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Python Artificial Intelligence Projects for Beginners
ArtificialIntelligence(AI)isthenewesttechnologythat’sbeingemployedamongvariedbusinesses,industries,andsectors.PythonArtificialIntelligenceProjectsforBeginnersdemonstratesAIprojectsinPython,coveringmoderntechniquesthatmakeuptheworldofArtificialIntelligence.ThisbookbeginswithhelpingyoutobuildyourfirstpredictionmodelusingthepopularPythonlibrary,scikit-learn.Youwillunderstandhowtobuildaclassifierusinganeffectivemachinelearningtechnique,randomforest,anddecisiontrees.Withexcitingprojectsonpredictingbirdspecies,analyzingstudentperformancedata,songgenreidentification,andspamdetection,youwilllearnthefundamentalsandvariousalgorithmsandtechniquesthatfosterthedevelopmentofthesesmartapplications.Intheconcludingchapters,youwillalsounderstanddeeplearningandneuralnetworkmechanismsthroughtheseprojectswiththehelpoftheKeraslibrary.Bytheendofthisbook,youwillbeconfidentinbuildingyourownAIprojectswithPythonandbereadytotakeonmoreadvancedprojectsasyouprogress.
目錄(56章)
倒序
- 封面
- Title Page
- Copyright and Credits
- Python Artificial Intelligence Projects for Beginners
- Packt Upsell
- Why subscribe?
- PacktPub.com
- Contributors
- About the author
- Packt is searching for authors like you
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the example code files
- Download the color images
- Conventions used
- Get in touch
- Reviews
- Building Your Own Prediction Models
- Classification overview and evaluation techniques
- Evaluation
- Decision trees
- Common APIs for scikit-learn classifiers
- Prediction involving decision trees and student performance data
- Summary
- Prediction with Random Forests
- Random forests
- Usage of random forest
- Predicting bird species with random forests
- Making a confusion matrix for the data
- Summary
- Applications for Comment Classification
- Text classification
- Machine learning techniques
- Bag of words
- Detecting YouTube comment spam
- Word2Vec models
- Doc2Vec
- Document vector
- Detecting positive or negative sentiments in user reviews
- Summary
- Neural Networks
- Understanding neural networks
- Feed-forward neural networks
- Identifying the genre of a song with neural networks
- Revising the spam detector to use neural networks
- Summary
- Deep Learning
- Deep learning methods
- Convolutions and pooling
- Identifying handwritten mathematical symbols with CNNs
- Revisiting the bird species identifier to use images
- Summary
- Other Books You May Enjoy
- Leave a review - let other readers know what you think 更新時間：2021-07-23 17:06:17
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