AI Today Podcast

AI & Data Today
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Jul 19, 2023 • 9min

AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML)

Many organizations want to do AI, but the technical skills needed can present a challenge. Not all organizations have data scientists on hand. Yet, many organizations still want to benefits of AI. In recent years there have been tools and platforms created to help automate many of the aspects of building and developing ML models that previously required very specialized skills and talent.Continue reading AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML) at Cognilytica.
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Jul 14, 2023 • 17min

AI Today Podcast: AI Glossary Series – Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle, explain how these terms relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Bias, Weight, Activation Function, Convergence, ReLUGlossary Series: PerceptronGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkAI Glossary Series – Machine Learning, Algorithm, ModelContinue reading AI Today Podcast: AI Glossary Series – Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle at Cognilytica.
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Jul 12, 2023 • 15min

AI Today Podcast: AI Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Development Languages: Python, R, Julia, Scala, explain how these terms relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkAI Glossary Series – Machine Learning, Algorithm, ModelAI Glossary Series – Model Tuning and HyperparameterAI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance TradeoffContinue reading AI Today Podcast: AI Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala at Cognilytica.
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Jul 7, 2023 • 13min

AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms DevOps, Machine Learning Operations (ML Ops), explain how these terms relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Data Drift, Model Drift, Model RetrainingGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerContinue reading AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops) at Cognilytica.
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Jul 5, 2023 • 11min

AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining

Data is the heart of AI. Which is why having good, clean data is so critical. But what happens when your data changes of over? What does that do to your models? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the terms Data Drift, Model Drift, and Model Retraining.Continue reading AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining at Cognilytica.
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Jun 30, 2023 • 17min

AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS), explain how these terms relates to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Training Data, Epoch, Batch, Learning CurveGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Bias, Weight, Activation Function, Convergence, ReLUGlossary Series: PerceptronGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkGlossary Series: OpenAI, GPT, DALL-E, Stable DiffusionGlossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionAI Glossary Series – Machine Learning, Algorithm, ModelAI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path AnalyticsThis episode is sponsored by Algolia: Algolia Powers Discovery.Continue reading AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS) at Cognilytica.
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Jun 28, 2023 • 20min

AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, and Hot-Path Analytics, explain how these terms relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Training Data, Epoch, Batch, Learning CurveGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Bias, Weight, Activation Function, Convergence, ReLUGlossary Series: PerceptronGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkGlossary Series: OpenAI, GPT, DALL-E, Stable DiffusionGlossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionAI Glossary Series – Machine Learning, Algorithm, ModelAI Glossary Series – Model Tuning and HyperparameterAI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance TradeoffAI Glossary Series: OperationalizationInterview with Alex Measure, BLSThis episode is sponsored by Algolia: Algolia Powers Discovery.Continue reading AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics at Cognilytica.
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Jun 23, 2023 • 12min

AI Today Podcast: AI Glossary Series – Operationalization

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Operationalization, explain how this term relates to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Training Data, Epoch, Batch, Learning CurveGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Bias, Weight, Activation Function, Convergence, ReLUGlossary Series: PerceptronGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkGlossary Series: OpenAI, GPT, DALL-E, Stable DiffusionGlossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionAI Glossary Series – Machine Learning, Algorithm, ModelFor more information on visit Algolia websiteFREE CPMAI Intro Course Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionGlossary Series: Tokenization, VectorizationThis episode is sponsored by Algolia: Algolia Powers Discovery.Continue reading AI Today Podcast: AI Glossary Series – Operationalization at Cognilytica.
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Jun 21, 2023 • 14min

AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Digital Transformation, Return on Investment (ROI), and Key Performance Indicator (KPI), explain how these terms relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryFor more information on visit Algolia websiteGlossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionGlossary Series: Tokenization, VectorizationThis episode is sponsored by Algolia: Algolia Powers Discovery.Continue reading AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI) at Cognilytica.
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Jun 19, 2023 • 28min

AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia

In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer get to talk to Sean Mullaney who is the Chief Technology Officer (CTO) at Algolia. We discuss how AI is revolutionizing e-commerce. Sean shares how vectorization is being used to enhance the relevance and personalization of search results for e-commerce businesses.Continue reading AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia at Cognilytica.

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