Machine Learning For Dummies
Basics and Advanced Machine Learning Quizzes, Cheat Sheets
Cloud ML Operations: AWS MLS-C01, Azure AI-900, GCP ML
ML Job Interviews Q&A
NLP
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Use this App to learn about Machine Learning and Elevate your Brain with Machine Learning Quizzes, Cheat Sheets, Ml Jobs Interview Questions and Answers updated daily.
The App provides:
- 400+ Machine Learning Operation on AWS, Azure, GCP and Detailed Answers and References
- 100+ Machine Learning Basics Questions and Answers
- 100+ Machine Learning Advanced Questions and Answers
- Scorecard
- Countdown timer
- Machine Learning CheatSheets
- Machine Learning Interview Questions and Answers
- Machine Learning Latest News
The App covers: Azure AI Fundamentals AI-900 Exam Prep: Azure AI 900, ML, Natural Language Processing, Modeling, Data Engineering, Computer Vision, Exploratory Data Analysis, ML implementation and Operations, S3, SageMaker, Kinesis, Lake Formation, Athena, Kibana, Redshift, Textract, EMR, Glue, GCP PROFESSIONAL Machine Learning Engineer, Framing ML problems, Architecting ML solutions, Designing data preparation and processing systems, Developing ML models, Monitoring, optimizing, and maintaining ML solutions, Automating and orchestrating ML pipelines, Quiz and Brain Teaser for AWS Machine Learning MLS-C01, Cloud Build, Kubeflow, TensorFlow, CSV, JSON, IMG, parquet or databases, Hadoop/Spark, Vertex AI Prediction, Describe Artificial Intelligence workloads and considerations, Describe fundamental principles of machine learning on Azure, Describe features of computer vision workloads on Azure, Describe features of Natural Language Processing (NLP) workloads on Azure , Describe features of conversational AI workloads on Azure, QnA Maker service, Language Understanding service (LUIS), Speech service, Translator Text service, Form Recognizer service, Face service, Custom Vision service, Computer Vision service, facial detection, facial recognition, and facial analysis solutions, optical character recognition solutions, object detection solutions, image classification solutions, azure Machine Learning designer, automated ML UI, conversational AI workloads, anomaly detection workloads, forecasting workloads identify features of anomaly detection work, NLP, Kafka, SQl, NoSQL, Python, DocumentDB, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.
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