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The Machine Learning Workshop
Hyatt Saleh更新时间：2021-06-18 18:24:05
最新章节：6. Building Your Own Program开会员，本书免费读 >
Machinelearningalgorithmsareanintegralpartofalmostallmodernapplications.Tomakethelearningprocessfasterandmoreaccurate,youneedatoolflexibleandpowerfulenoughtohelpyoubuildmachinelearningalgorithmsquicklyandeasily.WithTheMachineLearningWorkshop,you'llmasterthescikit-learnlibraryandbecomeproficientindevelopingclevermachinelearningalgorithms.TheMachineLearningWorkshopbeginsbydemonstratinghowunsupervisedandsupervisedlearningalgorithmsworkbyanalyzingareal-worlddatasetofwholesalecustomers.Onceyou'vegottogripswiththebasics,you’lldevelopanartificialneuralnetworkusingscikit-learnandthenimproveitsperformancebyfine-tuninghyperparameters.Towardstheendoftheworkshop,you'llstudythedatasetofabank'smarketingactivitiesandbuildmachinelearningmodelsthatcanlistclientswhoarelikelytosubscribetoatermdeposit.You'llalsolearnhowtocomparethesemodelsandselecttheoptimalone.BytheendofTheMachineLearningWorkshop,you'llnotonlyhavelearnedthedifferencebetweensupervisedandunsupervisedmodelsandtheirapplicationsintherealworld,butyou'llalsohavedevelopedtheskillsrequiredtogetstartedwithprogrammingyourveryownmachinelearningalgorithms.
品牌：中图公司
上架时间：2020-07-22 00:00:00
出版社：Packt Publishing
本书数字版权由中图公司提供，并由其授权上海阅文信息技术有限公司制作发行
The Machine Learning Workshop最新章节
查看全部- 6. Building Your Own Program
- 5. Artificial Neural Networks: Predicting Annual Income
- 4. Supervised Learning Algorithms: Predicting Annual Income
- 3. Supervised Learning – Key Steps
- 2. Unsupervised Learning – Real-Life Applications
- 1. Introduction to Scikit-Learn
- Appendix
- Summary
- Interacting with a Trained Model
- Saving and Loading a Trained Model
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