Analytics Vidhya

AUGUST 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […]. The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya.

Data Science 396

Data Science 396

DataRobot Blog

AUGUST 18, 2022

Supply chain and logistics industries worldwide lose over $1 trillion a year due to out-of-stock or overstocked items 1. Shifting demands and shipping difficulties make the situation worse. Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. The retail marketplace has become increasingly complex and competitive.

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AI AI Machine Learning Automation 98

Eugene Yan

AUGUST 13, 2022

Pushing back on the cult of complexity.

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DeepMind

AUGUST 17, 2022

We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.

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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

Analytics Vidhya

AUGUST 18, 2022

Dear Readers, Data Science is a vast subject, and the learning you can get is immense. And we at Analytics Vidhya always try to bring new learning topics and build up your skills. This time, we have not one, not two, but six new DataHour for you to attend. So, keep your notepad handy and […]. The post The DataHour: Your Upcoming Learning Timeline appeared first on Analytics Vidhya.

Data Science 389

Data Science Deep Learning Artificial Intelligence Artificial Intelligence 389

DataRobot Blog

AUGUST 16, 2022

If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. But even the best models cannot improve performance until they are put into production. What are companies actually doing today? Alexander Rode and Timm Grosser, analysts at the Business Application Research Center (BARC), decided to find out by surveying 248 companies from a variety of industries abo

Automation 52

Automation Software Development AI AI 52

DeepMind

AUGUST 17, 2022

We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.

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Analytics Vidhya

AUGUST 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. It provides organizations with […].

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Metadata ETL Categorization Big Data 365

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Contrast enhancement algorithms have evolved over the last few decades to meet the needs of its objectives. There are two main goals in enhancing an image’s contrast: (i) Improving its appearance for visual interpretation and (ii) facilitating/increasing the performance of subsequent tasks […].

Data Science 288

Data Science Algorithm Computer Vision Python 288

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Business Intelligence

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Impala is an open-source and native analytics database for Hadoop. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. If you want to learn all things Impala, you’ve come to the right place. source: -[link] It rapidly processes large […].

Data Science 288

Data Science Big Data 288

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Data science pipeline is the procedure and equipment used to compile raw data from many sources, evaluate it, and display the findings in a clear and concise manner. Businesses use the method to get answers to certain business queries and produce […]. The post Basic Introduction to Data Science Pipeline appeared first on Analytics Vidhya.

Data Science 281

Data Science Machine Learning 281

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction As an SQL Developer, you regularly work with enormous amounts of data stored in different tables that are present inside databases. This often becomes difficult to extract the information if it is not organized properly. We can solve this problem using Normalization by […].

Data Science 279

Data Science 279

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction Outlier detection is one of the widely used methods in any data science project, as its presence can lead to the development of a bad machine learning model. Let’s take a quick scenario of the linear regression problem statement, where suppose you […]. The post Dealing with outliers using the Z-Score method appeared first on Analytics Vidhya.

Data Science 278

Data Science Machine Learning 278

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

Analytics Vidhya

AUGUST 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction Almost every one of us nowadays is using YouTube, and it turned out to be fascinating to know how YouTube recommends videos in the same genre/type that we watched a day ago, an hour ago, or a minute ago. In the backend, […]. The post Build your Recommendation System using MLIB appeared first on Analytics Vidhya.

Data Science 277

Data Science Python 277

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Transformers were one of the game-changer advancements in Natural language processing in the last decade. A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […].

Data Science 279

Data Science Natural Language Processing NLP Deep Learning 279

Analytics Vidhya

AUGUST 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data cleaning is one area in the Data Science life cycle that not even data analysts have to do. Still, data scientists and their daily task are to clean the data so that machine learning algorithms will have the data good enough to […]. The post Template for Data Cleaning using Python appeared first on Analytics Vidhya.

Python 267

Python Data Scientist Data Science Machine Learning 267

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will introduce you to the big data ecosystem and the role of Apache Spark in Big data. We will also cover the Distributed database system, the backbone of big data. In today’s world, data is the fuel. Almost […]. The post Introduction to Apache Spark and its Datasets appeared first on Analytics Vidhya.

Big Data 275

Big Data Data Science Python 275

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

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we shall make an ML model in Python that will be able to add colors to old, washed-away, and faded images. In summary, we have to achieve the target of colorizing images using ML. What we are going to […]. The post Colorization of Faded Images appeared first on Analytics Vidhya.

Python 272

Python Data Science ML Computer Vision 272

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will explore the details of RESTful architecture, the merits of Fast API, and how to create a simple API with Fast API. But before that, we shall discuss some basics of APIs like their functionalities, uses, and architectures, […]. The post Getting Started with RESTful APIs and Fast API appeared first on Analytics Vidhya.

Data Science 270

Data Science Python Machine Learning 270

Analytics Vidhya

AUGUST 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Back in 2000, people used to purchase groceries from their local hypermarts. However, in the last 20 years, several online e-commerce stores have been launched. So, instead of going to a physical store, you can visit an online e-commerce store from the […]. The post Building a Content-Based Recommendation System appeared first on Analytics Vidhya.

Data Science 263

Data Science Python 263

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction Suppose you are working in an IT firm as a support desk specialist and receive hundreds of support tickets you have to handle daily. The first task you do with each ticket is to classify it into one of the categories you […]. The post Step-by-step Explanation of Text Classification appeared first on Analytics Vidhya.

Data Science 253

Data Science NLP Python Machine Learning 253

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Analytics Vidhya

AUGUST 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction When we started our data science journey the very first library that got our way was pandas and the very first function was read_csv(). But do we have only a CSV file to read? No right! This article will let you know […]. The post Different Ways of Loading Data using Python appeared first on Analytics Vidhya.

Python 233

Python Data Science Deep Learning 233

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction We, as a learner, are in the stage of analyzing the data mostly in the CSV format. Still, we need to understand that at the enterprise level, most of the work is done in real-time, where we need skills to stream live data. […]. The post Introduction to Spark Streaming appeared first on Analytics Vidhya.

Data Science 233

Data Science 233

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Speech impairments afflict millions of people with underlying reasons, including neurological or hereditary diseases, physical handicaps, brain damage, hearing loss, etc. Furthermore, the resulting speech patterns are diverse and complex, including stuttering, dysarthria, apraxia, etc., and adding to that; there is a […].

Data Science 231

Data Science NLP 231

DeepMind

AUGUST 17, 2022

We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.

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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