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 399

NLP Natural Language Processing Data Science Python 399

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: 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

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 398

Data Science Python Machine Learning 398

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 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 380

Data Science Computer Vision Python 380

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 374

Neural Network Data Science Deep Learning Python 374

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Generative AI

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 371

Python Data Science Algorithm Machine Learning 371

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 366

Algorithm Data Science Machine Learning 366

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 361

Data Scientist Data Science 361

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 357

Python Data Science Machine Learning 357

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

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 353

Explainability Data Science Python 353

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 348

Categorization Deep Learning Data Science Computer Vision 348

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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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 331

BERT Data Science NLP Python 331

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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 331

ML Machine Learning Data Science Algorithm 331

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 325

Python Data Quality Data Science 325

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 323

Python Data Science Deep Learning 323

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 323

Data Science 323

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

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 321

Deep Learning Data Science Python 321

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 317

Python Data Science 317

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 316

Deep Learning Data Science NLP Python 316

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 313

Data Science 313

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Data Analysis

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 309

Deep Learning Data Science Python 309

Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon The task of tracking objects in an image is one of the hottest and most requested areas of ML. However, we already have a huge variety of different techniques and tools. This article will help you start your journey into the world of computer […]. The post Advanced Computer Vision- Introduction to Direct Visual Tracking!

Computer Vision 302

Computer Vision Data Science ML Deep Learning 302

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon Introduction The realities of the modern world are such that the analyst increasingly has to resort to the help of the latest machine learning algorithms to identify certain deviations in the operation of the system under study. The most in-demand are computer vision algorithms […].

Computer Vision 301

Computer Vision Machine Learning Algorithm Data Science 301