June, 2022

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Most Frequently Asked Google Big Query Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].

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Closer to AGI?

O'Reilly Media

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. Not so many years ago, one problem with AI was that AI systems were only good at one thing.

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Design Patterns in Machine Learning Code and Systems

Eugene Yan

Understanding and spotting patterns to use code and components as intended.

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FIGS: Attaining XGBoost-level performance with the interpretability and speed of CART

BAIR

FIGS (Fast Interpretable Greedy-tree Sums): A method for building interpretable models by simultaneously growing an ensemble of decision trees in competition with one another. Recent machine-learning advances have led to increasingly complex predictive models, often at the cost of interpretability. We often need interpretability, particularly in high-stakes applications such as in clinical decision-making; interpretable models help with all kinds of things, such as identifying errors, leveraging

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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9 Great Reasons to Join the DataRobot AI Experience Virtual Event Jun 7-8

DataRobot Blog

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Ltd., financial services and healthcare leaders, and the McLaren Formula 1 Team.

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Top 5 Networking Predictions in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Networking Predictions The last two years were challenging for the whole world. Everything was affected, from business, and government to the economy. Considering network security and privacy, the hybrid working model brings new doubts to mind. In the last two years, […].

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Leading a movement to strengthen machine learning in Africa

DeepMind

Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares his journey to DeepMind and how he’s working to raise the profile of deep learning across Africa.

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Why You Should Write Weekly 15-5s

Eugene Yan

15 minutes a week to document your work, increase visibility, and earn trust.

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DALL·E 2 pre-training mitigations

OpenAI

In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we put various guardrails in place to prevent generated images from violating our content policy.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Once the model is successfully validated internally, the organization is able to productionize the model and use it to make business decisions.

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AI Could Defeat All Of Us Combined

Cold Takes

Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. I've been working on a new series of posts about the most important century. The original series focused on why and how this could be the most important century for humanity. But it had relatively little to say about what we can do today to improve the odds of things going well.

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Multi-Table Analysis with MYSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using. SQL queries are used for querying tables in the process of data analysis. […]. The post Multi-Table Analysis with MYSQL appeared first on Analytics Vidhya.

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Leading a movement to strengthen machine learning in Africa

DeepMind

Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares his journey to DeepMind and how he’s working to raise the profile of deep learning across Africa.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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4 Business AI Predictions for 2022-2023

Kavita Ganesan

AI as a field, especially in the context of real-world applications, has been progressing at a rapid pace. This has been further accelerated by the onset of the COVID-19 pandemic. In fact, AI was found to be the most discussed technology in 2021. Having worked with numerous clients, big and small, in the integration of AI, here are 4 Business AI predictions in 2022 and beyond. #1 Many more “deployed” models In the recent past, businesses have had trouble operationalizing models and have not seen

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Learning to play Minecraft with Video PreTraining

OpenAI

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions). Our model uses the native human interface of keypresses and mouse movements, making it quite general, and represents a step towards general computer-using agents.

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The AI Contribution to Decision-Making

DataRobot Blog

A loan application has a predicted likelihood of 80% of going bad – so what? Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. It is one of many features that a human would use to make a decision to accept or decline the application. Business rules set by the credit committee to control business risk and the loan portfolio also constrain accepting this application and advancing the loan.

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The Track Record of Futurists Seems. Fine

Cold Takes

Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. I've argued that the development of advanced AI could make this the most important century for humanity. A common reaction to this idea is one laid out by Tyler Cowen here : "how good were past thinkers at predicting the future? Don’t just select on those who are famous because they got some big things right." This is a common reason people give for being skeptical about the most important centur

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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All About Restaurant Recommender

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps. Challenges for these apps increase as they always want to keep […].

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BYOL-Explore: Exploration with Bootstrapped Prediction

DeepMind

We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-Explore is effective in DM-HARD-8, a challenging partially-observable continuous-action hard-exploration benchmark with visually-rich 3-D environ

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Introducing Span Categorization in Prodigy and spaCy

Explosion

In this video, we’ll show you how to use Prodigy for spaCy’s Span Categorizer. We’ll be annotating food recipes and looking into ways to help with consistent annotations and speed up the process with patterns and temporary models.

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Train, Validation, and Test sets in Machine Learning

James Thorn

Explained with an everyday example Continue reading on Medium »

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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No Code AI Apps: Time Series What-If Scenarios

DataRobot Blog

The last few years have been plagued with uncertainty, making it difficult to navigate everyday life, let alone plan and make thoughtful decisions for a business. When facing unprecedented challenges, it’s clearer than ever that while the predictions from your AI models are important, the insights we gather and leverage from them to inform the decisions we make are even more so.

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Techniques for training large neural networks

OpenAI

Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation.

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The DataHour: How to Transition into Data Science?

Analytics Vidhya

Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?

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BYOL-Explore: Exploration with Bootstrapped Prediction

DeepMind

We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-Explore is effective in DM-HARD-8, a challenging partially-observable continuous-action hard-exploration benchmark with visually-rich 3-D environ

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Meet A Teenage Lionel Messi

Dlabs.ai

We’re already halfway through the year. And we can’t help but feel amazed by everything that’s happened in AI in just six months. Take this week’s lead story as the perfect example. It rewinds the clock to see a young Leo Messi in his teenage years on his way to Barcelona for the first time — the thing is: the footage isn’t old. The ‘recording’ happened just a few months back.

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Google’s latest Language Model: LaMDA. A conscious machine or another marketing tool?

James Thorn

Reflections on machine intelligence Continue reading on Medium »

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How to Integrate DataRobot and Apache Airflow for Orchestration and MLOps Workflows

DataRobot Blog

We’re excited to announce DataRobot’s integration with Apache Airflow , a popular open source orchestration tool and workflow scheduler used by more than 12,000 organizations* across industries like financial services , healthcare , retail , and manufacturing. Airflow is a perfect tool to orchestrate stages of the DataRobot machine learning (ML) pipeline, because it provides an easy but powerful solution to integrate DataRobot capabilities into bigger pipelines, combine it with other servi

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