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: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training
Skills you'll gain: Model Evaluation, Big Data, Model Training, Predictive Modeling, Google Cloud Platform, Data Access, Applied Machine Learning, Predictive Analytics, Forecasting, Data Management, Machine Learning
University of Colorado Boulder
Skills you'll gain: Education Software and Technology, Course Development, Digital pedagogy, Language Learning, AI Integrations
Skills you'll gain: Penetration Testing, Vulnerability Assessments, Network Protocols, Network Analysis, Network Monitoring, Image Analysis, Virtual Machines, Virtualization and Virtual Machines, Virtual Environment, Open Source Technology, Command-Line Interface, Software Installation, Linux, Microsoft Windows
Skills you'll gain: Video Production, Instructional Design, Digital pedagogy, Virtual Environment, User Interface and User Experience (UI/UX) Design, Virtual Reality, Teaching, User Experience Design, Education Software and Technology, User Centered Design, Student Engagement, Learning Styles, Human Centered Design, UI/UX Research, Online Advertising, Survey Creation
Google Cloud
Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Performance Tuning, Distributed Computing, Data Preprocessing, Embeddings
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing
Skills you'll gain: Angular, TypeScript, JavaScript Frameworks, UI Components, Frontend Performance, React Native, Web Applications, Front-End Web Development, React.js, Javascript, Web Development, Frontend Integration, Restful API, User Interface (UI), Unit Testing
Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, File I/O, Application Programming Interface (API), Programming Principles, Databases, Development Environment, Web Applications, Code Reusability, Data Management, Functional Design, Memory Management, Data Validation
In summary, here are 10 of our most popular applied machine learning courses
- Deep Learning - Computer Vision for Beginners Using PyTorch:Â Packt
- Predict Taxi Fare with a BigQuery ML Forecasting Model:Â Google Cloud
- R: Apply & Analyze K-Means Clustering for Unsupervised ML:Â EDUCBA
- ML Model Development and Tracking: Hands-on Guide:Â KodeKloud
- Blended Language Learning in the Age of AI: Design and Practice for Teachers:Â University of Colorado Boulder
- Digital Forensics for Pentesters - Hands-On Learning:Â Packt
- Design for Learning: UX in Online Teaching:Â Packt
- Using Beam ML to catch Toxicity in Gaming:Â Google Cloud
- Deep Learning: Advanced Backbones and Efficient GPU Training:Â Board Infinity
- Deep Learning Frameworks and Neural Networks Simplified:Â Simplilearn
