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    Results for "neural networks"

    • Status: New
      New

      Johns Hopkins University

      Advanced Neural Network Techniques

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Juniper Networks

      Introduction to OpenStack and Kubernetes Orchestrators

      Skills you'll gain: Application Deployment, Kubernetes, Cloud Infrastructure, Cloud Computing, Cloud Management, Virtualization and Virtual Machines, YAML, Containerization, Infrastructure as Code (IaC), General Networking, API Gateway, Command-Line Interface, Network Security

      3.8
      Rating, 3.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado System

      Basic Cryptography and Programming with Crypto API

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Advanced Encryption Standard (AES), Application Security, Public Key Cryptography Standards (PKCS), Secure Coding, Data Security, Web Development, Email Security, PHP (Scripting Language), Algorithms, User Provisioning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Yonsei University

      Smart Device & Mobile Emerging Technologies

      Skills you'll gain: Wireless Networks, Telecommunications, Mobile Development, Apple iOS, Display Devices, Business Planning, iOS Development, Product Planning, Android (Operating System), Company, Product, and Service Knowledge, Business Strategy, Network Analysis, Emerging Technologies, Operating Systems, Knowledge of Apple Hardware, System Software, Digital Communications, General Networking, Peripheral Devices, Market Trend

      4.7
      Rating, 4.7 out of 5 stars
      ·
      471 reviews

      Beginner · Course · 1 - 3 Months

    • University of Colorado Boulder

      Mind and Machine

      Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Probability Distribution, Behavioral Economics, Logical Reasoning, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Test Case, Human Factors, Theoretical Computer Science, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      359 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      The University of Edinburgh

      Intellectual Humility: Theory

      Skills you'll gain: Self-Awareness, Personal Attributes, Emotional Intelligence, Open Mindset, Cognitive flexibility, Critical Thinking, Psychology, Research, Psychological Evaluations, Surveys

      4.5
      Rating, 4.5 out of 5 stars
      ·
      371 reviews

      Beginner · Course · 1 - 3 Months

    • IBM

      Core 2: OS, Software, Security and Operational Procedures

      Skills you'll gain: Desktop Support, Operating Systems, Command-Line Interface, System Support, Mobile Security, Network Security, Microsoft Windows, Unix Commands, Technical Support, Mac OS, Linux, Network Troubleshooting, System Configuration, Network Administration, Software Installation, Firewall, Encryption, Malware Protection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Colorado System

      Detecting and Mitigating Cyber Threats and Attacks

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Incident Response, Computer Security Incident Management, Cybersecurity, Threat Management, Data Security, Cyber Attacks, Malware Protection, Endpoint Security, Network Security, Firewall

      4.7
      Rating, 4.7 out of 5 stars
      ·
      456 reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Google Workspace Data Governance

      Skills you'll gain: Data Governance, Data Loss Prevention, Gmail, Google Workspace, Information Management, Data Management, Data Security, Document Management, Records Management, Data Storage, Data Access, Data Import/Export, Email Security, System Configuration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      654 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Goldman Sachs

      Fundamentals of Negotiation, with Goldman Sachs 10,000 Women

      Skills you'll gain: Negotiation, Active Listening, Rapport Building, Business Communication, Conflict Management, Relationship Building, Interpersonal Communications, Goal Setting, Communication, Cognitive flexibility, Influencing, Emotional Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Mixed · Course · 1 - 4 Weeks

    • Infosec

      Operating System Foundations

      Skills you'll gain: Penetration Testing, Linux Commands, Command-Line Interface, Cyber Security Assessment, Linux, Cybersecurity, Operating Systems, Vulnerability Assessments, Windows PowerShell, Microsoft Windows, Computer Systems, Mac OS

      4.7
      Rating, 4.7 out of 5 stars
      ·
      82 reviews

      Mixed · Course · 1 - 4 Weeks

    • Illinois Tech

      Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, OpenAI, Supervised Learning, Business, Business Ethics, Ethical Standards And Conduct, Technology Strategies, Market Intelligence, Human Machine Interfaces, Emerging Technologies, Deep Learning, Market Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Beginner · 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…505152…152

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

    • Advanced Neural Network Techniques: Johns Hopkins University
    • Introduction to OpenStack and Kubernetes Orchestrators: Juniper Networks
    • Basic Cryptography and Programming with Crypto API: University of Colorado System
    • Smart Device & Mobile Emerging Technologies: Yonsei University
    • Mind and Machine: University of Colorado Boulder
    • Intellectual Humility: Theory: The University of Edinburgh
    • Core 2: OS, Software, Security and Operational Procedures: IBM
    • Detecting and Mitigating Cyber Threats and Attacks: University of Colorado System
    • Google Workspace Data Governance: Google Cloud
    • Fundamentals of Negotiation, with Goldman Sachs 10,000 Women: Goldman Sachs

    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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