AI Dynamics Inc. was founded to make AI accessible and to empower every organization to build sophisticated AI solutions without the time or cost of hiring scarce specialists. Our short videos, under 16 minutes long, taught by our CEO Rajeev Dutt, provide knowledge on topics such as the basics of Machine Learning to an overview of NeoPulse Framework.
Part 1
- Machine Learning Overview
- Case Study One and Analysis
- Case Study Two
- Introduction to NeoPulse
- Implementing Enterprise Machine Learning Solutions
Machine Learning Overview
Types of Machine Learning
Case Study: How to Effectively Use NeoPulse to Moderate the Forums and Act on Negative Comments
NeoPulse Framework Overview
How to Create AI Models with NeoPulse in 8 Easy Steps
NeoPulse and Use Cases: Network Operations, Market Forecasting, Bodycam Video Analysis, PET Tumor Identification, Satellite Operations, and more…
Methodology: Ideal Business Process When Implementing AI into Enterprise
Properties of AI Deployments, Ethics of AI, and Five Elements that Drive Data Quality
Before Implementing AI in Your Business, Start with a Question
Part 2
- The Challenge of Data
- The Mathematics of Machine Learning
- Feed-forward networks
- Backpropagation
- Gradient Descent
- Learning Rate
- Momentum
- Evaluating Results
Backpropagation and Loss
Optimizers and Gradient Descent
Momentum, Ensemble Learning
Evaluating Results
Bayes Theorem
Part 3
- Convolutional Neural Networks
- Recurrent Neural Networks (RNN)
- Long Short Term Memory (LSTM)
- Unsupervised Learning
- Principal Component Analysis (PCA)
- K-Means Clustering
- Auto-regression
- Self-Organizing Maps (SOM)
- Support Vector Machines (SVMs)
- Reinforcement Learning & Generative Adversarial Networks (GANs)
Unsupervised Learning – PCA
Dense Networks, RNN, LSTM
Unsupervised Learning – K-Means
Reinforcement Learning & GANs
- Free Consultations
- Simple-to-Use AI Platform
- Build Models in Minutes instead of Months