Search result for Courses taught by Mark J Grover
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Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
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Approx. 9 hours to complete
An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models....
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques....
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. By the end of this course you should be able to:...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data....
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
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Approx. 8 hours to complete
This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. A hypothetical streaming media company will be introduced as your new client....
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis....
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
This is the third course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. The case studies will focus on topic modeling and data visualization....
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 17 hours to complete
This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course focuses on models in production at a hypothetical streaming media company....
