I'm excited to be speaking at the @teamrework's Deep Learning Hybrid Summit in San Francisco, join me virtually or in-person: #DeepLearning #AI #reworkDL. Register using my code SPEAKERINVITE15 for 15% discount!

RT @jigyasa_grover: 𝗪𝗮𝗻𝗻𝗮 𝘀𝗽𝗲𝗻𝗱 𝟮𝗵 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸𝗲𝗻𝗱 𝘁𝗼 𝗹𝗲𝘃𝗲𝗹 𝘂𝗽? 🪜. I am sharing a unique link to my @LinkedIn course that'll unlock it for you….

RT @jigyasa_grover: PEOPLE OF AI podcast @google🎙️. Such an interesting discussion talking about social responsibility, innovation vs ethic….

RT @GoogleOSS: Meet machine learning specialist @jigyasa_grover, a former Google Summer of Code contributor and later, mentor. Jigyasa was….

Link to the research paper:

This study serves as a powerful reminder: sometimes, less is more when it comes to model deployment! . What’s your take—can lightweight models still win the AI race? Let’s discuss!. #MachineLearning #AI #LLM #TechInnovation #DataScience #NLP #GPT4 #XGBoost.

Key takeaways: . -> Task: News trustworthiness classification .-> Models Compared: XGBoost + Electra vs. GPT-4 & LLAMA 2. -> Result: XGBoost + Electra outperformed GPT-4 and LLAMA 2 in F-1 score. -> Efficiency: XGBoost is significantly smaller and requires less memory & compute.

. as a core component to fine-tune the models—where categories like ‘comedy’ and ‘wellness’ were classified as tabloid news, making this a real-world challenge!. link to the dataset:

𝗖𝗮𝗻 𝗮 𝗰𝗹𝗮𝘀𝘀𝗶𝗰 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹 𝗼𝘂𝘁𝘀𝗺𝗮𝗿𝘁 𝗚𝗣𝗧-𝟰 𝗶𝗻 𝘁𝗲𝘅𝘁 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻? You might be surprised by the answer from a new study from @Stanford and @ucl!. What’s exciting? Researchers leveraged my 𝗡𝗲𝘄𝘀 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝘆 𝗗𝗮𝘁𝗮𝘀𝗲𝘁.

Beyond this, there is so much more personalization magic happening behind the scenes - stay tuned 🪄. Read the full blog here: #MachineLearning #RecommenderSystems #ContentPersonalization #AI #ECommerce #Retail #TechBlog #AdTech.

Our system is designed to handle massive scale, ensuring real-time recommendations for 500M+ subscribers! The blog post also covers some of the highlights from our 0 → 1 journey of building an advanced deep learning model.

focused on creating even more engaging and relevant shopping experiences for our customers 🛍️. We have embraced a two-tower deep learning model that leverages expansive user and item attributes, enabling us to deliver more accurate & personalized recommendations.

Thrilled to share the evolution of our personalized recommendation system at @attentiveHQ through the latest tech blog post! . I spearheaded the transition from a traditional collaborative filtering model to a cutting-edge deep learning system.

Whether you're a seasoned data scientist or just starting, this is a good read to truly grasp how MLE helps us model uncertainty and make data-driven decisions with precision💡. 🔗 #MachineLearning #Statistics #AI #PredictiveModeling #ML #MLE.

If you're diving deep into #DataScience, you've probably come across the concept of Maximum Likelihood Estimation (MLE). But how do you apply it in the real world? 🤔. I recently published an article with @TDataScience that breaks down the fundamentals of MLE in simple terms.

🔓Unlock the next level of #personalization with #GenerativeAI! From real-time personalized campaigns to deeper consumer insights, it's changing the game🚀 . Ready to dive into the future? Check out my latest article w/ @jigyasa_grover: #AI #technology.

#GenAI is revolutionizing how we create and interact with content. 🚀 Curious about how it works and its potential? Dive into this latest article that breaks down the basics and explore the future of #AI driven creativity!💡#MachineLearning #GenerativeAI

If you’re looking for some personalized advice or just want to chat about your next steps in the #ML / #AI space, feel free to reach out — here to help! . Let’s make your career goals happen 🚀 #CareerGuidance #InterviewPrep #ArtificialIntelligence.

Thrilled to share the amazing feedback I have been receiving for my #MachineLearning interview and career prep sessions! It’s been incredible helping so many talented folks navigate their career paths and land their dream roles.

RT @TDataScience: Introduction to Support Vector Machines — Motivation and Basics.Learn basic concepts that make Support Vector Machine a p….

I wrote a blog post on one the techniques that needs to be in everyone’s tool-bag especially people who aspire to be a data scientist one day. In this post, you will learn about the well-regarded supervised machine learning algorithm SVM. Here's the link: