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    Results for "neural networks"

    • Universidade de São Paulo

      Off the Clock: The Many Faces of Time

      Skills you'll gain: Timelines, Cultural Diversity, Anthropology, Liberal Arts, Psychology, Environmental Science, Physics, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free

      Oracle

      Oracle Cloud Infrastructure Generative AI Professional

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, Oracle Cloud, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Python Programming, Machine Learning, Application Deployment

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Peking University

      操作系统与虚拟化安全

      Skills you'll gain: Application Security, IT Security Architecture, Authorization (Computing), Security Engineering, Computer Security, Threat Modeling, Operating Systems, Information Systems Security, Continuous Monitoring, Infrastructure Security, Security Requirements Analysis, Virtualization, Data Security, Identity and Access Management, Virtual Machines, Role-Based Access Control (RBAC)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 3 - 6 Months

    • SkillUp EdTech

      Blockchain and Cryptography Overview

      Skills you'll gain: Blockchain, Cryptography, Cybersecurity, Network Security, Information Systems Security, Key Management, Encryption, Data Integrity, Distributed Computing, Transaction Processing, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • Edureka

      Industrial Cybersecurity

      Skills you'll gain: Cybersecurity, Intrusion Detection and Prevention, Infrastructure Security, Cyber Attacks, Threat Modeling, Incident Response, Security Controls, Threat Detection, Network Security, Network Architecture, Network Protocols

      4.1
      Rating, 4.1 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 4 Weeks

    • Infosec

      Establishing Command-and-Control and Finding Credentials

      Skills you'll gain: Cyber Operations, Cybersecurity, Authentications, Scripting, Python Programming, Data Access, Network Security, User Accounts, System Programming, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26 reviews

      Mixed · Course · 1 - 4 Weeks

    • EDUCBA

      Azure Networking Fundamentals

      Skills you'll gain: Network Architecture, Network Monitoring, Load Balancing, Microsoft Azure, Network Troubleshooting, Network Infrastructure, Scalability, Network Security, Cloud Infrastructure, Computer Networking, Firewall, Virtual Private Networks (VPN), Distributed Denial-Of-Service (DDoS) Attacks, Virtual Machines

      4.4
      Rating, 4.4 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Illinois Tech

      Introduction to Data Networks and the Internet - Bachelor's

      Skills you'll gain: Network Troubleshooting, Network Security, OSI Models, Network Monitoring, Network Performance Management, Network Architecture, Computer Networking, TCP/IP, General Networking, Local Area Networks, Cybersecurity, Network Analysis, Network Protocols, Network Infrastructure, Software-Defined Networking, Network Routers, Network Switches

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

    • University of Colorado Boulder

      Text Marketing Analytics

      Skills you'll gain: Network Analysis, Unsupervised Learning, Supervised Learning, Unstructured Data, Marketing Analytics, Machine Learning, Deep Learning, Text Mining, Machine Learning Algorithms, Tensorflow, Machine Learning Methods, Scikit Learn (Machine Learning Library), Python Programming, Data Science, Analytics, Marketing, JSON, Semantic Web, Data Structures, Natural Language Processing

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Illinois Tech

      Operating System Virtualization - Master's

      Skills you'll gain: Virtualization, Virtual Machines, Hyper-V, VMware ESX Servers, Data Centers, Data Storage, Servers, Computer Networking, Network Infrastructure, Remote Access Systems, Computer Hardware

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Advancing Women in Tech

      Real-World Cloud PM 3 of 3: Security, AWS Well-Architected

      Skills you'll gain: Amazon Web Services, Technical Product Management, Cloud Security, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Cloud Computing, Network Architecture, Data Security, Product Management, Technical Support, Application Security, Network Security, Identity and Access Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • Fractal Analytics

      Successful AI Strategies: A CEO's Perspective

      Skills you'll gain: Business Leadership, Generative AI, Business Strategy, Data Strategy, Business Transformation, Strategic Decision-Making, Organizational Strategy, Technology Strategies, Deep Learning, Artificial Intelligence, Human Resources, Human Centered Design, Data Quality, Design Thinking, Governance, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to neural networks

    neural networks and deep learning
    neural networks and random forests
    artificial neural networks
    deep neural networks
    convolutional neural networks
    introduction to neural networks
    convolutional neural networks in tensorflow
    foundations of neural networks
    1…909192…152

    In summary, here are 10 of our most popular neural networks courses

    • Off the Clock: The Many Faces of Time: Universidade de São Paulo
    • Oracle Cloud Infrastructure Generative AI Professional: Oracle
    • 操作系统与虚拟化安全: Peking University
    • Blockchain and Cryptography Overview: SkillUp EdTech
    • Industrial Cybersecurity: Edureka
    • Establishing Command-and-Control and Finding Credentials: Infosec
    • Azure Networking Fundamentals: EDUCBA
    • Introduction to Data Networks and the Internet - Bachelor's: Illinois Tech
    • Text Marketing Analytics: University of Colorado Boulder
    • Operating System Virtualization - Master's: Illinois Tech

    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 Neural Networks

    Neural networks, also known as neural nets or artificial neural networks (ANN), are machine learning algorithms organized in networks that mimic the functioning of neurons in the human brain. Using this biological neuron model, these systems are capable of unsupervised learning from massive datasets.

    This is an important enabler for artificial intelligence (AI) applications, which are used across a growing range of tasks including image recognition, natural language processing (NLP), and medical diagnosis. The related field of deep learning also relies on neural networks, typically using a convolutional neural network (CNN) architecture that connects multiple layers of neural networks in order to enable more sophisticated applications.

    For example, using deep learning, a facial recognition system can be created without specifying features such as eye and hair color; instead, the program can simply be fed thousands of images of faces and it will learn what to look for to identify different individuals over time, in much the same way that humans learn. Regardless of the end-use application, neural networks are typically created in TensorFlow and/or with Python programming skills.‎

    Neural networks are a fundamental concept to understand for jobs in artificial intelligence (AI) and deep learning. And, as the number of industries seeking to leverage these approaches continues to grow, so do career opportunities for professionals with expertise in neural networks. For instance, these skills could lead to jobs in healthcare creating tools to automate X-ray scans or assist in drug discovery, or a job in the automotive industry developing autonomous vehicles.

    Professionals dedicating their careers to cutting-edge work in neural networks typically pursue a master’s degree or even a doctorate in computer science. This high-level expertise in neural networks and artificial intelligence are in high demand; according to the Bureau of Labor Statistics, computer research scientists earn a median annual salary of $122,840 per year, and these jobs are projected to grow much faster than average over the next decade.‎

    Absolutely - in fact, Coursera is one of the best places to learn about neural networks, online or otherwise. You can take courses and Specializations spanning multiple courses in topics like neural networks, artificial intelligence, and deep learning from pioneers in the field - including deeplearning.ai and Stanford University. Coursera has also partnered with industry leaders such as IBM, Google Cloud, and Amazon Web Services to offer courses that can lead to professional certificates in applied AI and other areas. You can even learn about neural networks with hands-on Guided Projects, a way to learn on Coursera by completing step-by-step tutorials led by experienced instructors.‎

    Before starting to learn neural networks, it's important to have experience creating and using algorithms since neural networks run on complicated algorithms. You should also have fundamental math skills at least, but you'll be at a better advantage if you have knowledge of linear algebra, calculus, statistics, and probability. Being proficient at problem-solving is also important before starting to learn neural networks. An understanding of how the human brain processes information is helpful since artificial neural networks are patterned after how the brain works. You'll also benefit from having experience using any programming language, in particular Java, R, Python, or C++. This includes experience using these languages' libraries, which you'll access to apply the algorithms used in neural networks.‎

    People who are best suited for roles in neural networks are innovative, interested in technology, and have the ability to identify patterns in large amounts of data and draw conclusions from them. People who have a desire to make life and work easier for human beings through artificial technology are well suited for roles in neural networks too. Also, people who have good programming skills and data engineering skills like SQL, data analysis, ETL, and data visualization are likely well suited for roles in neural networks.‎

    If you are interested in the field of artificial intelligence, learning about neural networks is right for you. If your current or future position involves data analysis, pattern recognition, optimization, forecasting, or decision-making, you might also benefit from learning neural networks. Neural networks are also used in image recognition software, speech synthesis, self-driving vehicles, navigation systems, industrial robots, and algorithms for protecting information systems, so if you're interested in these technologies, learning neural networks may be helpful to you.‎

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

    When looking to enhance your workforce's skills in Neural Networks, 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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