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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages, Query Languages, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Machine Learning Implementation and Operations in AWS

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Disaster Recovery, Data Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Titanic Survival Prediction Using Machine Learning

      Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Analytics, Machine Learning Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Exploratory Data Analysis, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Exploratory Data Analysis, R Programming, Analytics, Business Analytics, Statistical Machine Learning, Applied Machine Learning, Predictive Modeling, Unsupervised Learning, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Analytics, Data Analysis, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Application Development, Artificial Intelligence, Google Cloud Platform, Machine Learning Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Deep Teaching Solutions

      Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]

      Skills you'll gain: Productivity, Learning Strategies, Collaboration, Time Management, Willingness To Learn, Problem Solving, Persistence, Cognitive flexibility, Stress Management, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Algoritmos de negociación basados en machine learning​

      Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Securities Trading, Applied Machine Learning, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning Algorithms, Machine Learning, Trend Analysis, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 5

      Skills you'll gain: Anomaly Detection, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Descriptive Statistics, Data Ethics, Probability & Statistics, Applied Machine Learning, Public Policies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to machine learning

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    1…252627…415

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

    • Tools for Data Science: IBM
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • Machine Learning Implementation and Operations in AWS: Whizlabs
    • Titanic Survival Prediction Using Machine Learning: Coursera Project Network
    • Fundamentals of Machine Learning for Supply Chain: LearnQuest
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network
    • Natural Language Processing: DeepLearning.AI
    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Introduction to Generative AI : Google Cloud
    • Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]: Deep Teaching Solutions

    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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