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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


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    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Basics of Chatbots with Machine Learning & Python

    Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, DevOps, Application Lifecycle Management, Devops Tools, AI Workflows, Applied Machine Learning, Cloud Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

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    Board Infinity

    Apply AI & Machine Learning to Financial Forecasting

    Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Financial Modeling, Advanced Analytics, Decision Intelligence, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

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    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Markov Model, Simulations, Integral Calculus, Correlation Analysis, Control Systems, Probability, Simulation and Simulation Software, Probability & Statistics, Statistical Methods, Applied Mathematics, Probability Distribution, Predictive Analytics, Engineering Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    36 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Julia Programming for Data Science and Machine Learning

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Statistical Visualization, Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Other Programming Languages, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, C (Programming Language), Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Machine Learning Methods, Model Training, Unsupervised Learning, Machine Learning, Data Synthesis, Supervised Learning

    Mixed · Course · 1 - 3 Months

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

  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Basics of Chatbots with Machine Learning & Python: Packt
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Machine Learning with Small Data Part 2: Northeastern University
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
  • Apply AI & Machine Learning to Financial Forecasting: Board Infinity
  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Applied Kalman Filtering: University of Colorado System
  • Julia Programming for Data Science and Machine Learning: Packt

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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