Analytics Vidhya

FEBRUARY 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. Deciding on the correct price of a product is very important for the market success of a product. A new […]. The post Learn Mobile Price Prediction Through Four Classification Algorithms appeared first on Analytics Vidhya.

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O'Reilly Media

FEBRUARY 15, 2022

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

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Eugene Yan

FEBRUARY 17, 2022

I'm heading into a team lead role and would like to define the vision and roadmap.

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DeepMind

FEBRUARY 22, 2022

Multimodal Image-Language transformers have achieved impressive results on a variety of tasks that rely on fine-tuning (e.g., visual question answering and image retrieval). We are interested in shedding light on the quality of their pretrained representations--in particular, if these models can distinguish verbs or they only use the nouns in a given sentence.

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Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

DataRobot Blog

FEBRUARY 28, 2022

DataRobot is home to a treasure trove of Data Scientists. We’ve started a series called “Data Scientist Spotlight” as a way to meet the people behind the technology and introduce you to our great team. Introducing Alex Tsourmas. Alex works as a Customer-Facing Data Scientist within DataRobot’s Go-To-Market team, as the company continues to build its premier AI Cloud platform for organizations across the globe.

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Analytics Vidhya

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. There has been a debate in the industry between R and Tableau. Which is better is the question. Let us see this in today’s article. Source – Author What is Data Visualization? Data visualization is an interdisciplinary field that uses visual elements […]. The post Comparing R and Tableau for Data Visualisation appeared first on Analytics Vidhya.

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Bitext

FEBRUARY 15, 2022

How Synthetic Text can solve your training and evaluation problems for your virtual assistants / chatbots When shopping online, customers frequently have the need to modify their order: exchanging an item in the basket, deleting something already added… Customers ask for these kinds of changes in many different ways, like “how do I change my order?” or “I need to delete a product from my basket”.

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Eugene Yan

FEBRUARY 12, 2022

What to consider for in terms of data, roadmap, role, manager, tooling, etc.

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DeepMind

FEBRUARY 22, 2022

Multimodal Image-Language transformers have achieved impressive results on a variety of tasks that rely on fine-tuning (e.g., visual question answering and image retrieval). We are interested in shedding light on the quality of their pretrained representations--in particular, if these models can distinguish verbs or they only use the nouns in a given sentence.

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DataRobot Blog

FEBRUARY 16, 2022

“Integrated healthcare” has become a bit of a buzzword as of late, but no one has settled on just one definition for the term. A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. But if you break down these various definitions—and the hundreds of others that are out there— integrated care is collaborative and connected care.

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Applied Data Science

FEBRUARY 7, 2022

How to use OSRM to calculate distances reliably and for free. Photo by T.H. Chia on Unsplash Calculating distances between a set of coordinates is something that regularly comes up in Data Science projects. Whether it is planning routes for delivery services, or measuring a customer’s willingness to travel to certain locations, getting an accurate measure of distance is always key.

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Analytics Vidhya

FEBRUARY 25, 2022

This article was published as a part of the Data Science Blogathon. An end-to-end guide on building Information Retrieval system using NLP […]. The post Search Engines Using Deep Learning appeared first on Analytics Vidhya.

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OpenAI

FEBRUARY 2, 2022

We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Dlabs.ai

FEBRUARY 1, 2022

In the retail industry, you must analyze data to achieve the best results. This is where AI technology can help, as it unlocks many opportunities to optimize almost every aspect of any retail business. This article will cover the nine biggest benefits of using AI in retail. And how it will positively impact your business, employees, customers, even the environment.

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DeepMind

FEBRUARY 6, 2022

In our recent paper, we show that it is possible to automatically find inputs that elicit harmful text from language models by generating inputs using language models themselves. Our approach provides one tool for finding harmful model behaviours before users are impacted, though we emphasize that it should be viewed as one component alongside many other techniques that will be needed to find harms and mitigate them once found.

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DataRobot Blog

FEBRUARY 14, 2022

In the past decade, we’ve seen an explosion in the usage of AI. From predicting which customers are likely to churn to forecasting inventory demand, businesses are adopting AI more and more frequently. With any AI solution , you want it to be accurate. But just as important, you want it to be explainable. It can be difficult to convince stakeholders at your organization to trust a model, even if it’s 90% accurate, if it’s unclear how a model arrives at decisions.

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The Stanford AI Lab Blog

FEBRUARY 24, 2022

Deep models require a lot of training examples, but labeled data is difficult to obtain. This motivates an important line of research on leveraging unlabeled data, which is often more readily available. For example, large quantities of unlabeled image data can be obtained by crawling the web, whereas labeled datasets such as ImageNet require expensive labeling procedures.

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Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hey folks! Data science is an emerging technology in the corporate society and it mainly deals with the data. Applying statistical analysis to data and getting insights from it is our main objective. A company wil store millions of records for analysis. A […]. The post Statistical Inference Using Python appeared first on Analytics Vidhya.

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Explosion

FEBRUARY 7, 2022

Explosion is pleased to announce a new development services offering, spaCy Tailored Pipelines. We’ll build you a custom natural language processing pipeline, delivered in a standardized format using spaCy’s projects system.

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Eleuther.ai

FEBRUARY 2, 2022

Announcing GPT-NeoX-20B, a 20 billion parameter model trained in collaboration with CoreWeave.

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DeepMind

FEBRUARY 6, 2022

In our recent paper, we show that it is possible to automatically find inputs that elicit harmful text from language models by generating inputs using language models themselves. Our approach provides one tool for finding harmful model behaviours before users are impacted, though we emphasize that it should be viewed as one component alongside many other techniques that will be needed to find harms and mitigate them once found.

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Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

Kavita Ganesan

FEBRUARY 4, 2022

Oh, what will happen to our jobs when my company starts using AI? This is such a popular question that comes up when I give talks—even to a pseudo technical audience. Not surprisingly, this question will land sarcastic smiles on the faces of some data scientists and AI experts; you may even catch some eyes rolling. But it’s a valid question. Don’t forget, we had a US political candidate run for the presidency on the theme that automation is robbing people of good jobs and we should thus be compe

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The Stanford AI Lab Blog

FEBRUARY 22, 2022

The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) is being hosted virtually from February 22th - March 1st. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford.

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Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Logistic Regression If you are here, you are already introduced to the concept of logistic regression and probably have had your hands dirty working on different datasets. The scikitlearn’s LogisticRegression is by far the best tool to use for any logistic regression […].

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DataRobot Blog

FEBRUARY 21, 2022

The bar for AI keeps rising. Seventy-six percent of companies prioritize AI and machine learning (ML) over other IT initiatives, according to Algorithmia’s 2021 enterprise trends in machine learning report. With growing pressure on data scientists, every organization needs to ensure that their teams are empowered with the right tools. At the same time, the toolkit needs to meet enterprise needs and regulatory requirements.

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Data Analysis

Analytics Vidhya

FEBRUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Emotions are expressed through words, gestures, expressions, and with the ease of accessibility of social media today, emotions can now, also be expressed through tweets and Instagram/ WhatsApp stories. Through this article, we would try to analyze the underlying emotions of tweets posted […].

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Analytics Vidhya

FEBRUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Image: [link] Introduction Artificial Intelligence & Machine learning is the most exciting and disruptive area in the current era. AI/ML has become an integral part of research and innovations. The main objective of the AI system is to solve real-world problems where […].

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Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

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