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  • Formal Learning

Results for "formal learning"


  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI in Education: Adaptive Learning & Personalized Pathways

    Skills you'll gain: AI Personalization, Education Software and Technology, Driving engagement, Responsible AI, Learning Management Systems, Data-Driven Decision-Making, Prompt Engineering, Analytics, Data Ethics, Artificial Intelligence, Generative AI, Quality Assurance, Data Analysis, Analytical Skills

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Integrations, Random Forest Algorithm, Diagnostic Tests, Clinical Experience, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    Lund University

    A student's guide to GenAI and learning

    Skills you'll gain: Prompt Engineering, AI literacy, Brainstorming, Personal Integrity, AI Integrations, Ethical Standards And Conduct, Digital pedagogy, Learning Strategies

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning for Kyphosis Disease Classification

    Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Wrangling, Data Preprocessing, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…303132…760

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

  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • AI in Education: Adaptive Learning & Personalized Pathways: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Interpretable machine learning applications: Part 3: Coursera
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • A student's guide to GenAI and learning: Lund University
  • Mastering Machine Learning Algorithms using Python: Packt

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