Results for "Machine learning for genomics"

Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Structures, Code Reusability, Jupyter, Python Programming, Programming Principles, Scripting, File I/O, Computational Logic, Computer Programming, Data Manipulation, Analysis

STARWEAVER
Skills you'll gain: Prompt Engineering, AI literacy, Data Storytelling, Analytics, Generative AI, Business Analytics, Large Language Modeling, Data Analysis, Data Presentation, Business Reporting, ChatGPT, Business Analysis, Cross-Functional Collaboration, Report Writing, Exploratory Data Analysis, Data Visualization, Data Management

Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation

Taipei Medical University
Skills you'll gain: Bioinformatics, Informatics, Model Training, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Technical Communication, Machine Learning Methods, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, AI Workflows, Random Forest Algorithm, Artificial Intelligence, Predictive Modeling, Molecular Biology, Natural Language Processing, Biology, Data Analysis

Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Cloud Deployment, Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
What brings you to Coursera today?

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, AI literacy, Debugging, Data Transformation, Generative AI, Prompt Patterns, Data Preprocessing, Analytics, AI Integrations, AI Workflows, Data Analysis, Data Cleansing, Excel Formulas, Data Manipulation, Code Review, Model Optimization, Data Analysis Software, SQL

Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Processing, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Prompt Engineering Tools, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, ChatGPT, AI literacy, Multimodal Prompts, Feature Engineering, AI powered creativity, LLM Application, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Responsible AI, Data Science, Machine Learning