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Results for "fundamental concepts in machine learning"
Coursera Project Network
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Algorithms
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Data Analysis, Cloud Development, Applied Machine Learning, Predictive Modeling, Application Deployment, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms
Skills you'll gain: Jupyter, Data Modeling, Data Science, Application Deployment, Data-Driven Decision-Making, User Feedback, Data Mining, Data Cleansing, Business Research, Data Manipulation, Business Analysis, Data Processing, Predictive Modeling, Continuous Improvement Process
Michigan State University
Skills you'll gain: Design Elements And Principles, Peer Review, Graphic and Visual Design, Post-Production, Project Planning, Color Theory, Digital Design, Constructive Feedback, File Management, Adobe Creative Cloud, Creativity, Creative Design, Project Management, Storytelling, Content Creation, Aesthetics, Electronic Media, Editing, Liberal Arts, Writing
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
Skills you'll gain: Bash (Scripting Language), Linux Commands, Linux, File Management, Unix Commands, Command-Line Interface, IT Automation, Scripting, Operating Systems, Development Testing, OS Process Management, Unit Testing, Automation, Python Programming, Test Driven Development (TDD), Debugging, Development Environment
Skills you'll gain: ChatGPT, Generative AI, IBM Cloud, Software Development Tools, Image Analysis, Technical Communication, Natural Language Processing
- Status: Free
Universidade de São Paulo
Skills you'll gain: Debugging, Computational Thinking, Data Structures, Computer Programming, Integrated Development Environments, Computer Science, Python Programming, Software Development, Algorithms
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Big Data, Machine Learning, Jupyter, Natural Language Processing
Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, Browser Compatibility, User Centered Design, Cloud-Native Computing, React Redux, NoSQL, Git (Version Control System), GitHub, Webpack, Application Development, MongoDB, React.js, Agile Methodology, HTML and CSS, Front-End Web Development, JavaScript Frameworks, Development Environment, Version Control, Interviewing Skills
University of Glasgow
Skills you'll gain: Generative AI, OpenAI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics
University of California San Diego
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Data Analysis, Markov Model, Life Sciences, Infectious Diseases, Statistical Analysis, Medical Science and Research, Big Data, Computational Logic, Computer Programming Tools, Machine Learning, Machine Learning Methods, Computational Thinking, Graph Theory, Analysis, Taxonomy, Tree Maps, Scientific Methods
In summary, here are 10 of our most popular fundamental concepts in machine learning courses
- Logistic Regression with NumPy and Python: Coursera Project Network
- MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
- Data Science Methodology: IBM
- Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
- Probabilistic Graphical Models 3: Learning: Stanford University
- Using Python to Interact with the Operating System: Google
- Generative AI: Prompt Engineering Basics: IBM
- Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
- Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
- IBM Front-End Developer: IBM