300 episodes
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion AI & Data Today
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- Technology
Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence. Hosts Kathleen Walch and Ron Schmelzer discuss pressing topics around artificial intelligence with easy to digest content, interview guests and experts on the subject, and cut through the hype and noise to identify what is really happening with adoption and implementation of AI.
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AI Glossary Series - Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN)
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? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and Certification
Suggested Reading List
AI Glossary
Glossary Series: Recognition Systems, Computer Vision, ImageNet
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: Convolutional Neural Network (CNN)
Understanding The Recognition Pattern of AI
The Good, Bad, and Ugly of Facial Recognition -
AI Glossary Series - Convolutional Neural Network (CNN)
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? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and Certification
Suggested Reading List
AI Glossary
Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
Glossary Series: Recognition Systems, Computer Vision, ImageNet
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: Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM)
Glossary Series: Pattern Recognition
Glossary Series: Recognition Systems, Computer Vision, ImageNet
Understanding The Rec... -
AI Glossary Series - Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM)
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? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and Certification
Suggested Reading List
AI Glossary
Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
Glossary Series: Recognition Systems, Computer Vision, ImageNet
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 -
AI Glossary Series - Feed-Forward Neural Network
Usually used as a simple example for how deep learning neural networks work, a feed-forward neural network is the most basic, “vanilla” general kind of neural network. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Feed-Forward Neural Network, 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? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and Certification
Suggested Reading List
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 -
AI Glossary Series - “Ground Truth” Data and Synthetic Data
In order for machine learning systems to work, they need to be trained on data. But there are different types of data and depending on the situation you may want to use one type of data over another, or a combination of different types. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms “Ground Truth” Data and Synthetic Data, 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? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and Certification
Suggested Reading List
AI Glossary
Glossary Series: Training Data, Epoch, Batch, Learning Curve
An Overview of the Data Labeling Market (Cognilytica Market Intelligence)
An Overview of the Synthetic Data Market (Cognilytica Market Intelligence)
Data Labeling Snapshot Dec 2021
AI Today Podcast #86: Insights into Data Preparation and Labeling for AI
The Achilles’ Heel Of AI
AI Today Podcast: The Expanding Data Infrastructure Layer
AI Today Podcast: AI Education Series: Data Preparation for AI -
AI Glossary Series - Pre-Trained Model and Transfer Learning
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-Trained Model and Transfer Learning, 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? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.
Show Notes:
FREE Intro to CPMAI mini course
CPMAI Training and Certification
Suggested Reading List
AI Glossary
AI Glossary Series - Machine Learning, Algorithm, Model
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