Applied Machine Learning Courses
Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.
Popular Applied Machine Learning Courses and Certifications
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Management, Cloud Computing, Cloud Services, Command-Line Interface
Skills you'll gain: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis
Skills you'll gain: Healthcare Project Management, Project Risk Management, Performance Metric, Continuous Improvement Process, Risk Management, Project Coordination, Health Care Procedure and Regulation, Project Management Software, Workflow Management, Project Management, Team Building, Collaboration, Project Implementation, Regulatory Affairs, Compliance Management, Operational Efficiency
Skills you'll gain: Negotiation, Contract Negotiation, Influencing, Communication, Relationship Building, Interpersonal Communications, Rapport Building, Verbal Communication Skills, Planning, Goal Setting
DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation
Skills you'll gain: Process Optimization, Process Improvement, Brainstorming, Continuous Improvement Process, Business Process Improvement, Root Cause Analysis, Creative Problem-Solving, Innovation, Operational Efficiency, Knowledge Transfer, Collaboration, Technology Strategies, Data Management
Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming
University of Glasgow
Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, Analytics, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Web Applications, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Computer Programming
Johns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
Skills you'll gain: Data-Driven Decision-Making, Data Management, Database Development
Skills you'll gain: Embeddings, Google Cloud Platform, Vector Databases, Text Mining, Applied Machine Learning, Cloud Computing
Skills you'll gain: Azure DevOps Pipelines, Kubernetes, Azure DevOps, Node.JS, CI/CD, DevOps, Application Lifecycle Management, Microservices, Program Development, Containerization, Software Testing, Debugging, Cloud Development, Cloud Deployment, Application Deployment, Scripting, Version Control, Git (Version Control System)
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Getting Started with Cloud Shell and gcloud:Â Google Cloud
- First Steps in Python with Jupyter Notebooks:Â Coursera
- Project Management in Healthcare : Tools and Tactics:Â Coursera
- The Beginner’s Guide to Business Negotiation : Coursera
- Quantization in Depth:Â DeepLearning.AI
- Process Improvement and Problem Solving:Â Packt
- Data Visualization using Plotnine and ggplot:Â Coursera
- Computational Thinking with JavaScript:Â University of Glasgow
- Data Science Decisions in Time: Information Theory & Games:Â Johns Hopkins University
- Business Intelligence with Databricks:Â Edureka
