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    • Deep Learning

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    701 results for "deep learning"

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      University of Colorado System

      Clinical Data Models and Data Quality Assessments

      Skills you'll gain: Data Analysis, Data Management, Data Model, Databases, Extract, Transform, Load, Clinical Data Management, Communication, Marketing

      4.2

      (55 reviews)

      Intermediate · Course · 1-3 Months

    • Free

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      Universiteit Leiden

      International Humanitarian Law in Theory and Practice

      4.8

      (1.5k reviews)

      Beginner · Course · 1-3 Months

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      University of Pennsylvania

      Omnichannel Retail Strategy

      Skills you'll gain: Leadership and Management, Entrepreneurship, Strategy and Operations, Sales, Marketing, Strategy, Supply Chain and Logistics, Business Psychology, Human Resources, People Development, Brand Management, E-Commerce, Retail Sales, Supply Chain Systems, Talent Management, Business Analysis, Customer Success, Data Analysis, People Management, Performance Management, Retail Store Operations, Compensation, Corporate Accouting

      4.8

      (232 reviews)

      Beginner · Specialization · 1-3 Months

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      University of Colorado Boulder

      Successful Presentation

      Skills you'll gain: Communication, Leadership and Management, Writing, Business Communication, Professional Development, Emotional Intelligence, Business Psychology, Collaboration, Entrepreneurship, Human Resources, People Development, Storytelling

      4.8

      (4.3k reviews)

      Beginner · Course · 1-4 Weeks

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      University of California San Diego

      A New Communication Framework for Healthcare

      Skills you'll gain: Communication

      Beginner · Course · 1-3 Months

    • Free

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      Sapienza University of Rome

      Recovering the Humankind's Past and Saving the Universal Heritage

      Skills you'll gain: Business Psychology, Culture, Leadership and Management, Data Visualization, Accounting, Accounting Software, Business Analysis, Data Analysis, Data Visualization Software, Interactive Data Visualization, Scientific Visualization

      4.4

      (255 reviews)

      Mixed · Course · 1-3 Months

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      University of California, Davis

      The Growth Mindset

      Skills you'll gain: Leadership and Management, Business Psychology, Entrepreneurship, Human Resources, Adaptability, Change Management, Communication, Leadership Development, People Development, Strategy and Operations

      4.8

      (448 reviews)

      Beginner · Course · 1-4 Weeks

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      University of California, Davis

      Exploiting and Securing Vulnerabilities in Java Applications

      Skills you'll gain: Security Engineering, Software Security, Communication, Java Programming

      4.4

      (57 reviews)

      Intermediate · Course · 1-4 Weeks

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      Technische Universität München (TUM)

      Basics of Cost Accounting: Product Costing

      Skills you'll gain: Accounting, Cost Accounting, Taxes, Business Analysis, Data Analysis, Data Analysis Software, Microsoft Excel, Project Management, Spreadsheet Software, Strategy and Operations, Communication

      4.8

      (57 reviews)

      Beginner · Course · 1-4 Weeks

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      The Hong Kong University of Science and Technology

      Vector Calculus for Engineers

      Skills you'll gain: Calculus, Linear Algebra, Mathematics, Differential Equations

      4.8

      (1.3k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      University of Virginia

      The Economics of AI

      Skills you'll gain: Computational Logic, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      Advanced · Course · 1-3 Months

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      The Museum of Modern Art

      Reimagining Blackness and Architecture

      Skills you'll gain: Business Psychology, Culture, Leadership and Management, Creativity, Entrepreneurship, Research and Design, Communication, Marketing, Social Media

      4.9

      (62 reviews)

      Beginner · Course · 1-3 Months

    Searches related to deep learning

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    1…565758…59

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

    • Clinical Data Models and Data Quality Assessments: University of Colorado System
    • International Humanitarian Law in Theory and Practice: Universiteit Leiden
    • Omnichannel Retail Strategy: University of Pennsylvania
    • Successful Presentation: University of Colorado Boulder
    • A New Communication Framework for Healthcare: University of California San Diego
    • Recovering the Humankind's Past and Saving the Universal Heritage: Sapienza University of Rome
    • The Growth Mindset: University of California, Davis
    • Exploiting and Securing Vulnerabilities in Java Applications: University of California, Davis
    • Basics of Cost Accounting: Product Costing: Technische Universität München (TUM)
    • Vector Calculus for Engineers: The Hong Kong University of Science and Technology

    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 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.‎

    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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