| 301. | XAI Data Scientist User Journey | 426 | |
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| 302. | Non-Euclidean Universal Approximation | AISC | 425 | |
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| 303. | AISC | Women in AI | Dec 2019 | 423 | |
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| 304. | Explainable AI, Session 1: Introduction, Welcome & A Message from the Instructor | 422 | |
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| 305. | Machine Learning and Optimization - Deep Random Talks - Episode 17 | 420 | |
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| 306. | Operationalizing AI in Business at Scale | AISC | 420 | |
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| 307. | DeepFakes & Explainable AI Applications in NLP, Biomedical & Malware Classification | 419 | |
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| 308. | Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 8 | 416 | |
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| 309. | Swim Stroke Analytic: Front Crawl Pulling Pose Classification | AISC | 415 | |
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| 310. | AI Fariness and Adversarial Debiasing | 415 | |
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| 311. | ChemOS: An orchestration software to democratize autonomous discovery | AISC | 409 | |
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| 312. | Identifying Influential Individuals in Complex Networks: An Overview | AISC | 406 | |
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| 313. | Support Vector Machine (original paper) | AISC Foundational | 405 | |
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| 314. | Intro to Language Model Operations (LLM-Ops) | 403 | |
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| 315. | Quantifying the dynamics of failure across science, startups and security | AISC | 401 | |
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| 316. | Representation Learning of Histopathology Images using Graph Neural Networks | AISC | 399 | Vlog |
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| 317. | Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents | AISC | 397 | |
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| 318. | Efficient implementation of a neural network on hardware using compression techniques | 397 | |
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| 319. | Massive acceleration by using neural networks to emulate mechanism-based biological models | 393 | Vlog |
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| 320. | Learnability can be undecidable | AISC | 388 | |
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| 321. | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (discussions) | AISC | 384 | Discussion |
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| 322. | Symmetries in Deep Learning - Deep Random Talks - Episode 18 | 384 | |
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| 323. | Deep Temporal Logistic Bag-of-Features For Forecasting High Frequency Limit Order Book Time Series | 384 | |
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| 324. | Leveraging Language Models for Training Data Generation and Tool Learning | 384 | |
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| 325. | An eye on AI in Healthcare | AISC | 383 | |
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| 326. | Machine Learning Product Competitions - Winners' Roundtable Discussion | 383 | Discussion |
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| 327. | Layerwise Learning for Quantum Neural Networks | AISC | 380 | |
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| 328. | LLM Products vs Traditional Digital Products | 379 | |
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| 329. | AISC Abstract Night September Edition | AISC | 378 | |
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| 330. | Large Language Models as a Building Blocks | 378 | |
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| 331. | Inverse design of nanoporous crystalline reticular materials with deep generative models | AISC | 377 | |
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| 332. | Wind Farm Generator Condition Monitoring | 374 | |
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| 333. | Making of a conversational agent platform | AISC | 373 | |
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| 334. | Meet Claire: The AI That Turns Ideas Into Ready‑to‑Build Specs | 372 | |
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| 335. | Working Group on Landcover Classification Wrap-up + Spotlight | 371 | |
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| 336. | Explainable Classifiers Using Counterfactual Approach | AISC | 368 | |
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| 337. | LLMs in Production - A Costly Dilemma! | 364 | |
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| 338. | Building Ernie for Topic Modelling Using LLMs | 364 | |
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| 339. | Machine Learning for Cyber Security- Session 2 | 363 | |
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| 340. | Xun Wang (GEICO): 7 Job Profiles to Demystify the Data Science Career Landscape | 361 | |
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| 341. | Machine Learning for Forecasting Global Atmospheric Models | AISC | 360 | |
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| 342. | I Built an AI Coach that Analyzes Your Job Interviews Like a Real Coach | 359 | |
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| 343. | Machine Learning and Fraud Detection - Deep Random Talks - Episode 13 | 359 | |
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| 344. | explainX - Explainable AI for model developers | AISC | 359 | |
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| 345. | MLOps: Flask Iris Model Serving, Session 2, part 1 | 354 | |
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| 346. | MLOps: Creating an AWS account and GitHub account, Session 1, part 2 | 354 | |
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| 347. | Explainable AI, Session 3: Explainability Options | 354 | |
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| 348. | A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosi | 348 | |
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| 349. | Detecting Off-Topic Spoken Response with NLP | AISC | 346 | Let's Play |
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| 350. | [MOREL] Unsupervised Video Object Segmentation for Deep Reinforcement Learning | 345 | |
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| 351. | Predicting compound activity from phenotypic profiles | 344 | |
|
| 352. | Mathematics of Deep Learning: Linear Algebra II: matrices and eigendecomposition - Session 3 | 343 | |
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| 353. | Towards Frequency-Based Explanation for Robust CNN | AISC | 342 | |
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| 354. | An Introduction to the Quantum Tech Ecosystem | AISC | 342 | |
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| 355. | Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning | | 340 | |
|
| 356. | Machine Learning and Product Analytics - Deep Random Talks - Episode 12 | 337 | |
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| 357. | Real-World Quantum Communication: One Module at a Time | AISC | 337 | |
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| 358. | A Literature Review on ML in Health Care : Introducing new AISC Stream | AISC | 334 | Review |
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| 359. | The Messy Side of AI Products | AISC | 334 | |
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| 360. | Meet the MLOps Experts, a fireside chat for newcomers to AI careers | 334 | |
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| 361. | Discovering Symbolic Inductive Biases | AISC | 332 | |
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| 362. | Machine Learning Methods for High Throughput Virtual Screening with a focus on Organic Photovoltaics | 332 | |
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| 363. | See.Know.Bias - Using AI to Develop Media Literacy and Keep News Neutral | workshop capstone | 331 | |
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| 364. | LLM as Personal Financial Assistant | 331 | |
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| 365. | Women In AI Spring 2021 Showcase!!! | 330 | |
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| 366. | Overview of Bias and Fairness in AI | 329 | |
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| 367. | Application of Bayesian neural networks for aircraft safety | AISC | 328 | |
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| 368. | PandasAI - From Open Source to User-centric Products | 327 | |
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| 369. | The Emergence of KnowledgeOps | 326 | |
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| 370. | Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges | 326 | |
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| 371. | Mathematics of Deep Learning: Dropout- Session 10 | 326 | |
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| 372. | Location Intelligence Products: Goals and Challenges | AISC | 325 | |
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| 373. | Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs (algorithm) | AISC | 324 | Vlog |
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| 374. | The AI Design Sprint -- setting your AI Initiative up for delivery success! | AISC | 323 | |
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| 375. | EVE - Explainable Vector Embeddings - DRT S2E12 | 322 | |
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| 376. | The Summary Loop: Learning to Write Abstractive Summaries Without Examples + Demo | AISC | 322 | |
|
| 377. | An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph | AISC | 321 | |
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| 378. | TeslaSenti: Near real-time sentiment analysis of Tesla tweets | Workshop Capstone | 321 | |
|
| 379. | [GATA] Learning Dynamic Belief Graphs to Generalize on Text-Based Games | AISC | 319 | |
|
| 380. | Navigating the Idea Maze: Continuous discovery frameworks for (AI?) products | AISC | 317 | |
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| 381. | MLOps: Common Serialization Approaches, Session 2, part 1 | 317 | |
|
| 382. | Semi Supervised Learning - Session 13 | 316 | |
|
| 383. | An A-Z primer on the AI Product Lifecycle | AISC | 315 | |
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| 384. | Computer vision to deeply phenotype human diseases across physiological, tissue and molecular scales | 313 | Vlog |
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| 385. | Comparative Document Summarisation via Classification | AISC | 312 | |
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| 386. | Mathematics of Deep Learning: Gradient descent contd - Training - Session 12 | 311 | |
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| 387. | Security & Privacy in IoT | 311 | |
|
| 388. | Dirichlet Pruning for Neural Network Compression | AISC | 310 | |
|
| 389. | AI Agents & Game Development: Why ChatGPT Isn’t Enough for D&D (And What I Built Instead) | 308 | |
|
| 390. | Generative AI Tools and Adoption | 307 | |
|
| 391. | MLOps: Packaging Overview, Session 1, part 5 | 302 | |
|
| 392. | Author speaking: Proper Machine Learning Explanations through LIME using OptiLIME framework | AISC | 301 | |
|
| 393. | A machine learning and informatics program package for modeling of chemical and materials data | AIS | 300 | |
|
| 394. | Visualizing Data using t-SNE (discussions) | AISC Foundational | 300 | Discussion |
|
| 395. | Reinforcement Learning: Temporal Difference - Session 6 | 300 | |
|
| 396. | Machine Learning Product Management in the Insurance Industry | 298 | |
|
| 397. | This AI Tracks Your Finances, Answers Complex Money Questions & Plans Your Goals | 297 | |
|
| 398. | [original backprop paper] Learning representations by back-propagating errors (part2) | AISC | 296 | |
|
| 399. | Semi Supervised Learning - Session 2 | 296 | |
|
| 400. | ThinkGPT: Agent and Chain of Thought techniques for LLMs | 291 | |
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