Recommendation Systems in Python

Beginner to Advance 4 (1 Ratings) 85 Students Enrolled
ACCREDITED BY CPD
£64.00
Course Includes:
  • Accredited By: CPD
  • Course Level: Beginner to Advance
  • Course Duration: 365 Days
  • Number of Modules: 21
  • Guided Learning Hours: 5
  • Course Certificate: At completion
  • Assessment Included:
  • Course Material:
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Asynchronous Learning

Easy Navigation

Support by Phone, Live Chat and Email

24 x 7 Access

Certification and Job Assistance

42 Hrs Instructor-led Training
28 Hrs Self-paced Videos
56 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance
What Will I Learn?
  • Learn Big data matrix factorisation on Spark with an AWS EC2 cluster
  • Understand deep neural networks, residual networks, and autoencoder in Keras
  • Understand and implement accurate recommendations for your users using simple and state-of-the-art algorithms
  • Learn Matrix factorisation / SVD in pure Numpy
Description

In today’s world every system that does well has a machine learning algorithm at its heart. Take for example Google Search engine, Amazon Product recommendations, LinkedIn, Facebook etc, all these systems have machine learning algorithms embedded in their systems in one form or the other. They are efficiently utilising data collected from various channels which helps them get a bigger picture of what they are doing and what they should do. Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing.

Gain the skills and techniques to understand real-world challenges, and how to apply algorithms such as these. Whether you sell products in your e-commerce store, or you simply write a blog - you can use these techniques to show the right recommendations to your users at the right time.

Why You Should Learn at Next Learn Academy?
Online learning is flexible, convenient and gives you the opportunity to balance life's other commitments with higher education. Next Learn Academy offers an extensive range of online courses with a variety of rich material and resources that will let you connect to peers and expert tutors and build on your skills and knowledge. Next Learn Academy is a reliable online provider with a strong reputation and its meticulously designed courses to help you kick-start your professional journey in the best possible way.  
  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended
  • Anyone who owns or operates an Internet business
  • Students in machine learning, deep learning, artificial intelligence, and data science
  • Professionals in machine learning, deep learning, artificial intelligence, and data science

To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.

You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.

  • You will only need to pay £19 for assessment & Certificate.

Upon the successful completion of the course, you will be awarded the ‘Certificate in Recommendation Systems in Python - Level 2’ certificate by CPD.

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Awarding Body

CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.

Other Benefits

  • High-quality e-learning study materials.
  • Tutorials/materials from industry-leading experts.
  • 24/7 Access to the Learning Portal.
  • Recognised Accredited Certification
  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended
  • Anyone who owns or operates an Internet business
  • Students in machine learning, deep learning, artificial intelligence, and data science
  • Professionals in machine learning, deep learning, artificial intelligence, and data science

To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.

You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.

  • You will only need to pay £19 for assessment & Certificate.

Upon the successful completion of the course, you will be awarded the ‘Certificate in Recommendation Systems in Python - Level 2’ certificate by CPD.

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Awarding Body

CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.

Other Benefits

  • High-quality e-learning study materials.
  • Tutorials/materials from industry-leading experts.
  • 24/7 Access to the Learning Portal.
  • Recognised Accredited Certification
£64.00
Course Includes:
  • Accredited By: CPD
  • Course Level: Beginner to Advance
  • Course Duration: 365 Days
  • Number of Modules: 21
  • Guided Learning Hours: 5
  • Course Certificate: At completion
  • Assessment Included:
  • Course Material:
Training 5 or more people?

Get your team access to 600+ top NLA courses anytime, anywhere.

Try NLA for Business
Program Fee
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?22,000/month

Total Program Fee ?3,25,000

Get a chance to win a scholarship up to Rs.1.10 Lakhs

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Reviews
  • MM
    Mon, 18-May-2020
    Marley Marsh
    Resourceful
    There was a lot of opportunity to put into practice the skills we were learning and lots of helpful resources to point students in the right direction

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