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 Gemini, Gemini, Generative AI, Google Cloud Platform, Large Language Modeling, Customer Relationship Management, AI literacy, Applied Machine Learning, SQL, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Google Cloud
Skills you'll gain: Data Lakes, Data Governance, Google Cloud Platform, Data Storage Technologies, Data Storage, Data Management, Data Warehousing, Data Architecture, Operational Data Store, Advanced Analytics, Cloud Storage, Big Data, Analytics, Data Security, Applied Machine Learning, Open Source Technology
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Data Mining, Supervised Learning, Unsupervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Probability, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Model Training, Data Warehousing, Performance Testing, Bash (Scripting Language), Data Science
In summary, here are 3 of our most popular applied machine learning courses
- Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
- Google Cloud 에서 데이터 레이크와 데이터 웨어하우스 빌드하기: Google Cloud
- Data Science Graduate Certificate: University of Colorado Boulder
