Analytics Vidhya

JANUARY 4, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the famous Pima Indians Diabetes Database. Image […]. The post Diabetes Prediction Using Machine Learning appeared first on Analytics Vidhya.

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O'Reilly Media

JANUARY 11, 2022

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

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Prompt Engineer Prompt Engineering Natural Language Processing AI 121

Jay Alammar

JANUARY 2, 2022

Discussion: Discussion Thread for comments, corrections, or any feedback. Translations: Korean , Russian Summary : The latest batch of language models can be much smaller yet achieve GPT-3 like performance by being able to query a database or search the web for information. A key indication is that building larger and larger models is not the only way to improve performance.

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BERT Large Language Models Explainability Machine Learning 98

Eugene Yan

JANUARY 18, 2022

Beyond getting that starting role, how does one continue growing in the field?

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Machine Learning 100

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

Shreyansh Singh

JANUARY 23, 2022

Quite a while back, I had written a post in which I described how to package your Machine Learning models using Docker and deploy them using Flask. This post, through a PoC, describes - How to package your model using Docker (similar as last post ) How to push the Docker container to Amazon ECR Add a Lambda Function for your model Make a REST API using Amazon API Gateway to access your model Automate the whole process using Github Actions, so that any updates to the model can take effect immedia

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Machine Learning Python Automation ML 64

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. The post Analysis of Zero Crossing Rates of Different Music Genre Tracks appeared first on Analytics Vidhya.

Data Science 397

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OpenAI

JANUARY 27, 2022

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API.

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Dlabs.ai

JANUARY 28, 2022

The market for artificial intelligence-based solutions in retail is expected to hit $24.1 billion by 2028. Why such growth? Well. Artificial intelligence helps retailers analyze big data , meaning they can run better marketing campaigns, improve logistics, and, of course, optimize prices. And given that price is a crucial factor in the customer’s buying decision, accurate pricing is hugely valuable to any business.

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Kavita Ganesan

JANUARY 27, 2022

This is a guest post from Andrew Ferlitsch, author of Deep Learning Patterns and Practices. It provides an introduction to deep neural networks in Python. Andrew is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to m

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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?

Business Intelligence

Sebastian Ruder

JANUARY 24, 2022

Credit for the title image: Liu et al. (2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). In this post, I will cover the papers and research areas that I found most inspiring. I tried to cover the papers that I was aware of but likely missed many relevant ones. Feel free to highlight them as well as ones that you found inspiring in the comments.

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DeepMind

JANUARY 17, 2022

In our recent paper we explore how multi-agent deep reinforcement learning can serve as a model of complex social interactions, like the formation of social norms. This new class of models could provide a path to create richer, more detailed simulations of the world.

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Analytics Vidhya

JANUARY 6, 2022

Introduction Data science is a collaborative scientific field of computing that has grown many folds in recent years and has become the powerhouse behind the business decisions made by organizations in today’s time, be it the FAANG’s or early-stage startups. As the field has grown, so have the number of individuals pursuing this domain and […].

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Applied Data Science

JANUARY 17, 2022

Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash ? Full Stack Data Scientist: Part 7— How to set up a Slack Bot for instant, automatic notifications Dashboards are the most popular way of presenting data in businesses —  but they’re not the only way ! There are times when users need to be immediately notified when something happens. For example… ?

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Data Science Data Scientist AI AI 52

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Dlabs.ai

JANUARY 12, 2022

I, for one, can barely remember a world without the internet. In truth, I can scarcely remember life without a smartphone. Looking at the stats, I think it’s fair to say many people are in the same boat. Source: StatCounter Global Stats – Platform Comparison Market Share Given the trajectory we’re on, we’re unlikely to see a drop in the need for developers (of all kinds) any time soon, and the below studies attest to that: ​​According to Solving the U.K.

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Explainability 52

James Thorn

JANUARY 8, 2022

How to deploy Machine Learning models that can serve thousands of users Continue reading on Science x Engineering »

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Machine Learning Data Science Artificial Intelligence Artificial Intelligence 52

The Stanford AI Lab Blog

JANUARY 21, 2022

This work was conducted as part of SAIL and CRFM. Deep learning has enabled improvements in the capabilities of robots on a range of problems such as grasping 1 and locomotion 2 in recent years. However, building the quintessential home robot that can perform a range of interactive tasks, from cooking to cleaning, in novel environments has remained elusive.

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DeepMind

JANUARY 24, 2022

We believe artificial intelligence (AI) is one of the most significant technologies of our age and we want to help people understand its potential and how it’s being created.

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Artificial Intelligence Artificial Intelligence AI AI 57

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

JANUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction A language model in NLP is a probabilistic statistical model that determines the probability of a given sequence of words occurring in a sentence based on the previous words. It helps to predict which word is more likely to appear next in the […]. The post Building Language Models in NLP appeared first on Analytics Vidhya.

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NLP Data Science 394

Applied Data Science

JANUARY 4, 2022

Infectious research ideas, game-changing applications and four awkward moments… Sipping a warm cup of tea and zoning out to candy-coated thoughts? Hiding your 2021 resolution list under a glass of champagne? Trying to make a summary of what happened in the world of AI out of a long and vague chain of events? You’re not alone! To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ?

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Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Explosion

JANUARY 31, 2022

Using spaCy and other packages from the NLP ecosystem for analyzing more than 382,000 headlines to see how women are represented (or misrepresented) in the news.

NLP 40

NLP 40

Analytics Vidhya

JANUARY 13, 2022

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

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NLP Data Science Python 395

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Analytics Vidhya

JANUARY 15, 2022

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. In trying to achieve […]. The post Overview of MLOps With Open Source Tools appeared first on Analytics Vidhya.

Data Science 392

Data Science ML 392

Analytics Vidhya

JANUARY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction With the advent of social media, a lot of data has been generated and is being generated. This data corresponds to either the opinion of people on political matters, on products they use, or on the services they use from companies. Mining this […]. The post Interactive Tweet Sentiment Visualization appeared first on Analytics Vidhya.

Data Science 393

Data Science NLP 393

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

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NLP Natural Language Processing Data Science Neural Network 390

Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

Data Science 383

Data Science 383

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Analytics Vidhya

JANUARY 11, 2022

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 7, 2022

Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ. This article will discuss some of the features and applications of data warehouses, data marts, and data […].

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Data Mining 375

Analytics Vidhya

JANUARY 17, 2022

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform. The different layers of the data platform architecture that we are […]. The post Layers of the Data Platform Architecture appeared first on Analytics Vidhya.

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