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Mastering Neural Networks & DL: Business Applications 2023

By Peter Alkema

Deep learning and neural networks are often discussed as technical subjects.

$79.00 Buy this course

Format
Course
Lessons
108
License
PLR
Mastering Neural Networks & DL: Business Applications 2023

What's in the PLR package

1 file · 10.1 GB · Included with the PLR license

  • Uthena – Neural Networks and Deep Learning for Business Transformation.zip ZIP 10.1 GB

Download links unlock in your account right after purchase.

Curriculum

4 chapters · 108 lessons

Course content 1 lesson
  1. Lesson: invideo-ai-1080 Transform Your Business with Neural Netw 2024-12-15
Neural Networks and Deep Learning for Business Transformation Ipdfs 6 lessons
  1. Lesson: Resources
  2. Lesson: Resources 2
  3. Lesson: Resources 3
  4. Lesson: Resources 4
  5. Lesson: Resources 5
  6. Lesson: Resources 6
upload 1 lesson
  1. Lesson: Resources
Videos 100 lessons
  1. Lesson: Neural networks and deep learning drive innovation and efficiency across industries.
  2. Lesson: Neuron Structure and Activation Functions
  3. Lesson: Feedforward and Backpropagation
  4. Lesson: Gradient Descent in NNs
  5. Lesson: Applications of Neural Networks in Business
  6. Lesson: Deep Learning vs. Traditional Machine Learning
  7. Lesson: Deep Neural Networks Architecture
  8. Lesson: Convolutional Neural Networks
Show 92 more
  1. Lesson: Recurrent Neural Networks
  2. Lesson: Deep Learning Applications in Industry
  3. Lesson: Optimizing Neural Network Performance
  4. Lesson: Regularization and Dropout
  5. Lesson: Hyperparameter Tuning
  6. Lesson: Transfer Learning
  7. Lesson: Fine-Tuning Neural Networks for Business Scenarios
  8. Lesson: Image Data Preprocessing
  9. Lesson: Convolutional Neural Networks for Images
  10. Lesson: Object Detection with CNNs
  11. Lesson: Deep Learning for Image Classification
  12. Lesson: Real-Life Image Recognition Case Studies
  13. Lesson: Text Preprocessing for NLP
  14. Lesson: Recurrent Neural Networks for Text Data
  15. Lesson: Word Embeddings and LSTM
  16. Lesson: Sentiment Analysis using RNNs
  17. Lesson: NLP Applications in Business Communication
  18. Lesson: Introduction to GANs
  19. Lesson: GAN Architecture and Training Process
  20. Lesson: Applications of GANs in Image Generation
  21. Lesson: Challenges and Ethical Considerations of GANs
  22. Lesson: Examples of GANs in Creative Industries
  23. Lesson: Introduction to Time Series Data Analysis
  24. Lesson: Recurrent Neural Networks for Time Series
  25. Lesson: Long Short-Term Memory Networks
  26. Lesson: Predictive Analytics with RNNs
  27. Lesson: Time Series Forecasting in Business Contexts
  28. Lesson: Understanding Anomalies in Data
  29. Lesson: Autoencoder Architecture
  30. Lesson: Denoising Autoencoders
  31. Lesson: Applications of Anomaly Detection in Fraud
  32. Lesson: Real-Time Anomaly Detection Use Cases
  33. Lesson: Reinforcement Learning Basics
  34. Lesson: Q-Learning and Markov Decision Processes
  35. Lesson: Deep Q Networks (DQN)
  36. Lesson: Policy Gradient Methods
  37. Lesson: Reinforcement Learning in Game Theory
  38. Lesson: Segmentation Methods in Marketing
  39. Lesson: Neural Network Clustering Techniques
  40. Lesson: Targeted Marketing Campaigns
  41. Lesson: Customer Lifetime Value Prediction
  42. Lesson: Case Studies on Neural Segmentation in Business
  43. Lesson: Social Media Data and Sentiment Analysis
  44. Lesson: Deep Learning for Sentiment Detection
  45. Lesson: Engagement Prediction with Sentiment Analysis
  46. Lesson: Brand Reputation Monitoring
  47. Lesson: Sentiment Analysis in Influencer Marketing
  48. Lesson: Optimizing Business Processes with DL
  49. Lesson: Automating Decision-Making
  50. Lesson: Dynamic Pricing Strategies
  51. Lesson: Supply Chain Optimization
  52. Lesson: DL in Inventory Management
  53. Lesson: Predictive Analytics in Finance
  54. Lesson: Stock Price Prediction with NNs
  55. Lesson: Risk Management in Banking
  56. Lesson: Credit Scoring using Neural Networks
  57. Lesson: Applications of NNs in Financial Sector
  58. Lesson: Fraud Detection Techniques
  59. Lesson: Deep Learning Models for Fraud
  60. Lesson: Behavior-based Fraud Detection
  61. Lesson: Anti-Money Laundering with DL
  62. Lesson: Case Studies in Fraud Detection
  63. Lesson: DL for Competitive Analysis
  64. Lesson: Predictive Marketing Strategies
  65. Lesson: Market Segmentation with NNs
  66. Lesson: Strategic Decision Support Systems
  67. Lesson: Deep Learning for Disruption Forecasting
  68. Lesson: Medical Image Analysis with NNs
  69. Lesson: DL for Disease Diagnosis
  70. Lesson: Healthcare Data Security with Deep Learning
  71. Lesson: Treatment Outcome Prediction
  72. Lesson: Real-World Healthcare Applications of NNs
  73. Lesson: Talent Recruitment with Neural Networks
  74. Lesson: Employee Performance Prediction
  75. Lesson: Retention Strategies using Deep Learning
  76. Lesson: Skills Gap Analysis
  77. Lesson: HR Decision Support Systems
  78. Lesson: Forecasting Demand in Supply Chains
  79. Lesson: Inventory Management with NNs
  80. Lesson: Predictive Maintenance in Logistics
  81. Lesson: Route Optimization using Neural Networks
  82. Lesson: Applications of NNs in Supply Chain Efficiency
  83. Lesson: Personalized Recommendations
  84. Lesson: Segment-Specific Campaigns
  85. Lesson: Customer Lifetime Value Prediction
  86. Lesson: Neural Networks in Customer Retention
  87. Lesson: Case Studies on Personalization Success
  88. Lesson: Integration of Neural Networks in Business
  89. Lesson: Data Privacy and Ethical Considerations
  90. Lesson: Change Management in DL Adoption
  91. Lesson: Organizational Culture Shifts
  92. Lesson: Future Trends and Opportunities in DL Implementation

About this course

Deep learning and neural networks are often discussed as technical subjects. This course approaches them through the business questions they can help address, from recognizing images to identifying patterns in customer data. It is a 2023 course edition for business professionals and learners exploring the relationship between AI methods and organizational decisions.

The material starts with the fundamentals of neural networks before moving into deep learning architectures. It also introduces natural language processing and reinforcement learning, giving learners a view of several approaches rather than presenting AI as a single technique.

Connect the models to business applications

Image recognition, sentiment analysis, time-series forecasting and customer segmentation are among the applications discussed. These topics connect the underlying models to different kinds of business data: pictures, text, changing measurements and groups of customers. They provide a way to think about which problems call for which analytical approach.

The course is framed around business uses of deep learning. Review the recorded tools and examples against your learners’ technical background and the purpose of your training.

Adapt the material for business AI education

With a PLR license, you can modify, rebrand and resell the course. An educator could use it as part of an introduction to AI applications for business audiences, then add their own industry examples or technical demonstrations. Keep the 2023 edition clear when describing the material, particularly if your offer also discusses newer tools or practices.

License rights

What each license lets you do. The full text is in the License terms.

License rights
Right PLR
Selling the course
Product may be sold separately YES
Product may be bundled with other products YES
Product can be a bonus for another product YES
Can be sold as a physical product YES
Can be sold as a digital product YES
Passing on rights
Can offer Resale Rights NO
Can offer Master Resale Rights NO
Can offer Private Label Rights NO
Show all 23 rights Show fewer rights
License rights, continued
Right PLR
Memberships, bonuses and lists
Can be added to paid membership sites YES
Can add bonuses to the Product for sale YES
Can be used to build a list YES
Rebranding and editing
You may put your own name on the sales letter YES
You may rename the product YES
You may edit the sales material YES
You may edit the content of the product YES
You may use the source code/material to create new products YES
You may use the name(s) of the author/creator/seller of the Product YES
Can translate the course into other languages YES
Not allowed with any license
Can be used for YouTube or other free video sites NO
Can be added to free membership sites NO
Can be given away for free NO
Can be used or sold on Uthena NO
Can be used or sold on Soofos, Udemy, Skillshare or other course marketplaces you don't own NO

Questions

What do I receive with a PLR or MRR license?

Downloadable package available: the complete course comes as files you download. The lessons are listed below; their online videos are still being added. PLR and MRR include a license key. Sales copy, editable formats and extras depend on the supplied package; check the listed contents.

What does lifetime access mean?

You can follow the course online for as long as it is available on Uthena. Downloadable files are guaranteed for 12 months from your purchase, so download them and keep your own copy.

Can I cancel my order?

Yes, within 7 days of your purchase: request a refund from your Uthena account. After 7 days an order can no longer be cancelled.

What if I want to speak to someone?

Email info@uthena.com, or support@uthena.com about an order, or use the contact form. We reply within two business days.

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