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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Algorithm Data Science 393

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 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.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

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.

Deep Learning 40

Deep Learning Algorithm Explainability 40

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

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.

Data Science 393

Data Science 393

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.

Deep Learning 361

Deep Learning NLP Data Science 361

Analytics Vidhya

FEBRUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

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ML Engineer Data Scientist Deep Learning Data Science 336

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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NLP Data Science 343

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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ML Artificial Intelligence Artificial Intelligence Machine Learning 330

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Business Intelligence

Analytics Vidhya

FEBRUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making a very interesting application i.e. Color picker which have many use cases but the main use case of this application is that it can be widely used by UI/UX designer who has to pick the […]. The post Color Picker Application Using Computer Vision appeared first on Analytics Vidhya.

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Computer Vision UX Design Data Science Python 315

Analytics Vidhya

FEBRUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is the subfield of machine learning which uses a set of neurons organized in layers. A deep learning model consists of three layers: the input layer, the output layer, and the hidden layers. Deep learning offers several advantages over popular machine […].

Deep Learning 322

Deep Learning Machine Learning Data Science 322

Analytics Vidhya

FEBRUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Source – Insofe […]. The post Sentiment Analysis of IMDB Reviews with NLP appeared first on Analytics Vidhya.

NLP 312

NLP Data Science Data Analysis Python 312

Analytics Vidhya

FEBRUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction As a part of writing a blog on the ML topic, I selected a problem statement is Collaborative Filtering. This is a part of the recommendation systems, we have two techniques, In this bog we major focus on Collaborative-based filtering, this blog is […]. The post Introduction to Collaborative Filtering appeared first on Analytics Vidhya.

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Data Science ML Machine Learning 306

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

FEBRUARY 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn to train Bidirectional Encoder Representations from Transformers (BERT) in order to analyze the semantic equivalence of any two sentences, i.e. whether the two sentences convey the same meaning or not. The following aspects are covered in the […].

BERT 308

BERT Data Science 308

Analytics Vidhya

FEBRUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Hive is a data warehouse system built on top of Hadoop which gives the user the flexibility to write complex MapReduce programs in form of SQL- like queries. Performance Tuning is an essential part of running Hive Queries as it helps […]. The post Performance Tuning Practices in Hive appeared first on Analytics Vidhya.

Data Science 309

Data Science Machine Learning 309

Analytics Vidhya

FEBRUARY 23, 2022

This article was published as a part of the Data Science Blogathon. The basics of object detection problems are how the data would look like. Now, this article will discuss the different deep learning architectures that we can use to solve object detection problems. Let us first discuss the problem statement that we’ll be working […]. The post Blood Cell Detection in Image Using Naive Approach appeared first on Analytics Vidhya.

Deep Learning 302

Deep Learning Data Science Computer Vision Algorithm 302

Analytics Vidhya

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making a face detection application it will detect a single face in the image and detect multiple faces at the same time (if found), hence, the entire article will focus on Face detection using computer vision. […]. The post Let’s Learn Face Detection Using Computer Vision appeared first on Analytics Vidhya.

Computer Vision 302

Computer Vision Data Science 302

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

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. An end-to-end guide on Text generation using LSTM Source: develop-paper […]. The post Explaining Text Generation with LSTM appeared first on Analytics Vidhya.

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Explainability Data Science Data Mining Python 295

Analytics Vidhya

FEBRUARY 25, 2022

This article was published as a part of the blog. Table of Contents Introduction Working with dataset Import Count Vectorizer Import Support Vector Classifier Using Pipeline Save the model Prediction of new reviews using the model Conclusion Introduction In this article, we will be dealing with the Restaurant reviews dataset. In this dataset, there are reviews […].

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Algorithm ML Machine Learning 294

Analytics Vidhya

FEBRUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will build a Flask web app that can input any long piece of information such as a blog or news article and summarize it into just five lines! Text summarization is an NLP(Natural Language Processing) task. SBERT(Sentence-BERT) has […]. The post A Flask Web App for Automatic Text Summarization Using SBERT appeared first on Analytics Vidhya.

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Natural Language Processing BERT NLP Data Science 285

Analytics Vidhya

FEBRUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Source: Author, Paint Introduction The main idea of this article is to help you all understand the concept of Sentiment Analysis Deep Learning & NLP. Let’s try to understand this with the help of a case. Anirudh owns an e-commerce company-Universal for the […]. The post Sentiment Analysis with NLP & Deep Learning appeared first on Analytics Vidhya.

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Deep Learning NLP Data Science Python 288

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Analytics Vidhya

FEBRUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Following the #MeToo movement we had a lot of people opening up about their sexual harassment incidents, but as with any internet viral movement, it faded with time. However, this plethora of information can be used effectively to automatically classify abuse incidents into […].

Machine Learning 265

Machine Learning Data Science Data Analysis NLP 265

Analytics Vidhya

FEBRUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we shall explore the process of deriving the optimal coefficients for a simple logistic regression model. Most of us might be familiar with the immense utility of logistic regressions to solve supervised classification problems. Some of the complex algorithms that […].

Data Science 266

Data Science Algorithm Machine Learning 266

Analytics Vidhya

FEBRUARY 19, 2022

This article was published as a part of the Data Science Blogathon. A comprehensive guide on basic to advance SQL with examples […]. The post Structured Query Language (SQL) for All appeared first on Analytics Vidhya.

Data Science 261

Data Science Data Mining Data Analysis 261

Analytics Vidhya

FEBRUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Overview Machine Learning is one of the most widely used concepts around the world. It will be essential in the healthcare sectors which will be useful for doctors to fasten the diagnosis. In this article, we will be dealing with the Heart disease dataset […]. The post Heart Disease Prediction using Machine learning appeared first on Analytics Vidhya.

Machine Learning 255

Machine Learning Data Science Data Analysis 255

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

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Every supervised machine learning technique basically solves either classification or regression problems. Classification is a kind of technique where we classify the outcome into distinct categories whose range is usually finite. Whereas a regression technique involves predicting a real number whose range is […].

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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.

Computer Vision 40

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