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AI-BUS.AP1.E0T
Artificial Intelligence for Business - Course
Beginner Self-paced · 1 year access
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
22 Interactive Lessons · 107 topics01 Preface 2 topics +
- About This eBook
- Foreword
02 What Is Artificial Intelligence? 7 topics +
- What Is Intelligence?
- Testing Machine Intelligence
- The General Problem Solver
- Strong and Weak Artificial Intelligence
- Artificial Intelligence Planning
- Learning over Memorizing
- Lesson Takeaways
03 The Rise of Machine Learning 5 topics +
- Practical Applications of Machine Learning
- Artificial Neural Networks
- The Fall and Rise of the Perceptron
- Big Data Arrives
- Lesson Takeaways
04 Zeroing in on the Best Approach 5 topics +
- Expert System Versus Machine Learning
- Supervised Versus Unsupervised Learning
- Backpropagation of Errors
- Regression Analysis
- Lesson Takeaways
05 Common AI Applications 4 topics +
- Intelligent Robots
- Natural Language Processing
- The Internet of Things
- Lesson Takeaways
06 Putting AI to Work on Big Data 6 topics +
- Understanding the Concept of Big Data
- Teaming Up with a Data Scientist
- Machine Learning and Data Mining: What’s the Difference?
- Making the Leap from Data Mining to Machine Learning
- Taking the Right Approach
- Lesson Takeaways
07 Weighing Your Options 1 topics +
- Lesson Takeaways
08 What Is Machine Learning? 5 topics +
- How a Machine Learns
- Working with Data
- Applying Machine Learning
- Different Types of Learning
- Lesson Takeaways
09 Different Ways a Machine Learns 5 topics +
- Supervised Machine Learning
- Unsupervised Machine Learning
- Semi-Supervised Machine Learning
- Reinforcement Learning
- Lesson Takeaways
10 Popular Machine Learning Algorithms 6 topics +
- Decision Trees
- k-Nearest Neighbor
- k-Means Clustering
- Regression Analysis
- Näive Bayes
- Lesson Takeaways
11 Applying Machine Learning Algorithms 5 topics +
- Fitting the Model to Your Data
- Choosing Algorithms
- Ensemble Modeling
- Deciding on a Machine Learning Approach
- Lesson Takeaways
12 Words of Advice 5 topics +
- Start Asking Questions
- Don’t Mix Training Data with Test Data
- Don’t Overstate a Model’s Accuracy
- Know Your Algorithms
- Lesson Takeaways
13 What Are Artificial Neural Networks? 6 topics +
- Why the Brain Analogy?
- Just Another Amazing Algorithm
- Getting to Know the Perceptron
- Squeezing Down a Sigmoid Neuron
- Adding Bias
- Lesson Takeaways
14 Artificial Neural Networks in Action 6 topics +
- Feeding Data into the Network
- What Goes on in the Hidden Layers
- Understanding Activation Functions
- Adding Weights
- Adding Bias
- Lesson Takeaways
15 Letting Your Network Learn 8 topics +
- Starting with Random Weights and Biases
- Making Your Network Pay for Its Mistakes: The Cost Function
- Combining the Cost Function with Gradient Descent
- Using Backpropagation to Correct for Errors
- Tuning Your Network
- Employing the Chain Rule
- Batching the Data Set with Stochastic Gradient Descent
- Lesson Takeaways
16 Using Neural Networks to Classify or Cluster 3 topics +
- Solving Classification Problems
- Solving Clustering Problems
- Lesson Takeaways
17 Key Challenges 6 topics +
- Obtaining Enough Quality Data
- Keeping Training and Test Data Separate
- Carefully Choosing Your Training Data
- Taking an Exploratory Approach
- Choosing the Right Tool for the Job
- Lesson Takeaways
18 Harnessing the Power of Natural Language Processing 5 topics +
- Extracting Meaning from Text and Speech with NLU
- Delivering Sensible Responses with NLG
- Automating Customer Service
- Reviewing the Top NLP Tools and Resources
- Lesson Takeaways
19 Automating Customer Interactions 3 topics +
- Choosing Natural Language Technologies
- Review the Top Tools for Creating Chatbots and Virtual Agents
- Lesson Takeaways
20 Improving Data-Based Decision-Making 4 topics +
- Choosing Between Automated and Intuitive Decision-Making
- Gathering Data in Real Time from IoT Devices
- Reviewing Automated Decision-Making Tools
- Lesson Takeaways
21 Using Machine Learning to Predict Events and Outcomes 5 topics +
- Machine Learning Is Really about Labeling Data
- Looking at What Machine Learning Can Do
- Use Your Power for Good, Not Evil: Machine Learning Ethics
- Review the Top Machine Learning Tools
- Lesson Takeaways
22 Building Artificial Minds 5 topics +
- Separating Intelligence from Automation
- Adding Layers for Deep Learning
- Considering Applications for Artificial Neural Networks
- Reviewing the Top Deep Learning Tools
- Lesson Takeaways
02 / FAQs
Questions before you start
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