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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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    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Cleansing, Supervised Learning, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    4
    Rating, 4 out of 5 stars
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    8 reviews

    Intermediate · Specialization · 3 - 6 Months

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    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Supervised Learning, Machine Learning, Decision Tree Learning, Deep Learning, Classification Algorithms, Model Evaluation, Artificial Neural Networks, Dimensionality Reduction, Embeddings, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Cloud Deployment, Data Strategy, Supervised Learning, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks

    4.2
    Rating, 4.2 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

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    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

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    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: Model Evaluation, AWS Kinesis, Model Deployment, AWS SageMaker, Machine Learning Algorithms, Data Collection, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Amazon Web Services, Machine Learning, Data Preprocessing, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
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    42 reviews

    Beginner · Specialization · 1 - 3 Months

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    Macquarie University

    Cyber Security: Applied Cryptography

    Skills you'll gain: Cryptography, Encryption, Data Security, Cybersecurity, Network Security, Public Key Infrastructure, Data Encryption Standard, Security Engineering, Blockchain, Data Storage Technologies, Wireless Networks, Security Management, Virtual Private Networks (VPN), Intellectual Property, Authentications, Hardware Architecture, Emerging Technologies

    Beginner · Course · 1 - 3 Months

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

  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • No-Code Machine Learning and Data Science for Everyone: LearnQuest

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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