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: PreviewGoogle Cloud
Skills you'll gain: Model Deployment, Tensorflow, Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Natural Language Processing, Applied Machine Learning, Text Mining
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration, Data Migration
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Machine Learning, Statistical Methods
Status: PreviewGoogle Cloud
Skills you'll gain: Data Analysis, Applied Machine Learning, Model Deployment, Machine Learning, Predictive Modeling, Machine Learning Algorithms
- Status: Preview
Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining
Skills you'll gain: Responsible AI, Data Ethics, Applied Machine Learning, Data Analysis, Artificial Intelligence, Machine Learning, Model Deployment
Skills you'll gain: Responsible AI, Data Analysis, Data Visualization Software, Model Evaluation, Artificial Intelligence, Machine Learning, Applied Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining
- Status: Preview
Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Model Deployment, Natural Language Processing
Status: Free TrialSkills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Applied Machine Learning, Amazon Elastic Compute Cloud, Amazon S3, Key Management
In summary, here are 10 of our most popular applied machine learning courses
- Encoder-Decoder Architecture - Español: Google Cloud
- Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
- Image Classification with Keras: Build & Optimize: EDUCBA
- Configuring MongoDB Atlas with BigQuery Dataflow Templates: Google Cloud
- Feature Engineering - Italiano: Google Cloud
- BigQuery ML を推論に使用する: Google Cloud
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
- Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
- Attention Mechanism - 한국어: Google Cloud
