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
Skills you'll gain: 3D Modeling, 3D Assets, Computer Graphics, Computer Graphic Techniques, Animation and Game Design, Graphical Tools
Skills you'll gain: Dashboard, Key Performance Indicators (KPIs), Interactive Data Visualization, Data Presentation, Business Intelligence, Web Analytics, Business Analytics, Requirements Elicitation, Data Storytelling, Performance Analysis, Requirements Analysis, Business Requirements, Stakeholder Analysis, Self Service Technologies
Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Debugging, Test Automation, Configuration Management, Continuous Integration
Packt
Skills you'll gain: Vulnerability Scanning, Network Security, Network Administration, Network Protocols, Network Analysis, TCP/IP, File Transfer Protocol (FTP), Software Installation, Ubuntu, Command-Line Interface, Open Source Technology
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Deployment, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps
Skills you'll gain: Microsoft Azure, Cloud Security, Data Security, Kubernetes, Security Controls, Hardening, Database Architecture and Administration, Identity and Access Management, Data Storage Technologies, Infrastructure Security, Data Storage, Role-Based Access Control (RBAC), System Configuration, Continuous Monitoring, Encryption, Key Management, Containerization, Data Governance
Google Cloud
Skills you'll gain: Google Gemini, Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Google Cloud
Skills you'll gain: Responsible AI, Generative AI, AI Security, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation
Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
Skills you'll gain: Apple software proficiency, Cloud Deployment, Software Installation
Google Cloud
Skills you'll gain: Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Machine Learning Methods
Skills you'll gain: Technical Documentation, Brute-force attacks, Information Systems Security, Cybersecurity, Virtual Machines, Virtual Environment, Network Analysis
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Advanced 3D Techniques and Sculpting for Games: Packt
- Build Interactive Dashboards for Meaningful Insights: Coursera
- Advanced UiPath, Orchestrator, and Mock Interviews: Packt
- Nmap: Packt
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- Securing Compute, Storage, and Databases in Azure: Packt
- Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
- 生成式 AI：剖析基本概念: Google Cloud
- Regression & Logistic Models in Excel & Minitab: EDUCBA
- Apple Device Deployment Projects – Hands-On Implementation: Packt
