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    Results for "machine learning"

    • T

      The University of Sydney

      Cultural Competence - Aboriginal Sydney

      Skills you'll gain: Intercultural Competence, Cultural Sensitivity, Social Justice, Cultural Diversity, Diversity Awareness, Culture, Community Development, Public History, Storytelling, Anthropology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      280 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Leadership Out of the Box

      Skills you'll gain: Stakeholder Management, Stakeholder Engagement, Delegation Skills, Team Leadership, Change Management, Team Performance Management, Professional Networking, Leadership Development, Organizational Change, Leadership, Matrix Management, People Management, Team Building, Time Management, Executive Presence, Organizational Leadership, Leadership and Management, Virtual Teams, Influencing, Organizational Structure

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Aprendizaje Activo STEM con Simulaciones Interactivas PhET

      Skills you'll gain: Education Software and Technology, Mathematics Education, Simulations, Web Content Accessibility Guidelines, Interactive Design, Experimentation, User Feedback, Human Computer Interaction, Research, Scientific Visualization, Chemistry, Physics, Biology, Algebra, Geometry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      693 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Applied Python Data Engineering

      Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Kubernetes, Matplotlib, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Devops Tools, Apache Hadoop

      3.8
      Rating, 3.8 out of 5 stars
      ·
      96 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Introduction to Network Automation

      Skills you'll gain: Software-Defined Networking, Network Engineering, Network Architecture, Scripting, Application Programming Interface (API), Data Modeling, General Networking, Automation, Network Infrastructure, Linux Commands, Python Programming, Network Protocols, Command-Line Interface

      4.7
      Rating, 4.7 out of 5 stars
      ·
      73 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New Teacher Center

      Blended Learning: Personalizing Education for Students

      Skills you'll gain: Education Software and Technology, Instructional Design, Technology Strategies, Student Support and Services, Learning Strategies, Collaboration, Innovation, Data Integration, Adaptability, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      260 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      GPT Vision: Seeing the World through Generative AI

      Skills you'll gain: ChatGPT, Generative AI, Data Synthesis, Image Analysis, Data Capture, OpenAI, Data Analysis, Organizational Skills, Computer Vision, Data Storytelling, Artificial Intelligence, Prompt Engineering, Problem Solving, Automation, Cooking, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      Causal Inference

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Estimation, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation, Decision Making

      3.4
      Rating, 3.4 out of 5 stars
      ·
      99 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Statistical Business Analyst

      Skills you'll gain: SAS (Software), Predictive Modeling, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Big Data, Plot (Graphics), Data Analysis, Data Literacy, Data Analysis Software, Advanced Analytics, Statistical Machine Learning, Feature Engineering, Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      221 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      335 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: SciFi Writing with Dall-e

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Artificial Intelligence, Storytelling, Storyboarding, Writing, Ideation, Creativity, Editing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      428 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to machine learning

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    1…109110111…418

    In summary, here are 10 of our most popular machine learning courses

    • Cultural Competence - Aboriginal Sydney: The University of Sydney
    • Leadership Out of the Box: Queen Mary University of London
    • Aprendizaje Activo STEM con Simulaciones Interactivas PhET: University of Colorado Boulder
    • Applied Python Data Engineering: Duke University
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes
    • Introduction to Network Automation: Cisco Learning and Certifications
    • Blended Learning: Personalizing Education for Students: New Teacher Center
    • GPT Vision: Seeing the World through Generative AI: Vanderbilt University
    • Causal Inference: Columbia University
    • SAS Statistical Business Analyst: SAS

    Frequently Asked Questions about Machine Learning

    Machine learning courses on Coursera cover a range of essential skills including:

    • Supervised learning and unsupervised learning methodologies
    • Neural networks and deep learning architectures
    • Algorithmic foundations such as regression, classification, and clustering
    • Data preprocessing, feature engineering, and data augmentation techniques
    • Model evaluation and optimization methods
    • Practical applications of machine learning in various industries
    • Implementation of machine learning algorithms using Python and libraries like TensorFlow and PyTorch‎

    No prior programming experience is required to begin beginner machine learning courses, but having some foundational knowledge in programming (especially Python) can be very beneficial. The curriculum is structured to accommodate learners at all levels:

    • Beginners can start with introductory courses that cover basic programming and data handling.
    • Intermediate learners can advance to applying machine learning algorithms on real data.
    • Advanced professionals can explore specialized areas such as deep learning, reinforcement learning, or natural language processing.‎

    Machine learning courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate a more comprehensive understanding of machine learning concepts and techniques.
    • Specialized course certificates in areas such as artificial intelligence, data science, or specific technologies like TensorFlow.
    • Certifications from leading tech companies and universities that can help enhance your professional credibility and career prospects.‎

    Skills in machine learning can open doors to numerous high-demand roles in technology and research, including:

    • Machine Learning Engineer
    • Data Scientist
    • AI Research Scientist
    • Robotics Engineer
    • Quantitative Analyst in finance
    • Software Developer specializing in AI
    • Professionals in these roles utilize machine learning techniques to create innovative solutions, improve data-driven decision-making, and push the boundaries of artificial intelligence.

    Discover which machine learning role suits you best by taking our career quiz!‎

    Yes, Coursera offers a variety of free courses across many topics, including machine learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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