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  • Bioinformatics Algorithms

Results for "bioinformatics algorithms"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    654 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Theoretical Computer Science, Programming Principles, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala (Scala 2 version)

    Skills you'll gain: Scala Programming, Programming Principles, Data Structures, Functional Design, Object Oriented Programming (OOP), Algorithms, Integrated Development Environments

    4.8
    Rating, 4.8 out of 5 stars
    ·
    65 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, ChatGPT, OpenAI, Large Language Modeling, OpenAI API, Hugging Face, Microsoft Copilot, Responsible AI, Python Programming, Machine Learning, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    189 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Vector Search and Embeddings

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Semantic Web, Generative AI, Large Language Modeling, Natural Language Processing, Google Cloud Platform, Algorithms

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Digital Marketing Tools: Machine Learning and AI

    Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Customer Insights, Advanced Analytics, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.9
    Rating, 3.9 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
    ·
    102 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time:Sequential Hypothesis Testing

    Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging

    Intermediate · Course · 1 - 3 Months

1…646566…156

In summary, here are 10 of our most popular bioinformatics algorithms courses

  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Functional Programming Principles in Scala (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Introduction to Generative AI: Duke University
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Vector Search and Embeddings: Google Cloud
  • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Data Modeling, Transformation, and Serving: DeepLearning.AI

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