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    688 Ergebnisse für „deep learning“

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      LearnQuest

      Machine Learning Models in Science

      Kompetenzen, die Sie erwerben: Machine Learning, Probability & Statistics, Machine Learning Algorithms, Artificial Neural Networks, Dimensionality Reduction, Mathematics, Econometrics, Python Programming

      3.8

      (10 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Kompetenzen, die Sie erwerben: Machine Learning, Machine Learning Algorithms, Accounting, Big Data, Business Analysis, Data Analysis, Data Management, Exploratory Data Analysis, Financial Analysis, Plot (Graphics), Regression, Data Science

      4.9

      (56 Bewertungen)

      Beginner · Course · 1-4 Weeks

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      SAS

      Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership

      Kompetenzen, die Sie erwerben: Machine Learning, Applied Machine Learning, Big Data, Business Analysis, Data Analysis, Data Management, General Statistics, Probability & Statistics, Statistical Analysis, Strategy and Operations, Data Science

      4.8

      (69 Bewertungen)

      Beginner · Course · 1-4 Weeks

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      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Kompetenzen, die Sie erwerben: R Programming, Statistical Programming

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Malaria parasite detection using ensemble learning in Keras

      Kompetenzen, die Sie erwerben: Machine Learning, Python Programming

      4.2

      (6 Bewertungen)

      Intermediate · Guided Project · Less Than 2 Hours

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      Imperial College London

      Master of Science in Machine Learning and Data Science

      Erwerben Sie ein Zertifikat

      Degree · 1-4 Years

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      Deep Teaching Solutions

      Uncommon Sense Teaching

      Kompetenzen, die Sie erwerben: Business Psychology, Entrepreneurship, Human Learning, Human Resources, Leadership and Management, People Development, Applied Machine Learning, Leadership Development, Machine Learning, Project Management, Strategy and Operations, Algebra, Creativity, Mathematics, Research and Design

      4.9

      (522 Bewertungen)

      Beginner · Specialization · 1-3 Months

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      EDHEC Business School

      Introduction to Portfolio Construction and Analysis with Python

      Kompetenzen, die Sie erwerben: Computer Programming, Finance, Investment Management, Python Programming, Statistical Programming, Risk Management, Accounting, Business Analysis, Data Analysis, Financial Analysis, Statistical Analysis

      4.8

      (1.3k Bewertungen)

      Mixed · Course · 1-4 Weeks

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      Kostenlos

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      University of Michigan

      Model Thinking

      Kompetenzen, die Sie erwerben: Basic Descriptive Statistics, Econometrics, Game Theory, General Statistics, Statistical Machine Learning, Advertising, Business Analysis, Communication, Critical Thinking, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Machine Learning, Market Research, Marketing, Markov Model, Probability & Statistics, Problem Solving, Product Management, Product Marketing, Research and Design, Sales, Strategy, Strategy and Operations

      4.8

      (2.2k Bewertungen)

      Mixed · Course · 1-3 Months

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      Duke University

      Cloud Computing Foundations

      Kompetenzen, die Sie erwerben: Cloud Computing, DevOps, Continuous Delivery, Amazon Web Services, Business Analysis, Cloud Platforms, Cloud-Based Integration, Continuous Integration, Critical Thinking, Project Management, Research and Design, Software As A Service, Strategy and Operations

      4.6

      (173 Bewertungen)

      Beginner · Course · 1-3 Months

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      Kostenlos

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      Rutgers the State University of New Jersey

      New Technologies for Business Leaders

      Kompetenzen, die Sie erwerben: Change Management, Leadership and Management, Strategy and Operations, Business Analysis, Business Transformation, Entrepreneurship, Innovation, Research and Design, Digital Marketing, Marketing, Professional Development, Applied Machine Learning, Artificial Neural Networks, Big Data, BlockChain, Data Management, FinTech, Finance, Internet Of Things, Machine Learning, Computer Architecture, Computer Graphics, Computer Networking, Computer Vision, Human Computer Interaction, Interactive Design, Network Architecture, Sales, Software Engineering, Strategy, User Experience, Virtual Reality

      4.4

      (354 Bewertungen)

      Intermediate · Course · 1-3 Months

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      Kostenlos

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      University of Virginia

      The Economics of AI

      Kompetenzen, die Sie erwerben: Computational Logic, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      Advanced · Course · 1-3 Months

    Suchanfragen mit Bezug zu deep learning

    deep learning specialization
    deep learning andrew ng
    deep learning with pytorch : image segmentation
    deep learning for healthcare
    deep learning for business
    deep learning with pytorch : siamese network
    deep learning with pytorch : generative adversarial network
    deep learning applications for computer vision
    1…363738…58

    Zusammenfassend sind hier 10 unserer beliebtesten deep learning Kurse

    • Machine Learning Models in Science: LearnQuest
    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS
    • Machine Learning e Data Mining in R: Università di Napoli Federico II
    • Malaria parasite detection using ensemble learning in Keras: Coursera Project Network
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Uncommon Sense Teaching: Deep Teaching Solutions
    • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
    • Model Thinking: University of Michigan
    • Cloud Computing Foundations: Duke University

    Fähigkeiten, die Sie bei Machine Learning erlernen können

    Python-Programmierung (33)
    TensorFlow (32)
    Deep Learning (30)
    Künstliches Neuronales Netz (24)
    Big Data (18)
    Statistische Klassifikation (17)
    Verstärkungslernen (13)
    Algebra (10)
    Bayes (10)
    Lineare Algebra (10)
    Lineare Regression (9)
    Numpy (9)

    Häufig gestellte Fragen zum Thema Deep Learning

    • Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights.

      While this field of computer science is quite new, it is already being used in a growing range of important applications. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands.

      Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. These programming languages are generally preferred for teaching and learning in this field due to their flexibility and relative accessibility - an important priority given the relevance of deep learning to a wide range of professionals without a computer science background.‎

    • A familiarity with the capabilities and development process for deep learning applications can be an asset in a growing number of careers. For example, the use of deep learning is being explored in healthcare for automatic reading of radiology images, as well as searching for patterns in genes and pharmaceutical interactions that can aid in the discovery of new types of medicines. In many fields, even a basic understanding of deep learning can help professionals identify new potential applications of this powerful technology.

      Those with a deeper expertise in deep learning may become computer research scientists in this field, responsible for inventing new algorithms and finding new applications for these techniques. Given the wide range of uses for deep learning, computer scientists in this field are in high demand for jobs at private companies as well as government agencies and research universities. According to the Bureau of Labor Statistics, computer research scientists earned a median annual salary of $122,840 as of 2019, and these jobs are expected to grow much faster than average.‎

    • Certainly - in fact, Coursera is one of the best places to learn about deep learning. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence.‎

    • The skills or experience you may need to have before studying deep learning, and which can help you better understand an advanced concept such as deep learning, can include sign language reading, music generation, and natural language processing (NLP), in addition to many others. If you have knowledge of Python 3 and understand the basic concepts of general machine-learning algorithms and deep learning, you may have the necessary skills to learn this specialization. You may also want to know about probability and statistics to study deep learning concepts. Basic math, such as algebra and calculus, is also an important prerequisite to deep learning because it relates to machine learning and data science. Also, if you have worked in the tech or artificial intelligence (AI) fields, you may have the necessary experience to study deep learning.‎

    • The type of person who is best suited to study deep learning is someone comfortable working with statistics, programming, advanced calculus, advanced algebra, and engineering. Deep learning benefits someone passionate about working in the AI fields which can create types of deep learning networks that help machines perform human functions. A person best suited to learn about deep learning has a vested interest in understanding how the intelligence is built to run everything from driverless cars, mobile devices, stock trading systems, and robotic surgery equipment, for example. Deep learning benefits someone with a goal of working with systems such as computer vision, speech recognition, NLP, audio recognition bioinformatics systems, and medical image analysis.‎

    • Deep learning may be right for you if you want to break into AI. The specialization may benefit you if you are a machine learning researcher or practitioner who is seeking to learn the next generation of machine learning, and you want to develop practical skills in the popular deep learning framework TensorFlow. Deep learning is one of the most highly sought-after skills in tech, and mastering it may lead you to many opportunities in the field of AI. It may also benefit you if you want to learn how to build neural networks and how to lead successful machine learning projects, and if you have a passion for learning about convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and how to master concepts in Python and TensorFlow.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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