Why is it important to learn 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.

What career opportunities can arise from learning applied machine learning?

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.

How can online courses on Coursera help me learn applied machine learning?

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.

What are the benefits of taking an online Applied Machine Learning course?

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.

What Applied Machine Learning courses are best for training and upskilling employees or the workforce?

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 .

Top Applied Machine Learning Courses - Learn Applied Machine Learning Online

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IBM

Introduction to Neural Networks and PyTorch

Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

Status: Free Trial

University of Michigan

Foundational Finance for Strategic Decision Making

Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Modeling, Financial Management, Business Mathematics, Financial Planning, Cash Flows

Status: Free Trial

University of California, Irvine

Adjectives and Adjective Clauses

Skills you'll gain: Grammar, Vocabulary, English Language, Oral Comprehension

Status: Free Trial

University of California, Santa Cruz

Bayesian Statistics: From Concept to Data Analysis

Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

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

Peking University

Chinese Characters for beginner 汉字

Skills you'll gain: Language Learning, Vocabulary, Literacy, Oral Comprehension, Language Interpretation, Translation, and Studies

Status: Free Trial

Duke University

MLOps Platforms: Amazon SageMaker and Azure ML

Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

Status: Free Trial

Duke University

Decentralized Finance (DeFi): The Future of Finance

Skills you'll gain: Blockchain, Loans, Lending and Underwriting, FinTech, Cyber Risk, Operational Risk, Scalability, Security Testing, Regulatory Compliance, Interoperability, Commercial Lending, Payment Systems, General Lending, Risk Management, Derivatives, Key Management, Cryptography, Emerging Technologies, Cryptographic Protocols, Financial Regulations

Universidad Nacional Autónoma de México

Aprender

Skills you'll gain: Learning Strategies, Human Learning, Learning Theory, Quick Learning, Self-Motivation, Lifelong Learning, Literacy, Mental Concentration, Willingness To Learn, Cognitive flexibility, Critical Thinking, Productivity, Personal Development, Self-Awareness, Growth Mindedness, Goal Setting

Status: Free Trial

University of Pennsylvania

Introduction to Python Programming

Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management

Status: Free Trial

University of Alberta

Introduction to Software Product Management

Skills you'll gain: Agile Software Development, Software Development, Product Requirements, Requirements Management, Product Management, Software Engineering, Project Planning, Process Development, Project Management

Status: Free Trial

University of California San Diego

Object Oriented Programming in Java

Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), User Interface (UI), Computer Programming, Algorithms, Software Engineering, Data Structures, Software Documentation, Debugging

Applied Machine Learning Courses Online

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Explore the Applied Machine Learning Course Catalog

Introduction to Neural Networks and PyTorch