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    Results for "deep learning"

    • Status: Free
      Free

      Georgia Institute of Technology

      Lesson | Telephone Language

      Skills you'll gain: Telephone Skills, Verbal Communication Skills, Language Competency, Vocabulary, Professionalism, English Language, Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      96 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      35 reviews

      Beginner · Specialization · 3 - 6 Months

    • Pontificia Universidad Católica de Chile

      Programación en Python II: aprendiendo a estructurar datos

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Computer Programming, Algorithms, Python Programming, Computational Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Packt

      CompTIA A+ Certification Core 1 (220-1101)

      Skills you'll gain: Hardware Troubleshooting, Computer Displays, TCP/IP, Computer Hardware, Augmented and Virtual Reality (AR/VR), Data Storage Technologies, Virtualization and Virtual Machines, Virtual Local Area Network (VLAN), Virtual Private Networks (VPN), Network Administration, Wireless Networks, Local Area Networks, General Networking, Network Security, Network Architecture, Peripheral Devices, Network Routers, Hardware Architecture, Computer Architecture, Desktop Support

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Goldman Sachs

      Digital Marketing Strategy with Goldman Sachs 10,000 Women

      Skills you'll gain: Social Media Campaigns, Social Media, Paid media, Digital Media Strategy, Online Advertising, Search Engine Marketing, Digital Advertising, Digital Marketing, Pay Per Click Advertising, Marketing Strategy and Techniques, Owned Media, Marketing Planning, Earned Media

      4.7
      Rating, 4.7 out of 5 stars
      ·
      699 reviews

      Mixed · Course · 1 - 4 Weeks

    • The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Microsoft

      Cybersecurity Management and Compliance

      Skills you'll gain: Cloud Security, Data Management, Cloud Computing Architecture, Records Management, Security Management, Cloud Computing, Cyber Security Policies, Microsoft Azure, Data Security, Disaster Recovery, Data Governance, Information Assurance, Security Controls, Information Privacy, General Data Protection Regulation (GDPR)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      CertNexus

      Solve Business Problems with AI and Machine Learning

      Skills you'll gain: Data Ethics, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Basics of Inclusive Design for Online Education

      Skills you'll gain: Web Content Accessibility Guidelines, Learning Management Systems, Disabilities, Education Software and Technology, Visual Impairment Education, Document Management, Technical Writing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      82 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      IBM

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Data Infrastructure, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 3 Months

    • Coursera Project Network

      Mastering Data Analysis with Pandas

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      164 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial

      Microsoft

      Microsoft SC-900 Exam Preparation and Practice

      Skills you'll gain: Azure Active Directory, Active Directory, Microsoft Azure, Security Controls, Identity and Access Management, Security Information and Event Management (SIEM), Generative AI, Cloud Security, Data Governance, Authentications, Network Security, Role-Based Access Control (RBAC), Data Security, Scenario Testing, System Monitoring, Threat Detection, Multi-Factor Authentication, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to deep learning

    deep learning specialization
    deep learning: recurrent neural networks with python
    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 - artificial neural networks with tensorflow
    1…147148149…438

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

    • Lesson | Telephone Language: Georgia Institute of Technology
    • The Complete Quantum Computing Course for Beginners: Packt
    • Programación en Python II: aprendiendo a estructurar datos: Pontificia Universidad Católica de Chile
    • CompTIA A+ Certification Core 1 (220-1101): Packt
    • Digital Marketing Strategy with Goldman Sachs 10,000 Women: Goldman Sachs
    • Big Data, Genes, and Medicine: The State University of New York
    • Cybersecurity Management and Compliance: Microsoft
    • Solve Business Problems with AI and Machine Learning: CertNexus
    • Basics of Inclusive Design for Online Education: University of Colorado Boulder
    • Data Engineering Capstone Project: IBM

    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.‎

    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.‎

    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.‎

    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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