI Workflow.-- AI isn't everything.-- The AI workflow.-- Characterize the problem.-- Checklist.-- Develop a method.-- Checklist.-- Design a deployment strategy.-- Checklist.-- Design and implement a continuous evaluation.-- Checklist.-- Overview of the chapters.-- Summary.-- Chapter 2: Planning Cloud Infrastructure.-- The problem, goal, and business case.-- Method constraint solvers.-- OptaPlanner.-- Deployment strategy.-- Continuous evaluation.-- Summary.-- Chapter 3: Making Sense of Feedback.-- The problem, goal, and business case Method sentiment analysis.-- Deployment strategy.-- CoreNLP processing pipeline.-- Twitter API.-- The GATE platform.-- Reddit API.-- News API.-- Dashboard with plotly.js and Dash.-- Continuous evaluation.-- Retraining CoreNLP sentiment models.-- Summary.-- Chapter 4: Recommending Products and Services.-- Usage scenario implicit feedback.-- Content-based recommendations.-- Collaborative filtering recommendations.-- BM25 weighting.-- Matrix factorization.-- Deployment strategy.-- Continuous evaluation.-- Calculating precision and recall for BM25 weighting.-- Online evaluation of our recommendation system.-- Summary Chapter 5: Detecting Your Logo in Social Media.--The rise of machine learning.-- Goal and business case.-- Neural networks and deep learning.-- Deep learning.-- Convolutions.-- Network architecture.-- Activation functions.-- TensorFlow and Keras.-- YOLO and Darknet.-- Continuous evaluation.-- Summary.-- Chapter 6: Discovering Trends and Recognizing Anomalies.-- Overview of techniques.-- Discovering linear trends.-- Discovering dynamic linear trends with a sliding window.-- Discovering seasonal trends.-- ARIMA.-- Dynamic linear models.-- Recognizing anomalies.-- Z-scores with static models.-- Z-scores with sliding windows.-- RPCA Clustering.-- Deployment strategy.-- Summary.-- Chapter 7: Understanding Queries and Generating Responses.-- The problem, goal, and business case.-- Our approach.-- The Pokémon domain.-- The course advising domain.-- Method NLP + logic programming + NLG.-- NLP with Rasa.-- Logic programming with Prolog and tuProlog.-- Prolog unification and resolution.-- Using Prolog from Java with tuProlog.-- Pokémon in Prolog.-- Natural language generation with SimpleNLG.-- A second example college course advising.-- Continuous evaluation.-- Summary.-- Chapter 8: Preparing for Your Future and Surviving the Hype Cycle.-- Always one step ahead The state of things.-- Natural language processing.-- Computer vision.-- Expert systems and business rules.-- Planning and scheduling.-- Robotics.-- Understanding the hype cycle of AI.-- The next big thing.—Summary.
This book shows how to build intelligent applications to solve business needs. Several paradigms of AI are covered, including deep learning, natural language processing, planning, and logic programming. Each project is developed with a business goal in mind and care is taken to address deployment and evaluation issues.