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Natural Language Processing

Self-Paced Learning
28 Hours
Beginner

Natural language processing (NLP) and text mining are the art and science of extracting insights from large amounts of natural language.

$ 0.00
Self-Paced

Course overview

About this Course:

The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is undergoing rapid evolution as new methods and toolsets converge with an ever-expanding availability of data. In this course you will explore the fundamental concepts of NLP and its role in current and emerging technologies. You will gain a thorough understanding of modern neural network algorithms for the processing of linguistic information. By mastering cutting-edge approaches, you will gain the skills to move from word representation and syntactic processing to designing and implementing complex deep learning models for question answering, machine translation, and other language understanding tasks.

Course Objectives:

  • Computational properties of natural languages
  • Neural network models for language understanding tasks
  • Word vectors, syntactic, and semantic processing
  • Coreference, question answering, and machine translation.
  • Transformers and pretraining

Prerequisites:

  • Proficiency in Python: All coding assignments will be written in Python. You should be familiar with numpy and matplotlib, as well as basic shell commands (ssh, scp, ls, cd, rm, mv, cp, zip, etc.).
  • Calculus and Linear Algebra: You should understand the following concepts from multivariable calculus and linear algebra: chain rule, gradients, matrix multiplication, matrix inverse.
  • Probability: You should be familiar with basic probability distributions and be able to define the following concepts for both continuous and discrete random variables: Expectation, independence, probability distribution functions, and cumulative distribution functions.
  • Foundations of Machine Learning (Recommended): Knowledge of basic machine learning and/or deep learning is helpful, but not required.

Outline

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28 Hours
Beginner
Self-Paced Learning

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Natural language processing (NLP) and text mining are the art and science of extracting insights from large amounts of natural language.

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Meet some of our Coaches

Bekim Dauti

Microsoft Certified Trainer

Bekim Dauti works in the administration of servers and computer networks and training in Cisco, CompTIA, and Microsoft. He has a bachelor's degree from the University of Tirana and a master's degree from UMGC Europe, both in IT.

Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

Zaki Medina

CTO in Healthcare

Zaki has many years of experience in the Telecom, Utility and Healthcare industries leading data science, analytics and technical teams with an advanced understanding of data engineering, data science, ML-Ops and Responsible AI technologies and the appropriate application of these technologies to solve problems at a massive scale.

William Clark

CompTIA Instructor and Consultant

William Clark is the founder and CEO of Clark Technology Group. For 30 years he has worked in networking and cybersecurity in retail, health care, government, military and manufacturing sectors.​

Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

Uchechukwu Cos-Ibe

GCP Cloud Engineer

Uchechukwu Cos-Ibe is a highly skilled and GCP-certified Cloud Engineer with a strong background in deploying and managing cloud infrastructure. With expertise in automating cloud deployments using Terraform and implementing CI/CD pipelines. Uchechukwu's experience as a Database Administrator and Data Science professional further enhances their ability to provide valuable insights and optimize cloud solutions.

Dickson Victor

Devops Engineer

Dickson is a DevOps Engineer with multi-cloud certifications and experience working with AWS, Google cloud and Microsoft Azure. He is an AWS community builder, Microsoft Certified trainer, AWS Accredited Instructor and technical writer.

Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

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