Part 1 – Optimizing Business Processes
Case Study: Optimizing the Flows in an E-Commerce Warehouse
AI Solution: Q-Learning

Part 2 – Minimizing Costs
Case Study: Minimizing the Costs in Energy Consumption of a Data Center
AI Solution: Deep Q-Learning

Part 3 – Maximizing Revenues
Case Study: Maximizing Revenue of an Online Retail Business
AI Solution: Thompson Sampling

Real World Business Applications:

With Artificial Intelligence, you can do three main things for any business:

1. Optimize Business Processes

2. Minimize Costs

3. Maximize Revenues

We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge.

In Part 1 – Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse.

In Part 2 – Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind.

In Part 3 – Maximizing Revenues, we will build a different AI that will maximize revenue of an Online Retail Business, making it earn more than 1 Billion dollars in revenue!

But that’s not all, this time, and for the first time, we’ve prepared a huge innovation for you. With this course, you will get an incredible extra product, highly valuable for your career:

“a 100-pages book covering everything about Artificial Intelligence for Business!”.

The Book:

This book includes:

• 100 pages of crystal clear explanations, written in beautiful and clean latex

• All the AI intuition and theory, including the math explained in detail

• The three Case Studies of the course, and their solutions

• Three different AI models, including Q-Learning, Deep Q-Learning, and Thompson Sampling

• Code Templates

• Homework and their solutions for you to practice

• Plus, lots of extra techniques and tips like saving and loading models, early stopping, and much much more.

Conclusion:

If you want to land a top-paying job or create your very own successful business in AI, then this is the course you need.

Take your AI career to new heights today with Artificial Intelligence for Business — the ultimate AI course to propel your career further.

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

• Part 1 – Data Preprocessing
• Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
• Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
• Part 4 – Clustering: K-Means, Hierarchical Clustering
• Part 5 – Association Rule Learning: Apriori, Eclat
• Part 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
• Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP
• Part 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
• Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
• Part 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.