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  • Applied Machine Learning

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


  • A

    Alex Genadinik

    Customer Service With ChatGPT And By Creating A Custom GPT

    Skills you'll gain: ChatGPT, Customer Service, Self Service Technologies, AI Enablement, Customer Support, AI Personalization, Prompt Engineering, Customer experience improvement, Employee Training, Technology Strategies, Standard Operating Procedure

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Planning, HUDs, and Spawners in GameMaker

    Skills you'll gain: Video Game Development, Game Design, Unity Engine, Unreal Engine, Programming Principles, User Interface (UI), Animations, Debugging

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    生成 AI: 基本概念の理解

    Skills you'll gain: AI Security, Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Unstructured Data, Artificial Intelligence, Data Quality, Data Access, Deep Learning, Machine Learning, Business Solutions

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Field Sales Agents: Local Market Insights

    Skills you'll gain: Sales Territory Management, Sales Strategy, Customer Engagement, Sales Process, Lead Generation, Sales, Market Intelligence, Sales Enablement, Sales Training, Real Time Data, Personalized Service, AI Enablement, Market Analysis, Ethical Standards And Conduct, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Cómo utilizar BigQuery ML para ejecutar inferencias

    Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL

    Beginner · Course · 1 - 4 Weeks

  • F

    Fred Hutchinson Cancer Center

    Data Management and Sharing for NIH Proposals

    Skills you'll gain: Grant Writing, Data Sharing, Grant Applications, Data Storage, Data Management, Health Policy, Technical Writing, Health Care Procedure and Regulation

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Alberta

    캡스톤 : 소프트웨어 제품 관리 실전 프로젝트

    Skills you'll gain: Sprint Planning, Agile Software Development, Product Demonstration, Agile Methodology, Requirements Analysis, Agile Project Management, Risk Management, Agile Product Development, Virtual Environment, Product Requirements, Product Management, Backlogs, Customer Communications Management, Customer Service, Presentations, User Story, Team Management, Prioritization

    Mixed · Course · 1 - 3 Months

  • A

    AI CERTs

    Responsible AI Principles

    Skills you'll gain: Responsible AI, AI Security, Data Ethics, Governance, Data Governance, Law, Regulation, and Compliance, Ethical Standards And Conduct, Compliance Training, Artificial Intelligence, Business Ethics, Compliance Management, Accountability, Regulatory Requirements, Governance Risk Management and Compliance, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Stakeholder Engagement

    Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Java EE Essentials: Best Practices for Enterprise Solutions

    Skills you'll gain: Java Platform Enterprise Edition (J2EE), Software Design Patterns, Java, Enterprise Architecture, Secure Coding, Application Servers, Software Design, Model View Controller, Software Architecture, Application Security, Maintainability, Programming Principles, Authorization (Computing), Authentications, Debugging, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Data Visualization in Stata

    Skills you'll gain: Statistical Visualization, Data Visualization Software, Data Visualization, Scatter Plots, Plot (Graphics), Box Plots, Exploratory Data Analysis, Histogram, Descriptive Statistics, Heat Maps, Graphing

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Data Management for Analytics Part 1

    Skills you'll gain: Database Design, Database Theory, Data Modeling, Database Management Systems, Metadata Management, Databases, Data Management, Relational Databases, Unified Modeling Language, Data Governance, Enterprise Modeling, Data Integrity, Data Quality

    Build toward a degree

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular applied machine learning courses

  • Customer Service With ChatGPT And By Creating A Custom GPT: Alex Genadinik
  • Planning, HUDs, and Spawners in GameMaker: University of Colorado System
  • 生成 AI: 基本概念の理解: Google Cloud
  • GenAI for Field Sales Agents: Local Market Insights: Coursera
  • Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
  • Data Management and Sharing for NIH Proposals: Fred Hutchinson Cancer Center
  • 캡스톤 : 소프트웨어 제품 관리 실전 프로젝트: University of Alberta
  • Responsible AI Principles: AI CERTs
  • Java EE Essentials: Best Practices for Enterprise Solutions: Board Infinity
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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