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: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Skills you'll gain: Azure Synapse Analytics, Data Migration, Microsoft Azure, Data Warehousing, SQL Server Integration Services (SSIS), Microsoft SQL Servers, Cloud Security, Performance Tuning, System Configuration, Cloud Storage, Cloud Computing Architecture, Data Security, Apache Spark, Data Integration
Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning
Skills you'll gain: Object Oriented Programming (OOP), Application Development, Development Environment, User Interface (UI), Python Programming, Integrated Development Environments, User Interface (UI) Design
Skills you'll gain: Canva (Software), Logo Design, Graphic and Visual Design, Animations, Branding, Marketing Design, Social Media Content, Style Guides, Scheduling, Typography
Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
Skills you'll gain: Ansible, IT Automation, Automation, Linux Servers, Infrastructure as Code (IaC), Windows Servers, Command-Line Interface, YAML, Configuration Management
Skills you'll gain: 3D Modeling, 3D Assets, Computer Graphics, Virtual Reality, Animation and Game Design
Google Cloud
Skills you'll gain: Data Analysis, Big Data, Analytics, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning
Google Cloud
Skills you'll gain: Cloud Management, IT Automation, Virtual Machines, Cloud Infrastructure, Google Cloud Platform, Serverless Computing, TCP/IP
Skills you'll gain: Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, User Interface (UI), Application Development, Python Programming, Application Design, Data Science, Application Deployment, User Interface (UI) Design
Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Exploratory Data Analysis and Visualization: Microsoft
- Azure SQL Data Warehouse Synapse Analytics Service: Packt
- 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
- Project on PyQt - Creating a Calculator: EDUCBA
- Design Better and Build Your Brand with Canva: Packt
- Data Science Fundamentals Part 1: Unit 2: Pearson
- Ansible From Basics to Guru: Unit 1: Pearson
- Advanced Blender Techniques for Realistic Vegetation: Packt
- BigQuery 머신러닝을 사용한 추론: Google Cloud
- Clean Up Unused IP Addresses: Google Cloud
