In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve, explain how these terms relate to AI and why it’s important to know about them. Show Notes: FREE Intro to CPMAI mini course CPMAI Training and Certification AI Glossary Glossary Series: Training Data, Epoch, Batch, Learning Curve Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU Glossary Series: Perceptron Glossary Series: Hidden Layer, Deep Learning Glossary Series: Loss Function, Cost Function & Gradient Descent Glossary Series: Backpropagation, Learning Rate, Optimizer Glossary Series: Feed-Forward Neural Network Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition AI Glossary Series – Machine Learning, Algorithm, Model AI Glossary Series – Model Tuning and Hyperparameter AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary Continue reading AI Today Podcast: AI Glossary Series – Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Validation, Validation Data, Test Data, Cross-Validation, explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Continue reading AI Today Podcast: AI Glossary Series – Model Validation, Validation Data, Test Data, and Cross-Validation at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Tuning and Hyperparameter, explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Continue reading AI Today Podcast: AI Glossary Series – Model Tuning and Hyperparameter at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level the terms OpenAI, GPT, DALL-E, and Stable Diffusion, and share why you should know these terms and how they relate to the overall AI landscape. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Continue reading AI Today Podcast: AI Glossary Series – OpenAI, GPT, DALL-E, Stable Diffusion at Cognilytica.

Large Language Models (LLMs) are all the rage these days. It’s hard to have a conversation about AI without ChatGPT, Google Bard, or LLMs being brought up. However, what if these LLMs could learn more about you individually and provide a much more hyperpersonalized experience and responses?! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Dmitry Shapiro who is CEO of YouAi. Continue reading AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi at Cognilytica.

Transformer models have proven to be especially powerful for Natural Language Processing applications and image generation, and have been popularized by models such as GPT-3, Stable diffusion, and BERT. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Transformer Networks, explain how these terms relate to AI and why it’s important to know about them. Continue reading AI Today Podcast – AI Glossary Series: Transformer Networks at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Boltzmann Machine, explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Continue reading AI Today Podcast: AI Glossary Series – Boltzmann Machine at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Decoder, AutoEncoder, Generative Adversarial Network (GAN), explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Continue reading AI Today Podcast: AI Glossary Series – Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convolutional Neural Network (CNN), explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Continue reading AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN) at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM), explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Continue reading AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) at Cognilytica.