ML Models

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Analyze Datasets and Train ML Models using AutoML (Coursera)

Jul 4th 2022
Analyze Datasets and Train ML Models using AutoML (Coursera)
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In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into [...]
Jul 4th 2022
Course Auditing
41.00 EUR/month

Machine Learning Foundations for Product Managers (Coursera)

Jun 27th 2022
Machine Learning Foundations for Product Managers (Coursera)
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In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and [...]
Jun 27th 2022
Course Auditing
32.00 EUR/month

Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera)

Jun 27th 2022
Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera)
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In the third course of the Practical Data Science Specialization, you will learn a series of performance-improvement and cost-reduction techniques to automatically tune model accuracy, compare prediction performance, and generate new training data with human intelligence. After tuning your text classifier using Amazon SageMaker Hyper-parameter Tuning (HPT), you [...]
Jun 27th 2022
Course Auditing
42.00 EUR/month

Introduction to Machine Learning in Production (Coursera)

Jun 27th 2022
Introduction to Machine Learning in Production (Coursera)
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In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the [...]
Jun 27th 2022
Course Auditing
42.00 EUR/month

Estimating ML-Models Financial Impact (Coursera)

This course covers the basics of financial impact estimation for machine learning models deployed in business processes. We will discuss the general approaches to financial estimation, consider the applications to credit scoring and marketing response models, and focus on the relationship between statistical model quality metrics and financial results, [...]

Managing Machine Learning Projects with Google Cloud (Coursera)

Jun 13th 2022
Managing Machine Learning Projects with Google Cloud (Coursera)
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Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning [...]
Jun 13th 2022
Course Auditing
41.00 EUR/month

Machine Learning Operations 1 (MLOps1-GCP): Deploying AI & ML Models in Production using Google Cloud Platform (GCP) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we [...]

Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we [...]

Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we [...]

Practical Crowdsourcing for Efficient Machine Learning (Coursera)

Apr 25th 2022
Practical Crowdsourcing for Efficient Machine Learning (Coursera)
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This course will teach you efficient and scalable data labeling for ML and various business processes. The key here is the crowdsourcing approach, based on splitting complex challenges into small tasks and distributing them among a vast cloud of performers. You will get acquainted with crowdsourcing as a methodology, [...]