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  • Introduction To Blockchain Evolution And Technology Concepts

Results for "introduction to blockchain: evolution and technology concepts"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Health Information Technology Fundamentals

    Skills you'll gain: Electronic Medical Record, Clinical Informatics, Health Technology, Health Information Management, Clinical Documentation, Decision Support Systems, Practice Management Software, Technical Support, End User Training and Support, Patient Registration, Databases, Change Control, Interoperability, Authentications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    427 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    465 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Code Coverage, Software Quality Assurance, Functional Testing, Testability, Integration Testing, Test Data, Issue Tracking

    4.4
    Rating, 4.4 out of 5 stars
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    808 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

    4.8
    Rating, 4.8 out of 5 stars
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    3.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    A

    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Large Language Modeling, LLM Application, Open Source Technology, Responsible AI, Artificial Intelligence, Natural Language Processing, Artificial Neural Networks, Computer Architecture, Information Privacy, Application Programming Interface (API)

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    743 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Analytics, Artificial Intelligence, Data Analysis Software, Data-Driven Decision-Making, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, Advanced Analytics, Responsible AI, Emerging Technologies, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular introduction to blockchain: evolution and technology concepts courses

  • Health Information Technology Fundamentals: Johns Hopkins University
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Introduction to Machine Learning: Duke University
  • Introduction to Software Testing: University of Minnesota
  • Introduction to Calculus: The University of Sydney
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Introduction to Mathematical Thinking: Stanford University
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • IBM Introduction to Machine Learning: IBM

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