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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      The Growth Mindset

      Skills you'll gain: Growth Mindedness, Lifelong Learning, Positivity, Overcoming Obstacles, Professional Development, Organizational Change, Employee Engagement, Constructive Feedback, Adaptability, Resilience, Personal Development, Leadership Development, Self-Awareness, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Organisational design: Know your organisation

      Skills you'll gain: Human Resource Strategy, Organizational Strategy, Organizational Structure, Organizational Effectiveness, Workforce Planning, Organizational Change, Risk Management, Business Strategy, Key Performance Indicators (KPIs), Report Writing, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Mental Health and Resilience for Healthcare Workers

      Skills you'll gain: Resilience, Mental Health, Stress Management, Emotional Intelligence, Mindfulness, Health Care, Crisis Intervention, Behavioral Health, Positive Behavior Support, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      477 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      ChatGPT for Beginners: Save time with Microsoft Excel

      Skills you'll gain: Microsoft Excel, ChatGPT, Excel Formulas, Text Mining, Data Cleansing, Data Manipulation, Data Analysis Software, Unstructured Data, Generative AI, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Networking and Cloud Computing

      Skills you'll gain: Network Security, Cloud Computing, Network Infrastructure, Microsoft Azure, Cloud Services, Firewall, Computer Networking, Virtualization and Virtual Machines, Digital Transformation, Networking Hardware, Cybersecurity, Network Protocols, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Tokyo

      Let’s Read! Learning Japanese through Science & Technology-1

      Skills you'll gain: Oral Comprehension, Vocabulary, Language Competency, Grammar, Literacy, Engineering, Scientific, and Technical Instruments, Language Learning, General Science and Research, Research, Science and Research, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      803 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Deep Teaching Solutions

      Uncommon Sense Teaching

      Skills you'll gain: Instructional Strategies, Teaching, Learning Strategies, Learning Theory, Differentiated Instruction, Student Engagement, Human Learning, Time Management, Mental Concentration, Student-Centred Learning, Neurology, Adaptability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      618 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Negotiation skills: Negotiate and resolve conflict

      Skills you'll gain: Conflict Management, Negotiation, Intercultural Competence, Stakeholder Management, Leadership, Leadership and Management, Organizational Leadership, Emotional Intelligence, Cultural Diversity, Self-Awareness, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      773 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Inferential Statistical Analysis with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Jupyter, Python Programming, Matplotlib, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      918 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors

      Skills you'll gain: Mental and Behavioral Health Specialties, Mental Health Diseases and Disorders, Clinical Psychology, Mental and Behavioral Health, Mental Health Therapies, Psychiatry, Psychological Evaluations, Mental Health, Psychotherapy, Behavioral Health, Cultural Diversity, Epidemiology, Psychiatric And Mental Health Nursing, Pharmacology, Neurology, Demography, Psychology, Pharmacotherapy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • The Growth Mindset: University of California, Davis
    • Organisational design: Know your organisation: Macquarie University
    • Mental Health and Resilience for Healthcare Workers: University of Toronto
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera Project Network
    • Introduction to Networking and Cloud Computing: Microsoft
    • Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo
    • Artificial Intelligence on Microsoft Azure: Microsoft
    • Uncommon Sense Teaching: Deep Teaching Solutions
    • Negotiation skills: Negotiate and resolve conflict: Macquarie University

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Applied Machine Learning

    It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

    Online Applied Machine Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Machine Learning skills. With a wide range of Applied Machine Learning classes, you can conveniently learn at your own pace to advance your Applied Machine Learning career skills.‎

    When looking to enhance your workforce's skills in Applied Machine Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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