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
Status: NewStatus: PreviewSkills you'll gain: Business Communication, Usability, Web Design, Web Development, User Interface (UI), Project Planning, Wireframing, Blogs, Interaction Design, Responsive Web Design, HTML and CSS, Javascript
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Event-Driven Programming, Server Side, Front-End Web Development, Computer Networking
Status: NewStatus: Free TrialSkills you'll gain: Root Cause Analysis, Data Security, Problem Management, Systems Analysis, Site Reliability Engineering, Capacity Management, Resource Management, Identity and Access Management, Role-Based Access Control (RBAC), Compliance Auditing
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Machine Learning Algorithms, Real-Time Operating Systems, Big Data, Internet Of Things, Product Development, Data Preprocessing, Analytics, Embedded Software, Embedded Systems, File Systems, New Product Development, Data Analysis, Debugging, Model Based Systems Engineering, Wireless Networks, Infrastructure Security, General Networking, Computer Engineering, Cybersecurity, Failure Analysis
Status: Free TrialSkills you'll gain: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: SPSS (Software), Market Data, Regression Analysis, Analytics, Data Analysis, Statistical Reporting, Technical Communication, Statistical Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Modeling, Scatter Plots, Financial Modeling, Statistical Visualization
Status: PreviewUniversity of London
Skills you'll gain: Court Systems, Case Law, Legal Research, Legal Proceedings, Law, Regulation, and Compliance, Civil Law, Political Sciences, European History, Governance
Status: NewStatus: Free TrialSkills you'll gain: Performance Tuning
Status: NewSkills you'll gain: Retrieval-Augmented Generation, AI Orchestration, Model Deployment, Cloud Deployment, Vector Databases
Status: NewStatus: PreviewUniversitat Politècnica de València
In summary, here are 10 of our most popular applied machine learning courses
- Design a Parallax Business Consultancy Website Project: EDUCBA
- Optimize TensorFlow Models For Deployment with TensorRT: Coursera
- Analyze and Build a Real-Time Chat App with Node.js: EDUCBA
- SQL Infrastructure: Secure and Optimize: Coursera
- Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
- Developing Industrial Internet of Things: University of Colorado Boulder
- Python, SQL, Tableau for Data Science: Coursera
- Analyze Financial & Market Data Using SPSS Regression: EDUCBA
- Introduction to English Common Law: University of London
- Apply OpenGL Texturing and Camera Systems: EDUCBA
