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    Results for "deep learning"

    • Status: Free Trial
      Free Trial

      LearnQuest

      Python Scripting for DevOps

      Skills you'll gain: Containerization, Package and Software Management, Unified Modeling Language, Software Testing, Docker (Software), Unit Testing, Plot (Graphics), Development Testing, CI/CD, Test Automation, Pandas (Python Package), Scripting, Data Modeling, NumPy, Programming Principles, Object Oriented Programming (OOP), Data Structures, Computer Programming, Python Programming, Command-Line Interface

      4
      Rating, 4 out of 5 stars
      Ā·
      201 reviews

      Beginner Ā· Specialization Ā· 3 - 6 Months

    • Universidad Austral

      La alfabetización temprana en contextos rurales

      Skills you'll gain: Oral Expression, Literacy, Childhood Education and Development, Working With Children, Writing, Vocabulary, Parent Communication, Storytelling, Language Learning, Teaching, Instructional Strategies, Cultural Diversity

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      144 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      FEM - Linear, Nonlinear Analysis & Post-Processing

      Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      177 reviews

      Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    • Status: Free Trial
      Free Trial

      Automatic Data Processing, Inc. (ADP)

      Total Rewards & the Role of Compensation & Benefits

      Skills you'll gain: Compensation and Benefits, Compensation Management, Compensation Strategy, Benefits Administration, Human Resources, Human Resource Strategy, Employee Retention, Organizational Strategy, Performance Management

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      42 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Cisco Learning and Certifications

      Threat Analysis

      Skills you'll gain: MITRE ATT&CK Framework, Threat Modeling, Cyber Threat Intelligence, Threat Detection, Incident Response, Computer Security Incident Management, Malware Protection, Network Analysis, Cybersecurity, Network Security, Network Monitoring, SQL

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      33 reviews

      Mixed Ā· Course Ā· 1 - 4 Weeks

    • EIT Digital

      Cybersecurity Awareness and Innovation

      Skills you'll gain: Email Security, Computer Security Awareness Training, Cybersecurity, Security Awareness, Cyber Attacks, Identity and Access Management, Threat Management, Threat Detection, Data Security, User Accounts, Entrepreneurship

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      746 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Universidad Nacional Autónoma de México

      Evaluación educativa

      Skills you'll gain: Peer Review, Program Evaluation, Patient Evaluation, Curriculum Planning, Qualitative Research, Health Assessment, Pedagogy, Psychological Evaluations, Curriculum Development, Education and Training, Simulations, Instructional and Curriculum Design, Survey Creation, Instructional Strategies, Data Analysis Software, Student-Centred Learning, Higher Education, Statistical Analysis, Systems Thinking, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      820 reviews

      Beginner Ā· Specialization Ā· 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Microsoft

      Microsoft Azure Cosmos DB

      Skills you'll gain: Microsoft Azure, NoSQL, Database Administration, Data Store, Database Systems, Cloud Storage, Database Theory, Data Storage, Cloud Services, Data Storage Technologies, Data Security, Query Languages, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      Ā·
      98 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Tecnológico de Monterrey

      Inteligencia Artificial centrada en el ser humano

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Human Factors, Automation, Human Machine Interfaces, Agentic systems, Machine Learning, Human Computer Interaction, Human Centered Design, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      112 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      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

      3.6
      Rating, 3.6 out of 5 stars
      Ā·
      48 reviews

      Advanced Ā· Course Ā· 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      Ā·
      70 reviews

      Beginner Ā· Specialization Ā· 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      584 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    Searches related to deep learning

    deep learning specialization
    deep learning ai
    deep learning with pytorch
    deep learning with keras and tensorflow
    deep learning for computer vision
    deep learning with pytorch : generative adversarial network
    deep learning for natural language processing
    deep learning - artificial neural networks with tensorflow
    1…134135136…439

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

    • Python Scripting for DevOps: LearnQuest
    • La alfabetización temprana en contextos rurales : Universidad Austral
    • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera Project Network
    • Total Rewards & the Role of Compensation & Benefits: Automatic Data Processing, Inc. (ADP)
    • Threat Analysis: Cisco Learning and Certifications
    • Cybersecurity Awareness and Innovation: EIT Digital
    • Evaluación educativa: Universidad Nacional Autónoma de MĆ©xico
    • Microsoft Azure Cosmos DB: Microsoft
    • Inteligencia Artificial centrada en el ser humano: Tecnológico de Monterrey
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke 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 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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    Online Deep Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Deep Learning skills. Choose from a wide range of Deep Learning courses offered by top universities and industry leaders tailored to various skill levels.ā€Ž

    Yes, Coursera offers a variety of free courses across many topics, including deep 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.ā€Ž

    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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