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Results for "learning styles"


  • 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, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Histogram, Predictive Modeling, Data Visualization, Predictive Analytics, Data Preprocessing, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Economics, Policy, and Social Studies, Development Environment, Software Engineering

    ★ 4.6 (33) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Investments, Portfolio Risk, Machine Learning Methods, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Model Evaluation, Predictive Analytics, Market Data, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Analysis, Computer Science

    ★ 3.1 (332) · Intermediate · Course · 1 - 3 Months

  • 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

  • U

    University of Glasgow

    Explainable Deep Learning Models for Healthcare

    Skills you'll gain: Autoencoders, Feature Engineering, Deep Learning, Machine Learning Methods, Model Training, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Applied Machine Learning, Predictive Modeling, Responsible AI, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks, Visualization (Computer Graphics)

    ★ 4.6 (15) · 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 (13) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    ★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    ★ 3.6 (25) · Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Text Mining, Statistical Analysis, Matlab, Statistical Methods, Data Visualization, Visualization (Computer Graphics), Descriptive Statistics, Unstructured Data, Data Analysis, Statistical Software, Computer Programming, Mathematical Software, Applied Machine Learning, Data Transformation, Data Preprocessing, Data Manipulation, Analytics, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

1…343536…811

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

  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Interpretable machine learning applications: Part 5: Coursera
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Python and Machine Learning for Asset Management : EDHEC Business School
  • Mastering Machine Learning Algorithms using Python: Packt
  • Explainable Deep Learning Models for Healthcare: University of Glasgow
  • Machine Learning for Kyphosis Disease Classification: Coursera
  • Machine Learning with PySpark: Recommender System: Coursera
  • Deep Learning with Real-World Projects: Packt
  • Introduction to Machine Learning with Python: Arizona State University

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