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
Macquarie University
Skills you'll gain: Pedagogy, Teaching, Instructional Design, Student Engagement
Politecnico di Milano
Skills you'll gain: Financial Statements, Financial Statement Analysis, Accounting, Financial Reporting, Management Accounting, Financial Accounting, Financial Analysis, Balance Sheet, Capital Budgeting, Cost Accounting, Income Statement, Profit and Loss (P&L) Management, Cost Management, Operating Cost, Cash Flows, Capital Expenditure, Decision Making
The Hong Kong University of Science and Technology
Skills you'll gain: Market Liquidity, Analysis, Financial Policy, Economics, International Finance, Financial Market, Financial Regulation, Market Dynamics, Supply And Demand, Forecasting
The Hong Kong University of Science and Technology
Skills you'll gain: Physics, Thermal Management, Calculus, Mechanics, Advanced Mathematics, Mathematical Modeling
DeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, ChatGPT, Large Language Modeling, Embeddings, Data Processing, Data Import/Export, Vector Databases, Prompt Engineering, Document Management
Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming
Skills you'll gain: Musical Composition, Music, Music Theory, Music Performance
Deep Teaching Solutions
Skills you'll gain: Student Engagement, Differentiated Instruction, Willingness To Learn, Persistence, Learning Theory, Problem Solving
University of Colorado Boulder
Skills you'll gain: Estimation, Model Evaluation, Simulation and Simulation Software, Machine Learning Methods, Applied Mathematics, Laboratory Testing, Matlab, Numerical Analysis, Electric Power Systems, Mathematical Modeling, Electrical Power, Statistical Methods, Electronic Components, Research, Scripting, Algorithms, Calculus
The University of Edinburgh
Skills you'll gain: Research, Science and Research, General Science and Research, Scientific Methods, Physical Science, Physics, Research Methodologies
University at Buffalo
Skills you'll gain: Blockchain, Emerging Technologies, Distributed Computing, Microsoft Azure, Cloud Computing Architecture, Platform As A Service (PaaS), Interoperability, Cryptography, Scalability, Data Storage, Information Privacy
Case Western Reserve University
Skills you'll gain: Philanthropy, Entrepreneurship, Global Marketing, Entrepreneurial Finance, Innovation, New Business Development, Community Development, Economic Development, Commercialization, Mentorship, Governance, Case Studies, Public Policies, Program Evaluation
In summary, here are 10 of our most popular applied machine learning courses
- Online education: The foundations of online teaching:Â Macquarie University
- Fundamentals of financial and management accounting:Â Politecnico di Milano
- Monetary Policy in the Asia Pacific:Â The Hong Kong University of Science and Technology
- Understanding Modern Physics I: Relativity and Cosmology:Â The Hong Kong University of Science and Technology
- LangChain Chat with Your Data:Â DeepLearning.AI
- Data Scientist Career Guide and Interview Preparation:Â IBM
- Musicianship: Tensions, Harmonic Function, and Modal Interchange:Â Berklee
- Making Math Click: Understand Math Without Fear:Â Deep Teaching Solutions
- Battery State-of-Health (SOH) Estimation:Â University of Colorado Boulder
- Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences:Â The University of Edinburgh
