Easy AI
Easy AI
"Easy AI" is a podcast that simplifies the complex world of artificial intelligence. Join us as we break down AI concepts, applications, and trends into easy-to-understand discussions. Whether you're a beginner or an expert, our show will make AI accessible and engaging for everyone. Tune in for insightful conversations, practical insights, and expert guests, all designed to demystify the world of artificial intelligence.
If you like this podcast, please consider buying me a coffee at https://ko-fi.com/jccrvn! Your donations allow me to continue this amazing project!
Note: This podcast is generated and spoken by AI.
Hosted on Acast. See acast.com/privacy for more information.
Categories: Technology
Listen to the last episode:
"Easy AI" is a podcast that simplifies the complex world of artificial intelligence. Join us as we break down AI concepts, applications, and trends into easy-to-understand discussions. Whether you're a beginner or an expert, our show will make AI accessible and engaging for everyone. Tune in for insightful conversations, practical insights, and expert guests, all designed to demystify the world of artificial intelligence.
Note: This podcast is generated and spoken by AI.
Hosted on Acast. See acast.com/privacy for more information.
Previous episodes
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49 - How to avoid overfittingThu, 28 Mar 2024 - 0h
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48 - Batch NormalizationThu, 21 Mar 2024 - 0h
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47 - LLM trainingThu, 14 Mar 2024 - 0h
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46 - Transformers in LLMsThu, 07 Mar 2024 - 0h
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45 - Self-Supervised LearningThu, 29 Feb 2024 - 0h
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44 - Fuzzy LogicThu, 29 Feb 2024 - 0h
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43 - Deep Learning vs Shallow LearningThu, 22 Feb 2024 - 0h
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42 - Reusing pretrained layersThu, 15 Feb 2024 - 0h
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41 - Neural Network EmbeddingsThu, 15 Feb 2024 - 0h
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40 - Checkpointing during trainingMon, 12 Feb 2024 - 0h
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39 - Machine Learning AlgorithmsThu, 08 Feb 2024 - 0h
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38 - Natural Language ProcessingThu, 01 Feb 2024 - 0h
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37 - Evolutionary ComputationWed, 31 Jan 2024 - 0h
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36 - Computer VisionThu, 25 Jan 2024 - 0h
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35 - Ethics in AIThu, 18 Jan 2024 - 0h
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34 - Support Vector MachinesThu, 11 Jan 2024 - 0h
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33 - AI in HealthcareThu, 11 Jan 2024 - 0h
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32 - Swarm IntelligenceMon, 08 Jan 2024 - 0h
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31 - Ensemble LearningMon, 08 Jan 2024 - 0h
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30 - Dimensionality ReductionMon, 08 Jan 2024 - 0h
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29 - Decision TreesMon, 08 Jan 2024 - 0h
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28 - Anomaly DetectionMon, 08 Jan 2024 - 0h
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27 - Autonomous VehiclesThu, 04 Jan 2024 - 0h
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26 - Convolutional Neural NetworkThu, 28 Dec 2023 - 0h
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25 - PerceptronThu, 21 Dec 2023 - 0h
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24 - Artificial General IntelligenceThu, 14 Dec 2023 - 0h
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23 - Bayesian NetworksSat, 09 Dec 2023 - 0h
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22 - Subsymbolic AIThu, 07 Dec 2023 - 0h
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21 - Symbolic AIThu, 30 Nov 2023 - 0h
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20 - Classification Convolutional NetworksMon, 27 Nov 2023 - 0h
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19 - Transformers Neural NetworksMon, 27 Nov 2023 - 0h
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18 - Overfitting and UnderfittingFri, 24 Nov 2023 - 0h
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17 - Transfer Learning in Neural NetworksThu, 23 Nov 2023 - 0h
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16 - Large Language ModelsThu, 23 Nov 2023 - 0h
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15 - Neural Networks in PhysicsTue, 21 Nov 2023 - 0h
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14 - Common Challenges in Neural Network TrainingTue, 21 Nov 2023 - 0h
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13 - Recurrent Neural NetworksTue, 21 Nov 2023 - 0h
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12 - Ethical Considerations in AISun, 19 Nov 2023 - 0h
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11 - Explainable AISun, 19 Nov 2023 - 0h
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10 - Generative Adversarial NetworksSun, 19 Nov 2023 - 0h
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9 - AutoencodersSun, 19 Nov 2023 - 0h
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8 - Reinforcement LearningThu, 16 Nov 2023 - 0h
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7 - AI and CreativityThu, 09 Nov 2023 - 0h
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6 - AI for CybersecurityThu, 09 Nov 2023 - 0h
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5 - AI in FinanceThu, 09 Nov 2023 - 0h
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4 - Robotics and AIThu, 09 Nov 2023 - 0h
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3 - AI Bias and FairnessThu, 09 Nov 2023 - 0h
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2 - Quantum Computing and AIThu, 09 Nov 2023 - 0h
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1 - Deep LearningWed, 08 Nov 2023 - 0h
