Deloitte's Course on AI, Machine Learning & Deep Learning

Rating 4.15 out of 5 (43 ratings in Udemy)

What you'll learn

Understand why many AI initiatives fail and why the majority of models never make it to production
Understand AI, Machine Learning & Deep Learning Fundamentals
Learn what the difference is between AI, Machine Learning & Deep Learning
Learn what the difference is between supervised, unsupervised and reinforcement learning
Understand how machines learn
Understand what the difference is between regression and classification …

Rating 4.15 out of 5 (43 ratings in Udemy)

What you'll learn

Understand why many AI initiatives fail and why the majority of models never make it to production
Understand AI, Machine Learning & Deep Learning Fundamentals
Learn what the difference is between AI, Machine Learning & Deep Learning
Learn what the difference is between supervised, unsupervised and reinforcement learning
Understand how machines learn
Understand what the difference is between regression and classification problems
Case Study: predict the stock price of General Electric
How do you measure the performance of a classification model?
Case Study: Diabetes Prediction
Understand overfitting, they key issue you will need to deal with in Machine Learning
Learn how Decision Trees work
Understand what Ensemble Learning is: bagging, boosting, XGBoost
Case Study: Learn what it takes to deploy a Machine Learning model in production
Understand how unsupervised learning algorithms work: Anomaly Detection & Clustering
Understand how Recommender Systems work?
Understand Deep Learning
Learn how the technology behind Computer Vision works
Understand the challenges of dealing with text data - NLP
Learn about Generative Deep Learning & GANs

Description

Every day we get confronted with news of how AI is revolutionising the way we live, work and play. As the topic of AI is not well understood the spread of information through vlogs, articles and blogs is highly biased so that there is confusion about what is applicable today and more importantly, what is still considered a research area.

Most people have little options when it comes to studying the subject of AI. One option is to go back to university but for the majority of executives this is not an option mainly because of time constraints. The other option is to sign up for short online AI courses offered by a variety of academic institutions. These online programmes are costly, don’t cover enough detail and are time consuming, still.

Companies spend a massive amount of time and money on chasing so-called ‘use cases’ often with disappointing outcomes. Instead of blindly chasing ‘use cases’ we believe that it makes more sense to get trained on the fundamentals of AI. Many ‘use cases’ have not been validated technically and even if they were validated technically, there may not be a valid business case.

Deloitte developed this course according to following design principles:

Complete course covering the vast majority of AI, Machine Learning & Deep Learning subjects in a logical sequence
Focus on understanding the fundamentals
Short Course - 75 minutes of animated video
Short Learning Units - Microlearning

The course is not a walk in the park but covers the majority of AI topics. We start with fundamentals and progress to popular classification algorithms like Random Forest and XGBoost. Subsequently we cover clustering, anomaly detection and recommender engines. The final chapter covers deep learning, computer vision and generative deep learning.

Duration 2 Hours 58 Minutes

Paid

Self paced

Beginner Level

English (US)

187

Rating 4.15 out of 5 (43 ratings in Udemy)

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