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Results for "learning theory"


  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Theory

    Skills you'll gain: Application Specific Integrated Circuits, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Development, Cloud Deployment, Microarchitecture, Amazon Web Services, Hardware Architecture, Cloud Applications, Performance Tuning, Computer Architecture, Development Environment, Software Development Tools, Systems Design, System Design and Implementation, Memory Management, Programming Principles

    ★ 4.7 (77) · Intermediate · Course · 1 - 3 Months

  • N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Statistical Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Model Training, Machine Learning, Derivatives, Tensorflow

    ★ 3.7 (820) · Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis

    ★ 4.5 (3.3K) · Mixed · Course · 1 - 4 Weeks

  • S

    Skillshare

    Design Theory Principles for Print and Digital Applications

    Skills you'll gain: User Interface (UI), User Interface (UI) Design, Responsive Web Design, User Interface and User Experience (UI/UX) Design, User Experience Design, Digital Design, Web Design, Graphic and Visual Design, User Experience, Motion Graphics, Adobe XD, Interactive Design, No-Code Development, Graphic Design, Color Matching, Layout Design, Visual Design, Graphic and Visual Design Software, Design, Graphics Software

    ★ 5 (6) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Learning Languages with AI

    Skills you'll gain: Language Learning, Communication, Writing

    ★ 4.1 (10) · Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Machine Learning and Deep Learning for Software Engineers

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    ★ 4.8 (5.6K) · Mixed · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Logic & Set Theory

    Skills you'll gain: Computational Logic, Logical Reasoning, Theoretical Computer Science, Deductive Reasoning, Data Structures, Mathematics and Mathematical Modeling, Computer Science, Algorithms

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Text Mining, Machine Learning, Big Data, Model Evaluation, Algorithms

    ★ 4.7 (367) · Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms

    ★ 4.7 (3.7K) · Mixed · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks

    ★ 4.7 (207) · Advanced · Course · 1 - 3 Months

1…181920…834

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

  • Developing FPGA-accelerated cloud applications with SDAccel: Theory: Politecnico di Milano
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Practical Machine Learning: Johns Hopkins University
  • Design Theory Principles for Print and Digital Applications: Skillshare
  • Learning Languages with AI: University of Michigan
  • Machine Learning and Deep Learning for Software Engineers: Board Infinity
  • Advanced Machine Learning and Deep Learning: Packt
  • Machine Learning: Regression: University of Washington
  • Discrete Math for Computer Science - Logic & Set Theory: The Hong Kong University of Science and Technology
  • Unsupervised Machine Learning: IBM

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