MLS参考資料
https://tech.nri-net.com/entry/aws_certified_machine_learning_specialty
https://qiita.com/go_sougen/items/6a813eac0b2208e43bfb
https://iron-breaker.hatenablog.com/entry/2020/01/25/082845
https://www.blog.danishi.net/2021/05/30/post-5030/
https://www.blog.danishi.net/2021/05/25/post-5001/
https://future-architect.github.io/articles/20200729/
https://aws.amazon.com/jp/certification/certified-machine-learning-specialty/
https://d1.awsstatic.com/ja_JP/training-and-certification/docs-ml/AWS-Certified-Machine-Learning-Specialty_Exam-Guide.pdf
dev io
https://dev.classmethod.jp/articles/yoshim-sagemaker-rcf/
https://dev.classmethod.jp/articles/getting-started-amazon-sagemaker-built-in-algorithms-object2vec/
https://dev.classmethod.jp/articles/yoshim_2017ad_tfidf_1-2/
https://dev.classmethod.jp/articles/re-introduction-iot-2021-amazon-kinesis-video-streams/
https://dev.classmethod.jp/articles/amazon-sagemaker-arch/
https://dev.classmethod.jp/articles/add-japanese-analyzing-on-comprehend/
https://dev.classmethod.jp/articles/amazon-sagemaker-multi-model-endpoints-introduction/
https://dev.classmethod.jp/articles/amazon-fraud-detector-ga/
blackbelt
https://pages.awscloud.com/rs/112-TZM-766/images/A2-08.pdf
https://d1.awsstatic.com/webinars/jp/pdf/services/20190206_AWS_BlackBelt_SageMaker_part1.pdf
https://d1.awsstatic.com/webinars/jp/pdf/services/20190213_AWS_BlackBelt_SageMaker_part2.pdf
https://d1.awsstatic.com/webinars/jp/pdf/services/20190924_AmazonAIService_AWSBlackBelt.pdf
https://d1.awsstatic.com/webinars/jp/pdf/services/20200602_BlackBelt_AWS_AI_Language_Services.pdf
https://pages.awscloud.com/rs/112-TZM-766/images/AWS%E3%81%AE%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E3%82%B5%E3%83%BC%E3%83%92%E3%82%99%E3%82%B9%E3%81%A8Amazon%20SageMaker%20%E3%81%AE%E5%9F%BA%E7%A4%8E.pdf
公式問題
https://d1.awsstatic.com/ja_JP/training-and-certification/docs-ml/AWS-Certified-Machine-Learning-Specialty_Sample-Questions.pdf
https://pages.awscloud.com/rs/112-TZM-766/images/Certification_Specialty_ML.pdf
https://explore.skillbuilder.aws/learn/signin
https://amazonmr.au1.qualtrics.com/jfe/form/SV_d6kpXQYGeHynYm9
https://amazonwebservices.benchprep.com/app/aws-certification-official-practice-question-sets-japanese
公式参考資料
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/splitting-types.html
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/types-of-ml-models.html
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/data-transformations-reference.html
https://aws.amazon.com/jp/blogs/news/amazon-sagemaker-automatic-model-tuning-now-supports-random-search-and-hyperparameter-scaling/
https://aws.amazon.com/jp/blogs/machine-learning/optimizing-costs-for-machine-learning-with-amazon-sagemaker/
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/amazon-machine-learning-key-concepts.html#evaluations
https://aws.amazon.com/jp/sagemaker/faqs/?ml=sec&sec=prep
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/xgboost_hyperparameters.html
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/automatic-model-tuning-considerations.html#automatic-model-tuning-log-scales
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/IC-HowItWorks.html
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/object-detection.html
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/automatic-model-tuning-considerations.html
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/lda.html
https://aws.amazon.com/jp/blogs/news/object-detection-and-model-retraining-with-amazon-sagemaker-and-amazon-augmented-ai/
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/data-transformations-reference.html#normalization-transformation
https://docs.aws.amazon.com/ja_jp/transcribe/latest/dg/what-is.html
https://aws.amazon.com/jp/blogs/news/a-b-testing-ml-models-in-production-using-amazon-sagemaker/
https://aws.amazon.com/jp/sagemaker/data-labeling/pricing/
https://aws.amazon.com/jp/personalize/
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/binary-classification.html
https://aws.amazon.com/jp/codeguru/
https://docs.aws.amazon.com/ja_jp/machine-learning/latest/dg/model-fit-underfitting-vs-overfitting.html
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/sms-reusing-data.html
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/sms-verification-data.html
その他参考資料
https://www.youtube.com/watch?v=aDKplnbBziM
https://aiacademy.jp/media/?p=248
https://qiita.com/FukuharaYohei/items/be89a99c53586fa4e2e4
https://toeming.hatenablog.com/entry/2021/05/08/sas_binning_iroiro
https://jp.mathworks.com/solutions/image-video-processing/semantic-segmentation.html#:~:text=%E3%82%BB%E3%83%9E%E3%83%B3%E3%83%86%E3%82%A3%E3%83%83%E3%82%AF%20%E3%82%BB%E3%82%B0%E3%83%A1%E3%83%B3%E3%83%86%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%20(Semantic%20Segmentation)%20%E3%81%AF,%E3%81%9F%E3%82%81%E3%81%AB%E4%BD%BF%E7%94%A8%E3%81%95%E3%82%8C%E3%81%BE%E3%81%99%E3%80%82
https://qiita.com/kenta1984/items/b08d5caeed6ed9c8abf1
https://qiita.com/oirom/items/22ccb7c0139dce925f43
https://helve-blog.com/posts/math/locally-linear-embedding/
https://qiita.com/g-k/items/120f1cf85ff2ceae4aba
https://blog.brainpad.co.jp/entry/2017/02/03/153000
https://aizine.ai/logistic-regression0810/#toc2
https://qiita.com/harusamet/items/4ff6121e7683d7af7621
https://hodai.globis.co.jp/courses/5cebfa15
https://aismiley.co.jp/ai_news/clustering/#:~:text=%E3%81%82%E3%81%8F%E3%81%BE%E3%81%A7%E3%82%82%E3%83%87%E3%83%BC%E3%82%BF%E3%82%92%E3%82%82%E3%81%A8,%E3%81%B0%E5%88%86%E3%81%8B%E3%82%8A%E3%82%84%E3%81%99%E3%81%84%E3%81%A7%E3%81%97%E3%82%87%E3%81%86%E3%80%82
https://www.weblio.jp/content/Amazon+Mechanical+Turk
https://qiita.com/s_katagiri/items/d630685dd2fe2627ecd3
https://bellcurve.jp/statistics/glossary/5495.html#:~:text=scatter%20plot%20matrix,%E3%81%AB%E6%8D%89%E3%81%88%E3%82%8B%E3%81%93%E3%81%A8%E3%81%8C%E3%81%A7%E3%81%8D%E3%82%8B%E3%80%82
https://qiita.com/tomiyou/items/e1842775e7aaee04ada3
https://aiacademy.jp/media/?p=3270
https://blog.apar.jp/deep-learning/11979/
https://atmarkit.itmedia.co.jp/ait/articles/2110/07/news027.html
https://qiita.com/akatsuki174/items/9f273ecfd29245a9f39d#%E3%83%88%E3%83%BC%E3%82%AF%E3%83%B3%E5%8C%96
https://atmarkit.itmedia.co.jp/ait/articles/2003/26/news012.html
https://atmarkit.itmedia.co.jp/ait/articles/2003/19/news015.html
https://monoist.itmedia.co.jp/mn/articles/2004/07/news017.html
https://atmarkit.itmedia.co.jp/ad/crm/contents/crm05.html
https://www2.deloitte.com/jp/ja/pages/deloitte-analytics/articles/statistical-anomaly-detection2.html
https://www.albert2005.co.jp/knowledge/statistics_analysis/multivariate_analysis/multivariate_method
https://avinton.com/academy/naive-bayes/
https://www.imagazine.co.jp/%E5%86%8D%E5%B8%B0%E5%9E%8B%E3%83%8B%E3%83%A5%E3%83%BC%E3%83%A9%E3%83%AB%E3%83%8D%E3%83%83%E3%83%88%E3%83%AF%E3%83%BC%E3%82%AF%E3%81%AE%E3%80%8C%E5%9F%BA%E7%A4%8E%E3%81%AE%E5%9F%BA%E7%A4%8E%E3%80%8D/
https://aizine.ai/perceptron-0428/
https://toukei-lab.com/over-fitting
https://xtrend.nikkei.com/atcl/contents/18/00076/00009/
https://www.codexa.net/what-is-ensemble-learning/
https://www.ossnews.jp/compare/Pandas/Apache_Spark
https://atmarkit.itmedia.co.jp/ait/articles/2004/08/news016.html
koiwa
https://aws.koiwaclub.com/exam/mls/16-mls01/
https://aws.koiwaclub.com/exam/mls/17-mls02/
https://aws.koiwaclub.com/exam/mls/17-mls03/
https://aws.koiwaclub.com/exam/mls/17-mls04/
https://aws.koiwaclub.com/exam/mls/17-mls05/
https://aws.koiwaclub.com/exam/mls/17-mls06/
https://aws.koiwaclub.com/exam/mls/25-mls07/
https://aws.koiwaclub.com/exam/mls/25-mls08/
https://aws.koiwaclub.com/exam/mls/25-mls09/
https://aws.koiwaclub.com/exam/mls/25-mls10/
https://aws.koiwaclub.com/exam/mls/25-mls11/
https://aws.koiwaclub.com/exam/mls/25-mls12/
https://aws.koiwaclub.com/exam/mls/25-mls13/
https://aws.koiwaclub.com/exam/mls/01-mls14/
https://aws.koiwaclub.com/exam/mls/01-mls15/
https://aws.koiwaclub.com/exam/mls/01-mls16/
https://aws.koiwaclub.com/exam/mls/08-mls17/
https://aws.koiwaclub.com/exam/mls/08-mls18/
https://aws.koiwaclub.com/exam/mls/13-mls19/
https://aws.koiwaclub.com/exam/mls/13-mls20/
https://aws.koiwaclub.com/exam/mls/13-mls21/