Analytics Vidhya

OCTOBER 25, 2021

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

AI Chatbots 383

AI Chatbots NLP Chatbots Python 383

fast.ai

OCTOBER 26, 2021

My colleague Dr Uri Manor was a senior author on a study in March this year which has become the most discussed paper in the history of Circulation Research and is in the top 0.005% of discussed papers across all topics. That’s because it got widely picked up by anti-vaxx groups that totally misunderstood what it says. Uri and I decided to set the record straight, and we wrote a paper that explains that “SARS-CoV-2 Spike Protein Impairment of Endothelial Function Does Not Impact Vaccine Safety”.

Explainability 59

Explainability 59

Eleuther.ai

OCTOBER 25, 2021

We perform a series of experiments using GPT-3 with decomposition to perform complex toy tasks that it is otherwise unable to solve. The goal of these experiments is to provide some preliminary evidence for the viability of factored cognition in real world models. For our synthetic task, we chose a series of various arithmetic tasks. Aside from the ease of generating examples, another advantage of arithmetic related task settings is GPT-3's inability to perform even simple mathematical operation

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Dlabs.ai

OCTOBER 25, 2021

September might just go down in DLabs.AI folklore. We ran the Hackuna Matathon 2021: an internal hackathon linked to our team-building meeting. So — if you want to learn: What we did Where we went What we worked on Who won You’ll find the answers right here. This is a lighter read, we hope you enjoy it The hackathon Most of the DLabs.AI team works remotely.

Automation 52

Automation Chatbots ML Python 52

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

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

Data Science 387

Data Science Python Machine Learning 387

James Thorn

OCTOBER 29, 2021

1st: The Bitcoin Blockchain, 2nd: Ethereum, 3rd… Continue reading on Medium »

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Explosion

OCTOBER 26, 2021

? fastText + Bloom embeddings for compact, full-coverage vectors with spaCy - GitHub - explosion/floret: ?

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Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon Introduction Autoencoders are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better […].

Neural Network 361

Neural Network Machine Learning Data Science Deep Learning 361

Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. The main benefit of statistics is that information is presented in an easy-to-understand format. Data processing is […].

Data Science 357

Data Science 357

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Business Intelligence

Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon Overview In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to mesh both the faces. In short, we will try to mesh the faces from two different images. We will […]. The post Face Mesh Application using OpenCV and dlib appeared first on Analytics Vidhya.

Data Science 371

Data Science Computer Vision Python 371

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […]. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

Data Science 345

Data Science Python 345

Analytics Vidhya

OCTOBER 27, 2021

This article was published as a part of the Data Science Blogathon A file is an essential data item stored in one’s computer. Each file can be characterized with its filename & file extension. Python programming language is capable of doing wonders and with time we see a lot of its applications in various domains. […]. The post Introduction to File Operations in Python appeared first on Analytics Vidhya.

Python 340

Python Data Science 340

Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction The problem of missing value is quite common in many real-life datasets. Missing value can bias the results of the machine learning models and/or reduce the accuracy of the model. This article describes what is missing data, how it is represented, and […]. The post All You Need To Know About Different Types Of Missing Data Values And How To Handle It appeared first on Analytics Vidhya.

Machine Learning 335

Machine Learning Data Science Python 335

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

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon Overview Data analysis provides insights from raw data which is used to support decision-making. Microsoft Excel is a simple, powerful, and one of the top tools for data analysis. This comprehensive guide will introduce you to the concepts of data analysis and present […]. The post A Comprehensive Guide on Advanced Microsoft Excel for Data Analysis appeared first on Analytics Vidhya.

Data Analysis 337

Data Analysis Data Science 337

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Pose detection is an active field of study in the field of computer vision. You can literally find hundreds of research papers and several models that try to solve the problem of pose detection. The reason why so many machine learning enthusiasts are […]. The post Human Pose Estimation Using Machine Learning in Python appeared first on Analytics Vidhya.

Machine Learning 335

Machine Learning Python Computer Vision Data Science 335

Analytics Vidhya

OCTOBER 24, 2021

This article was published as a part of the Data Science Blogathon Overview of Time Series Using Draft Imagine this! You work as a data scientist for a company that provides solutions to business. On a single day, your boss handovers two datasets with records of no air passenger(air-passenger) and milk produced by the cow(mainly […]. The post Time Series Forecasting Made Easy Using Darts appeared first on Analytics Vidhya.

Data Scientist 318

Data Scientist Data Science Python Machine Learning 318

Analytics Vidhya

OCTOBER 27, 2021

This article was published as a part of the Data Science Blogathon Overview of Flask As a Data Science Enthusiast, Machine Learning Engineer, or data science practitioner it is not up to create a machine learning model for the specific problem but presenting your solution to the audience, to a client so they can give […]. The post A Comprehensive Guide on using Flask for Data Science appeared first on Analytics Vidhya.

Data Science 323

Data Science Machine Learning Python 323

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

OCTOBER 25, 2021

This article was published as a part of the Data Science Blogathon Introduction Founded in 2008 Zomato is a major food delivery aggregator with a markdown cap of 1 Trillion INR. It started as Foodiebay, a restaurant recommendation product, at its peak, it has 35000 menus and Rs 60 Lakh monthly revenue. Foodiebay.com reroutes to zomato.com […].

Data Science 326

Data Science 326

Analytics Vidhya

OCTOBER 27, 2021

This article was published as a part of the Data Science Blogathon Why should we use Feature Engineering? Feature Engineering is one of the beautiful arts which helps you to represent data in the most insightful possible way. It entails a skilled combination of subject knowledge, intuition, and fundamental mathematical skills. You are effectively transforming […].

Data Science 315

Data Science Python Machine Learning 315

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Overview 1. Rapid Automatic Keyword Extraction(RAKE) is a Domain-Independent keyword extraction algorithm in Natural Language Processing. 2. It is an Individual document-oriented dynamic Information retrieval method. 3. Concept of RAKE is built on three matrices Word Degree (deg(w)), Word Frequency (freq(w)), Ratio of […].

Natural Language Processing 320

Natural Language Processing Algorithm Data Science NLP 320

Analytics Vidhya

OCTOBER 24, 2021

This article was published as a part of the Data Science Blogathon Introduction Emotion Detection, as the name suggests, means identifying the emotion behind any text or speech. Emotion detection is a must-do task in Natural Language Processing. Emotion detection is already implemented in various business tasks. Take an example of Twitter where millions of […].

Natural Language Processing 317

Natural Language Processing Data Science NLP Python 317

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Analytics Vidhya

OCTOBER 25, 2021

This article was published as a part of the Data Science Blogathon Introduction to Human Perception and Speech I am always fascinated by speech processing. In recent years I started to dig deep into Speech related subjects. So, I thought to write my experience and learnings over here. My objective here is to give you […]. The post A Comprehensive Insight into Human Perception and Speech appeared first on Analytics Vidhya.

Data Science 312

Data Science NLP 312

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Introduction Quite often we have a requirement to visualize categorical data in a dataset. For visualizing such a type of data, there are several different options to choose from like the pie charts, horizontal bar charts (that indicate percentages of the categories), waffle […].

Python 306

Python Categorization Data Science 306

Analytics Vidhya

OCTOBER 25, 2021

This article was published as a part of the Data Science Blogathon Why Neural Networks? How do Neural Networks do what they do? How does Forward Propagation work? Neural Networks can be thought of as a function that can map between inputs and outputs. In theory, no matter how complex that function is, neural networks […]. The post Feed Forward Neural Networks – Intuition on Forward Propagation appeared first on Analytics Vidhya.

Neural Network 305

Neural Network Data Science Deep Learning 305

Analytics Vidhya

OCTOBER 27, 2021

This article was published as a part of the Data Science Blogathon Overview This is the overview of the below article. 1. Introduction 2. What is an artificial neural network? 3. What is customer churn? 4. Customer churn dataset 5. Import libraries 6. Load dataset 7. Preprocess the dataset 8. Checking null values 9. Handling […]. The post Customer Churn Prediction Using Artificial Neural Network appeared first on Analytics Vidhya.

Neural Network 306

Neural Network Data Science Python Machine Learning 306

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

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon The objective of any machine learning model is to understand and learn patterns from the data which can further be used to make predictions or answer questions or simply just understand the underlying pattern that is otherwise not evident candidly. Most of the […]. The post End-to-End Introduction to Evaluating Regression Models appeared first on Analytics Vidhya.

Machine Learning 289

Machine Learning Data Science Python 289

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Introduction Instance-based learning is an important aspect of supervised machine learning. It is a way of solving tasks of approximating real or discrete-valued target functions. The modus operandi of this algorithm is that the training examples are being stored and when the test […].

Algorithm 287

Algorithm ML Machine Learning Data Science 287

Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Hello there, guys! Good day, everyone! Today, we’ll look at Polynomial Regression, a fascinating approach in Machine Learning. For understanding Polynomial Regression Model, we’ll go over several fundamental terms including Machine Learning, Supervised Learning, and the distinction between regression and classification.

Machine Learning 296

Machine Learning Data Science Python 296