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  • Advanced Machine Learning And Signal Processing

Results for "advanced machine learning and signal processing"


  • Status: Free Trial
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    M

    Microsoft

    Data Processing and Optimization with Generative AI

    Skills you'll gain: Data Ethics, Generative AI, Microsoft Copilot, Data Quality, Responsible AI, Generative Adversarial Networks (GANs), Data Preprocessing, Data Cleansing, Data Processing, Data Synthesis, Data Transformation, Feature Engineering, Data Validation, Information Privacy

    3.6
    Rating, 3.6 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, AI Workflows, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Processing and Feature Engineering with MATLAB

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Cloud Infrastructure, Big Data, Prompt Engineering, Machine Learning, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • P

    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

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

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

    3.9
    Rating, 3.9 out of 5 stars
    ·
    42 reviews

    Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, AI Workflows, Model Deployment, Big Data, Machine Learning, Prompt Engineering, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular advanced machine learning and signal processing courses

  • Data Processing and Optimization with Generative AI: Microsoft
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Data Processing and Feature Engineering with MATLAB: MathWorks
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud

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