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  • Machine Learning Foundations

Results for "machine learning foundations"


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    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
    ·
    129 reviews

    Intermediate · Specialization · 3 - 6 Months

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    S

    SAS

    Machine Learning Rock Star – the End-to-End Practice

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Reporting, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Data Science, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    189 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
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    W

    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

    4.1
    Rating, 4.1 out of 5 stars
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    7 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Information Systems Security Assessment Framework (ISSAF), Computer Security, Security Strategy, Cyber Risk, Security Information and Event Management (SIEM), Data Ethics, Network Analysis, Personally Identifiable Information, Ethical Standards And Conduct

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    39K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Image Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · 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, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Pipelines, Data Strategy, Supervised Learning, Machine Learning Algorithms, Deep Learning, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Embeddings

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 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: New
    New
    Status: Free Trial
    Free Trial
    P

    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

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 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
    ·
    41 reviews

    Beginner · Specialization · 1 - 3 Months

  • M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Mixed · Course

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

  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Machine Learning Rock Star – the End-to-End Practice: SAS
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Foundations of Cybersecurity: Google
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud

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