✅ Mathematics for ML: LINK ✅ Linear Regression: LINK ✅ Logistic Regression: LINK ✅ Data Science Basics: LINK1, LINK2 ✅ Isotonic Regression: LINK ✅ ML Metrics for Classification: LINK ✅ Categorical Variable Encoding: LINK ✅ Naive Bayes Classifier: LINK ✅ Dimensionality Reduction: LINK
✅ Entropy, Cross-Entropy: LINK ✅ Probability, Model Calibration: LINK ✅ Data Drift, Model Monitoring: LINK ✅ Dynamic Pricing Ecommerce: LINK ✅ Training Embeddings: LINK ✅ ANN in Recsys (Annoy): LINK ✅ ANN in Recsys (PQ): LINK ✅ Model-Based Twitter: LINK ✅ PID Controller: LINK
✅ Instagram’s Recsys: LINK ✅ Train NNs: LINK ✅ BERT for Embeddings: LINK ✅ Twitter’s Recommendation: LINK ✅ Model Compression: LINK ✅ Conversational AI (Chat-GPT): LINK ✅ Nature of Conversation LLMs: LINK ✅ Enhancing LLMs: LINK ✅ Falcon & LLAMA-2: LINK1, LINK2
✅ Supercharging LLama-2: LINK(1), (2) ✅ SRKGPT in Shahrukh’s Style: LINK ✅ LinkedIn’s CTR Modeling: LINK ✅ Meituan’s Two-Tower Recsys: LINK ✅ Twitter & Instagram Recsys: LINK ✅ Scalable Two-Tower: LINK ✅ Overcoming Biases in Recsys: LINK ✅ Evolution of Recsys: LINK ✅ Multi-Armed Bandit Strategies: LINK
✅ Uplift Modeling: LINK ✅ Netflix’s ML Model: LINK ✅ Netflix’s Calibrated Recoms: LINK ✅ Intro to GANs: LINK ✅ PySpark Essentials: LINK ✅ LinkedIn’s Budget Pacing: LINK ✅ Buyer-side Returns Fraud: LINK ✅ Combatting Counterfeit Fraud: LINK ✅ Transparent ML with GenAI: LINK ✅ Pinterest Ranking: LINK
✅ Mathematics for ML: LINK ✅ Linear Regression: LINK ✅ Logistic Regression: LINK ✅ Data Science Basics: LINK1, LINK2 ✅ Isotonic Regression: LINK ✅ ML Metrics for Classification: LINK ✅ Categorical Variable Encoding: LINK ✅ Naive Bayes Classifier: LINK ✅ Dimensionality Reduction: LINK
✅ Entropy, Cross-Entropy: LINK ✅ Probability, Model Calibration: LINK ✅ Data Drift, Model Monitoring: LINK ✅ Dynamic Pricing Ecommerce: LINK ✅ Training Embeddings: LINK ✅ ANN in Recsys (Annoy): LINK ✅ ANN in Recsys (PQ): LINK ✅ Model-Based Twitter: LINK ✅ PID Controller: LINK
✅ Instagram’s Recsys: LINK ✅ Train NNs: LINK ✅ BERT for Embeddings: LINK ✅ Twitter’s Recommendation: LINK ✅ Model Compression: LINK ✅ Conversational AI (Chat-GPT): LINK ✅ Nature of Conversation LLMs: LINK ✅ Enhancing LLMs: LINK ✅ Falcon & LLAMA-2: LINK1, LINK2
✅ Supercharging LLama-2: LINK(1), (2) ✅ SRKGPT in Shahrukh’s Style: LINK ✅ LinkedIn’s CTR Modeling: LINK ✅ Meituan’s Two-Tower Recsys: LINK ✅ Twitter & Instagram Recsys: LINK ✅ Scalable Two-Tower: LINK ✅ Overcoming Biases in Recsys: LINK ✅ Evolution of Recsys: LINK ✅ Multi-Armed Bandit Strategies: LINK
✅ Uplift Modeling: LINK ✅ Netflix’s ML Model: LINK ✅ Netflix’s Calibrated Recoms: LINK ✅ Intro to GANs: LINK ✅ PySpark Essentials: LINK ✅ LinkedIn’s Budget Pacing: LINK ✅ Buyer-side Returns Fraud: LINK ✅ Combatting Counterfeit Fraud: LINK ✅ Transparent ML with GenAI: LINK ✅ Pinterest Ranking: LINK
You can invite up to 200 people from your contacts to join your channel as the next step. Select the users you want to add and click “Invite.” You can skip this step altogether. Those being doxxed include outgoing Chief Executive Carrie Lam Cheng Yuet-ngor, Chung and police assistant commissioner Joe Chan Tung, who heads police's cyber security and technology crime bureau. Co-founder of NFT renting protocol Rentable World emiliano.eth shared the group Tuesday morning on Twitter, calling out the "degenerate" community, or crypto obsessives that engage in high-risk trading. The channel also called on people to turn out for illegal assemblies and listed the things that participants should bring along with them, showing prior planning was in the works for riots. The messages also incited people to hurl toxic gas bombs at police and MTR stations, he added. Hui said the time period and nature of some offences “overlapped” and thus their prison terms could be served concurrently. The judge ordered Ng to be jailed for a total of six years and six months.
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