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Results for "python for genomic data science"
- Status: Free Trial
Google Cloud
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API
Coursera Project Network
Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics
- Status: Free Trial
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
- Status: Preview
University of California, Davis
Skills you'll gain: SQL, Data Manipulation, Data Analysis, Business Analytics, Query Languages, Databases, Relational Databases, Data Management, Data Modeling, Data Integration
- Status: Free Trial
Duke University
Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Human Learning, Law, Regulation, and Compliance, Automation
- Status: Free
Coursera Project Network
Skills you'll gain: Software Documentation, Generative AI, Debugging, ChatGPT, Development Environment, Python Programming, Prompt Engineering, Computer Programming, Software Development, Application Development
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
- Status: Free Trial
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning
- Status: Free Trial
Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Regression Analysis, Performance Analysis, Deep Learning, Artificial Neural Networks
- Status: Preview
Johns Hopkins University
Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, File Management
- Status: Free Trial
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, User Interface (UI), Heat Maps, Data Visualization Software, Interactive Data Visualization, Real Time Data, Big Data, Geospatial Mapping, Data Manipulation, Data Transformation, Apache Spark, Spatial Data Analysis, Web Applications
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning
In summary, here are 10 of our most popular python for genomic data science courses
- Computer Vision Fundamentals with Google Cloud: Google Cloud
- Working with BigQuery: Coursera Project Network
- Explainable Machine Learning (XAI): Duke University
- SQL لعلوم البيانات: University of California, Davis
- Human Factors in AI: Duke University
- Software Development with ChatGPT: Generating Code with AI: Coursera Project Network
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Generative AI Language Modeling with Transformers: IBM
- Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
- The Unix Workbench: Johns Hopkins University