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    • Deep Learning

    Deep Learning Courses Online

    Study deep learning for advanced machine learning. Learn about neural networks, backpropagation, and deep learning frameworks.

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    Explore the Deep Learning Course Catalog

    • P

      Politecnico di Milano

      Circular business models fostering sustainability

      Skills you'll gain: Business Modeling, Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Digital Transformation, Systems Thinking, Business Transformation, Business Strategies, Business Economics, Product Lifecycle Management, Environment and Resource Management, Waste Minimization, Finance, Policy Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Text Mining, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Master Electric Vehicle Tech: Software Skills

      Skills you'll gain: Electrical Systems, Embedded Software, Electric Power Systems, Wiring Diagram, Hardware Troubleshooting, Software Systems, Systems Integration, Control Systems, Human Machine Interfaces

      Beginner · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Developing FPGA-accelerated cloud applications with SDAccel: Practice

      Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Performance Tuning, Hardware Architecture, System Design and Implementation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Titanic Survival Prediction Using Machine Learning

      Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Analytics, Machine Learning Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Developing a Programme Management Blueprint with ClickUp

      Skills you'll gain: Project Design, Program Management, Timelines, Work Breakdown Structure, Project Scoping, Project Management, Agile Methodology, Project Management Software, Process Development, Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      25 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Interpretable Machine Learning

      Skills you'll gain: Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kotter

      The Science of Change

      Skills you'll gain: Organizational Change, Change Management, Culture Transformation, Business Transformation, Organizational Development, Organizational Leadership, Business Leadership, Organizational Structure, Leadership and Management, Organizational Effectiveness, Overcoming Obstacles, Organizational Strategy, Systems Thinking, Strategic Leadership, Industrial and Organizational Psychology, People Management, Innovation, Leadership, Goal Setting, Drive Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      40 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      SOAR for Enterprise Security

      Skills you'll gain: Computer Security Incident Management, Incident Management, Incident Response, Security Management, Threat Management, Security Strategy, Event Monitoring, Security Information and Event Management (SIEM), Continuous Monitoring, Enterprise Security, Cyber Operations, Information Technology Operations, Automation, Systems Integration

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Improving Content Mastery with Quizlet

      Skills you'll gain: Educational Materials, Curriculum Planning, Developing Training Materials, Interactive Learning, Organizational Skills, Student Engagement, Education Software and Technology, Learning Strategies, Test Tools, Drive Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Fundamentos de Inteligência Artificial para Finanças

      Skills you'll gain: Deep Learning, Predictive Analytics, FinTech, Data-Driven Decision-Making, Machine Learning, Digital Transformation, Analytics, Artificial Intelligence, Artificial Neural Networks, Business Transformation, Finance, Accounting, Financial Services, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      C++ Class Development

      Skills you'll gain: Unreal Engine, C++ (Programming Language), Video Game Development, Object Oriented Programming (OOP), Software Architecture, Software Design, Programming Principles, Application Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    Deep Learning learners also search

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

    • Circular business models fostering sustainability: Politecnico di Milano
    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • Master Electric Vehicle Tech: Software Skills: Coursera Instructor Network
    • Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano
    • Titanic Survival Prediction Using Machine Learning: Coursera Project Network
    • Developing a Programme Management Blueprint with ClickUp: Coursera Project Network
    • Interpretable Machine Learning: Duke University
    • The Science of Change: Kotter
    • SOAR for Enterprise Security: Codio
    • Improving Content Mastery with Quizlet: Coursera Project Network

    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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