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  • Optics Algorithm Coding

Results for "optics algorithm coding"


  • F

    Fractal Analytics

    Fractal Data Science

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Model Evaluation, Feature Engineering, Model Deployment, Interactive Data Visualization, Data Wrangling, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Machine Learning, Problem Solving, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    543 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    869 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    754 reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Parallel, Concurrent, and Distributed Programming in Java

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    800 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Writing, Running, and Fixing Code in C

    Skills you'll gain: Debugging, Software Testing, Program Development, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    827 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Cryptocurrency and Blockchain: An Introduction to Digital Currencies

    Skills you'll gain: Blockchain, Cryptography, Digital Assets, Investments, Portfolio Management, FinTech, Portfolio Risk, Asset Management, Financial Analysis, Financial Market, Emerging Technologies, Finance, Payment Systems, Encryption, Risk Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Other Programming Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

1…565758…249

In summary, here are 10 of our most popular optics algorithm coding courses

  • Fractal Data Science: Fractal Analytics
  • Combinatorics and Probability: University of California San Diego
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Parallel, Concurrent, and Distributed Programming in Java: Rice University
  • AI for Medical Prognosis : DeepLearning.AI
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Writing, Running, and Fixing Code in C: Duke University
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Practical Machine Learning: Johns Hopkins University

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