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Deep Learning for Data Analysis

  • Overview ImageOverview
  • Outline ImageCourse Outline
  • Scheduled ImageScheduled Dates

Course Overview

This comprehensive training course delves into the powerful world of Deep Learning and its applications in data analysis. Designed for data analysts and professionals seeking to enhance their skillset, this program equips you with the knowledge and tools to extract deeper insights from complex datasets.

Objective:

By the end of the course, you will have acquired the following skills and knowledge:

  • Profound insight into the statistical underpinnings of artificial intelligence.
  • Comprehensive understanding of machine learning principles and their practical applications.
  • Mastering deep learning models, activation functions, weights initialisation strategies, and regularisation techniques.
  • In-depth comprehension of Natural language processing NLP.
  • Hands-on experience through engagement in a practical project.
  • Exploration of diverse AI applications within the realm of businesses.
  • Gain expertise in discerning and leveraging business opportunities, adeptly crafting compelling use cases.

 

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Course Outline

Day 1 – Introduction

  • Understand data and exploratory data analysis (EDA).
  • Measures of central tendency, dispersion, and correlation.
  • Introduction to Machine Learning.
  • Introduction to supervised learning algorithms.
  • Introduction to unsupervised learning.
  • Introduction to reinforcement learning.
  • Complete ML workflow.

Day 2 – Deep Learning

  • Introduction to Deep Learning
  • Neural Networks (NN).
  • Feedforward neural networks.
  • Activation functions.
  • Backpropagation.
  • Regularisation.
  • Dropout.
  • Optimisation algorithms.
  • Weight initialisation.
  • Batch normalisation.
  • Hyper parameter tuning.

Day 3 – Natural Language Processing

  • Introduction to Natural Language Processing (NLP).
  • Understand NLP tasks.
  • Understand NLP cycle.
  • Bag of Words (BoW).
  • Word Embeddings.
  • Word2Vec.
  • Contextualised word embeddings.
  • BERT.

Day 4 – Deep Learning Project

  • Deep Learning project.
  • Problem identification.
  • Value identification.
  • Project setup.
  • Project implementation.
  • Evaluation.

Day 5 – AI applications in businesses.

  • Discriminative AI applications.
  • Generative AI applications.
  • Building a business use case.
  • Course wrap-up.

 

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Schedule & Fees

3 For 2Offer

Get the most out of group training with our special discount! Register 3 of your participants together on the same course and only pay for 2.

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Location

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  • Amsterdam amsterdam icon
  • Innovation and Artificial Intelligence (AI)
Amsterdam

Duration: 20 CPD hours (5Days)

date: 03 - 07 Jun 2024

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  • Innovation and Artificial Intelligence (AI)
Amsterdam

Duration: 20 CPD hours (5Days)

date: 10 - 14 Jun 2024

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  • Innovation and Artificial Intelligence (AI)
Amsterdam

Duration: 20 CPD hours (5Days)

date: 26 - 30 Aug 2024

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  • Innovation and Artificial Intelligence (AI)
Amsterdam

Duration: 20 CPD hours (5Days)

date: 18 - 22 Nov 2024

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  • Innovation and Artificial Intelligence (AI)

Deep Learning for Data Analysis

Duration:5 Days (20 CPD hours)

date:03 - 07 Jun 2024

Amsterdam

Amsterdam

$5,300


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Questions? Speak to our
friendly training advisor

Dunya Sayedyusef

Email Imagesales@londontfe.com

Call+44 2071836657

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Why Choose London Training For Excellence?

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    Reliability

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    Tailored

    We customise our courses to suit your personal learning needs

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    Quality

    Our courses are delivered by highly experienced industry experts

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    Recognition

    All our courses are accredited by the CPD Standards Agency

Frequently Asked Questions

How can training courses be used as a company benefit?

Training is hugely beneficial to both yourself and your company. It enables you to employ new technologies, increases your productivity and enables you to be more autonomous. Have a look here at our infographic on the importance of training and development!

How often do you update your course content to ensure relevancy?

Our course content is constantly reviewed and updated to ensure we stay up to date with all the latest trends. After every course is completed we review the feedback and improve the material where necessary.

Do you keep your classroom environment and instructional methodologies current with today’s real-world workplace?

Yes, we focus our training on ‘real-world’ scenarios and our trainers are all highly experienced and skilled in their relevant fields.

Are your courses eligible for professional certification?

Yes, we offer certification with all our courses, every course is entitled to CPD (Continuous Professional Development) hours which you can put towards your professional portfolio.

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Deep Learning for Data Analysis

  • NetherlandsAmsterdam
  • calendar03 - 07 Jun 2024
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Deep Learning for Data Analysis

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  • NetherlandsAmsterdam
  • 03 - 07 Jun 2024
By submitting this form you agree to our Terms and Conditions and Privacy Policy.

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