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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

    • U

      University of Michigan

      Community Organizing for Social Justice

      Skills you'll gain: Community Organizing, Social Justice, Community Development, Diversity Awareness, Discussion Facilitation, Community Outreach, Cultural Diversity, Interpersonal Communications, Conflict Management, Program Evaluation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      322 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create your e-commerce store with Shopify

      Skills you'll gain: Order Processing, Order Management, Inventory Management System, Inventory Control, Customer Relationship Management, E-Commerce, Web Analytics, Retail Management, Product Management, Content Management Systems, Dashboard

      4.5
      Rating, 4.5 out of 5 stars
      ·
      547 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Minnesota

      Introduction to Recommender Systems: Non-Personalized and Content-Based

      Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Statistical Methods, Persona Development, Descriptive Statistics, Data Collection, Algorithms, Java Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      647 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Dartmouth College

      Why Smart Executives Fail: Common Mistakes & Warning Signs

      Skills you'll gain: Crisis Management, Strategic Leadership, Business Leadership, Leadership, Organizational Leadership, Strategic Decision-Making, Accountability, Organizational Change, Behavior Management, Business Strategy, Compensation Management, Change Management, Industrial and Organizational Psychology, Analysis, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      384 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • E

      EDHEC Business School

      Global Financing Solutions (by EDHEC and Société Générale)

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Mergers & Acquisitions, Capital Markets, Project Finance, Investment Banking, Securities (Finance), Risk Management, Finance, Corporate Finance, Banking, Loans, Asset Management, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      193 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      Northwestern University

      Scaling Operations: Linking Strategy and Execution

      Skills you'll gain: Data-Driven Decision-Making, Operational Analysis, Operations Management, Capacity Planning, Supply Chain, Competitive Analysis, Asset Management, Strategic Decision-Making, Business Strategy, Supplier Relationship Management, Value Engineering, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Applied Mathematics, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      606 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Local Economic Development

      Skills you'll gain: Economic Development, Community Development, Entrepreneurship, Project Design, Global Marketing, Socioeconomics, International Relations, Business Development, New Business Development, Innovation, Public Policies, Policy Development, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      378 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Macquarie University

      Organisational behaviour: Know your people

      Skills you'll gain: People Management, Diversity and Inclusion, Organizational Leadership, Leadership and Management, Team Building, Team Management, Team Leadership, Leadership, Industrial and Organizational Psychology, Cultural Diversity, Innovation, Conflict Management, Employee Engagement, Psychology, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • K

      Knowledge Accelerators

      Data-Driven Decisions with Power BI

      Skills you'll gain: Power BI, Dashboard, Data Import/Export, Data Transformation, Data Analysis, Data Cleansing, Data Presentation, Data Modeling, Data Visualization Software, Business Intelligence Software, Interactive Data Visualization, Data-Driven Decision-Making, Data Sharing, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Community Organizing for Social Justice : University of Michigan
    • Create your e-commerce store with Shopify: Coursera Project Network
    • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
    • Why Smart Executives Fail: Common Mistakes & Warning Signs: Dartmouth College
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Global Financing Solutions (by EDHEC and Société Générale): EDHEC Business School
    • Scaling Operations: Linking Strategy and Execution: Northwestern University
    • Number Theory and Cryptography: University of California San Diego
    • Local Economic Development: Erasmus University Rotterdam
    • Organisational behaviour: Know your people: Macquarie 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.‎

    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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