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 400

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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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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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 Science Python Data Scientist Machine Learning 52

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.

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 400

Data Science 400

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 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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Deep Learning NLP Data Science 376

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 337

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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Generative AI

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 323

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 […].

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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.

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NLP Data Science Data Analysis Python 320

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.

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Data Science Machine Learning 320

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.

LLM

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 […].

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BERT Data Science 313

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.

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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 306

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.

Data Science 305

Data Science ML Machine Learning 305

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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 303

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 303

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 302

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 […].

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Data Science Algorithm Machine Learning 288

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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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 […].

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Machine Learning Data Science Data Analysis NLP 271

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.

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Data Analysis

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.

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Machine Learning Data Science Data Analysis 270

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.

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Computer Vision Data Science 312