Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello everyone! While cyberpunk has not yet entered our lives that much, and neuro interfaces are far from ideal, LiDAR can become the first stage on the path to the future of manipulators. Therefore, in order not to get bored during the holidays, […]. The post Hand Pose Estimation based on LiDAR in 30 minutes appeared first on Analytics Vidhya.

Data Science 382

Data Science Computer Vision Python 382

Bitext

SEPTEMBER 3, 2021

Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis, and is based on statistical and mathematical models. Linguistic approaches , which are based on knowledge of language and its structure, are far less frequently used. These two approaches are often seen as alternative or competing approaches.

Machine Learning 52

Machine Learning Big Data Chatbots AI 52

fast.ai

SEPTEMBER 2, 2021

Summary : By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

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Explosion

SEPTEMBER 1, 2021

Since founding Explosion in 2016, we’ve run the company as a profitable business. This stable platform has helped spaCy grow to one of Python’s most popular open-source projects. We’ve funded spaCy from sales of our annotation tool Prodigy , which we’ve now sold to over 500 companies, with thousands of customers in total. The next step for Explosion is Prodigy Teams: a hosted version that adds collaboration and production stability features, while maintaining the data privacy and programmability

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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

SEPTEMBER 3, 2021

This article was published as a part of the Data Science Blogathon What if you could simply talk or converse with a computer just the way you talk to a human? Sounds impressive, doesn’t it? Natural Language Processing helps us do just that! Natural language processing (NLP) can be thought of as an intersection of Linguistics, […]. The post Essential Text Pre-processing Techniques for NLP!

NLP 388

NLP Natural Language Processing Data Science Python 388

NLPhilia

AUGUST 31, 2021

…then it isn’t NLP, it’s science. Right? A 21-yr-old student reacted with severe anxiety in test-taking situations. She was successfully treated by cue-controlled relaxation methods. The procedure involved (1) training in deep-muscle relaxation, and (2) pairing of breath exhalations while relaxed, with a self-produced cue word—“calm”.

NLP 40

NLP 40

Explosion

SEPTEMBER 1, 2021

Since founding Explosion in 2016, we’ve run the company as a profitable business and we decided to only consider external investment if we could find a deal that wouldn’t compromise the direction or stability of the company. We’re pleased to announce that we’ve found an investment that ticks all the boxes.

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Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon We are using Jupyter notebook to run our code. We suggest following this tutorial on Google Colaboratory. You can check out this link for more info about its usage. To follow through this tutorial prior knowledge of PyTorch and python programming is assumed. No […]. The post Linear Regression and Gradient Descent in PyTorch appeared first on Analytics Vidhya.

Python 374

Python Data Science Algorithm Machine Learning 374

Analytics Vidhya

AUGUST 30, 2021

This article was published as a part of the Data Science Blogathon Hello readers! In this article, I am going to discuss one of the most essential parts of Apache Spark called RDD. Before getting into Spark RDD, I strongly recommend you to read my article, Understand the internal working of Apache Spark to get an overview of […]. The post Understanding the Basics of Apache Spark RDD appeared first on Analytics Vidhya.

Data Science 374

Data Science Python Machine Learning 374

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Business Intelligence

Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Object detection is one of the popular applications of deep learning. Let’s start by considering a real-life example. Most of you would have used Google Photos in your phone, which automatically categorizes your photos into groups based on the objects present in them under […].

Categorization 357

Categorization Deep Learning Data Science Computer Vision 357

Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Introduction Data structures refer to the pattern of data arrangement on a disK that allows for convenient storage and display in the computing domain. They are related to the field of data science, which is expected to be a lucrative career choice in 2021. […]. The post Trees in Data Structure Every Data Scientist Should Know About appeared first on Analytics Vidhya.

Data Scientist 355

Data Scientist Data Science 355

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction In today’s world, the communication network is expanding at a very fast rate. Businesses are going digital to improve management efficiency. The amount of data generated on the internet is increasing, and as a result, datasets are becoming more complex. It is important […].

Explainability 346

Explainability Data Science Python 346

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon TABLE OF CONTENTS Introduction Understanding BERT What is Bert Difference From Word2Vec BERT Training BERT Model Variations Implementing BERT in Tensorflow Downloading Model Creating Data Preprocessing Input Encoding To Create Embeddings Understanding Embeddings(using keys) Conclusion References As one can see it will be a […].

BERT 339

BERT Data Science NLP Python 339

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 28, 2021

This article was published as a part of the Data Science Blogathon Overview: Machine Learning (ML) and data science applications are in high demand. When ML algorithms offer information before it is known, the benefits for business are significant. Integrating machine learning algorithms for inference into production systems is a technological barrier.

ML 339

ML Machine Learning Data Science Algorithm 339

Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Image 1 Overview: This article is a walkthrough of basic Git and GitHub concepts for beginners. Table of contents: What is Version Control System (VCS)? Types of VCS Difference between Git and GitHub Installation of Git Git operations and commands What is Version Control […]. The post Git and GitHub Tutorial for Beginners appeared first on Analytics Vidhya.

Data Science 335

Data Science 335

Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon Introduction Till now we have learned about linear regression, logistic regression, and they were pretty hard to understand. Let’s now start with Decision tree’s and I assure you this is probably the easiest algorithm in Machine Learning. There’s not much mathematics involved here. Since […].

Algorithm 346

Algorithm Data Science Machine Learning 346

Analytics Vidhya

SEPTEMBER 1, 2021

Overview What is Data Visualization How to choose the right chart for your data visualization By the end of this article, you will learn “How to choose the right chart for data visualization” Introduction I love data visualization. The complete amount of knowledge it conveys to the audience in such a limited space is […]. The post How to choose the Right Chart for Data Visualization appeared first on Analytics Vidhya.

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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

SEPTEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to show the process of working with time series from data processing to building neural networks and validating the results. As an example, financial series was chosen as completely random and in general, it is interesting if […]. The post Forecasting Financial Time Series – A Model of MLP in Keras appeared first on Analytics Vidhya.

Neural Network 335

Neural Network Data Science Deep Learning Python 335

Analytics Vidhya

SEPTEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Introduction Optuna is a state-of-the-art automatic hyperparameter tuning framework that is completely written in Python. It is widely and exclusively used by the Kaggle community for the past 2 years and since the platform has such competitiveness, and for it to achieve such domination, […].

Python 329

Python Data Science Deep Learning 329

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon “IF YOU ARE NOT TAKING CARE OF YOUR CUSTOMERS, YOUR COMPETITOR WILL” – Bob Hooey Overview: Customer Lifetime Value is the profit that a business will make from a specific customer over the period of their association with the business. Every industry has […].

Python 326

Python Data Science Machine Learning 326

Analytics Vidhya

AUGUST 31, 2021

This article was published as a part of the Data Science Blogathon What are Tensorflow Callbacks? Tensorflow callbacks are functions or blocks of code which are executed during a specific instant while training a Deep Learning Model. We all are familiar with the Training process of any Deep Learning model. With the models getting more complex […].

Deep Learning 312

Deep Learning Data Science Python 312

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Analytics Vidhya

SEPTEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Overview: This article is a walkthrough of several types of loops and control statements with plenty of practice exercises. So, I advise you to read the concepts and practice the examples along with me. Let’s start. Table of contents: Loops and their importance Loop Types […].

Python 297

Python Data Science 297

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction PDF stands for Portable Document Format. It uses.pdf extension. This type of file is mostly used for sharing purposes. They cannot be modified, thereby preserving the formatting of the file intact. Hence they can be easily shared and downloaded. They are meant for reading […].

Python 292

Python Data Science 292

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview Running data projects takes a lot of time. Poor data results in poor judgments. Running unit tests in data science and data engineering projects assures data quality. You know your code does what you want it to do. Table of content Introduction […]. The post Unit Test framework and Test Driven Development (TDD) in Python appeared first on Analytics Vidhya.

Python 293

Python Data Science Data Quality 293

Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Introduction Trax is a full-featured deep learning library with a focus on clean code and fast computation. In syntax, it is generally similar to Keras, and a Trax model can be converted to a Keras model. The library is actively developed and supported by […]. The post How to make a Summarizer using the Trax library of Deep learning?

Deep Learning 294

Deep Learning Data Science NLP Python 294

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

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon The transcriptome sequencing (RNA-seq) method has become quite a routine method for studying model organisms as well as crops. As a result of bioinformatic processing of such experiments, volumetric heterogeneous data are obtained, represented by the nucleotide sequences of transcripts, amino acid sequences, and […].

Data Science 289

Data Science 289

Analytics Vidhya

AUGUST 31, 2021

This article was published as a part of the Data Science Blogathon Introduction Keras originally grew as a convenient add-on to Theano. Although a lot of water has flowed under the bridge since then, Keras first began to support Tensorflow, and then completely became a part of it. However, our article will be devoted not to […]. The post Exploring Deep Learning Libraries – Keras appeared first on Analytics Vidhya.

Deep Learning 281

Deep Learning Data Science Python 281

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction When we start working on any Computer Vision-based task few issues that are faced by all of us are either lack of data or the quality of the data. Having less amount of data still has only two possible solutions, one is to […]. The post Improving Image Quality for Computer Vision Tasks appeared first on Analytics Vidhya.

Computer Vision 278

Computer Vision Data Science Python 278