Understanding Structured and Unstructured Data


We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Domain-Specific Language Processing Mines Value From Unstructured Data


Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.

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Sample-based analysis: A new approach for unstructured data management

IBM Big Data Hub

Introducing IBM StoredIQ Instascan for accelerated compliance and risk assessments. Read to learn more

Accelerating unstructured data compliance with a new approach: sampling

IBM Big Data Hub

The initial goal of sampling is to assess where the highest compliance risk areas are within your enterprise. Read blog to learn how IBM StoredIQ InstaScan accelerates this

spaCy Tutorial to Learn and Master Natural Language Processing (NLP)

Analytics Vidhya

Beginner Libraries NLP Python Technique Text Unstructured Data API Natural language processing spaCy Text AnalysisIntroduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP.

Hands-On Tutorial to Analyze Data using Spark SQL

Analytics Vidhya

The post Hands-On Tutorial to Analyze Data using Spark SQL appeared first on Analytics Vidhya. Data Engineering Database Intermediate Python Spark SQL Unstructured Data PySpark relational database spark python spark sql

Hugging Face Releases New NLP ‘Tokenizers’ Library Version (v0.8.0)

Analytics Vidhya

Beginner Libraries NLP Python Text Unstructured Data hugging face Natural language processing state of the art NLP tokenizationHugging Face is at the forefront of a lot of updates in the NLP space. They have released one groundbreaking NLP library after another.

Quick Introduction to Bag-of-Words (BoW) and TF-IDF for Creating Features from Text

Analytics Vidhya

Beginner NLP Technique Text Unstructured Data deep learning Natural language processing word vectorsThe Challenge of Making Machines Understand Text Language is a wonderful medium of communication. You and I would have understood that sentence in a.

TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

Analytics Vidhya

Data Engineering Intermediate Libraries Project Python Unstructured Data deep learning deep learning model deployment Image Classification Model deployment tensorflow tensorflow serving

Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […].

Top 6 Open Source Pretrained Models for Text Classification you should use

Analytics Vidhya

Classification Deep Learning Intermediate Listicle NLP Python Text Unstructured Data ERNIE Natural language processing NLP pretrained models pretrained models pretrained models text classification T5 text classification Transfomer Transfomer NLP XLNet

What is Tokenization in NLP? Here’s All You Need To Know

Analytics Vidhya

Highlights Tokenization is a key (and mandatory) aspect of working with text data We’ll discuss the various nuances of tokenization, including how to handle. Advanced Algorithm NLP Python Text Unstructured Data bpe byte pair encoding character tokenization oov words out of vocabulary words subword tokenization tokenization tokenizer

Are critical business insights hiding inside your unstructured data?

IBM Big Data Hub

The search function is a very powerful tool, assuming you have concrete keywords or concepts to find in your data. And that does not even take into account the size of the information you might be searching

How to Read Common File Formats in Python – CSV, Excel, JSON, and more!

Analytics Vidhya

Introduction I have recently come across a lot of aspiring data scientists wondering why it’s so difficult to import different file formats in Python.

Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures

Analytics Vidhya

Classification Computer Vision Image Intermediate Supervised Technique Unstructured Data CIFAR class sensitivity classification classification machine learning machine learning machine learning research ResNet

What are Autoencoders? Learn How to Enhance a Blurred Image using an Autoencoder!

Analytics Vidhya

Deep Learning Image Intermediate Project Python Unstructured Data Unsupervised autoencoders Computer Vision deep learning image processing pythonOverview What are autoencoders? How do autoencoders work?

Build your own Vehicle Detection Model using OpenCV and Python

Analytics Vidhya

Image Intermediate Project Python Technique Unstructured Data Unsupervised Computer Vision object detection opencv traffic management vehicle detect vehicle detection video detectionOverview Excited by the idea of smart cities?

Howzatt! How to Build Your Own Ball Tracking System for Cricket

Analytics Vidhya

Computer Vision Object Detection Object Tracking Python Sports Technique Unstructured Data ball tracking system cricket analytics hawk eye object detection object tracking Sports analytics

Sports Analytics – Generating Actionable Insights using Cricket Commentary

Analytics Vidhya

Beginner Data Exploration Data Visualization Python Sports Technique Unstructured Data Analytics analytics python cricket cricket analytics data visualization indian cricket team python Sports analyticsOverview What is sports analytics?

Learn How to Perform Feature Extraction from Graphs using DeepWalk

Analytics Vidhya

Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Algorithm Graphs & Networks Intermediate Python Sequence Modeling Technique Unstructured Data Unsupervised DeepWalk gensim node embeddings Random walk skip-gram

A Classic Deep Learning Project – How to Add an Image Behind Objects in a Video

Analytics Vidhya

Advanced Computer Vision Image Python Technique Unstructured Data advertisements arrays brand image processing NumPy opencv video analytics video dataOverview Adding an image behind a moving object is a classic deep learning project Learn how to add a logo in a video using. The post A Classic Deep Learning Project – How to Add an Image Behind Objects in a Video appeared first on Analytics Vidhya.

Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Analytics Vidhya

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya. NLP Python dependency trees graphs Natural language processing Natural Language Understanding Part of Speech python spaCy text data unstructured data

Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis

Analytics Vidhya

Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are. The post Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis appeared first on Analytics Vidhya.

A Guide to Link Prediction – How to Predict your Future Connections on Facebook

Analytics Vidhya

Graphs & Networks Intermediate Machine Learning Project Python Social Media Supervised Technique Unstructured Data Graph theory LightGBM Link Prediction node2vec Social Media AnalyticsOverview An introduction to link prediction, how it works, and where you can use it in the real-world Learn about the importance of Link. The post A Guide to Link Prediction – How to Predict your Future Connections on Facebook appeared first on Analytics Vidhya.

4 Proven Tricks to Improve your Deep Learning Model’s Performance

Analytics Vidhya

Advanced Classification Computer Vision Deep Learning Image Project Python Social Sector Supervised Technique Unstructured Data batch normalization CNN convolutional neural networks deep learning deep learning challenges dropout neural networks overfitting python pytorch underfittingOverview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk.

Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images

Analytics Vidhya

Overview Image augmentation is a super effective concept when we don’t have enough data with us We can use image augmentation for deep learning. Advanced Classification Computer Vision Deep Learning Image Project Python PyTorch Supervised Technique Unstructured Data CNN data augmentation deep learning image augmentation image blurring image flipping image noising image rotation image shifting pytorch

Getting to the Future First: How Social Data is Transforming Trend Discovery


Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3)

Analytics Vidhya

Intermediate Libraries NLP Swift Technique Text Unstructured Data Word Embeddings AI applications Apple CoreML core ml 3 deep learning apple Natural language processing swift data scienceOverview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes!

Overcoming Common Challenges in Natural Language Processing


In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Real-time data.

Real-Time BI for Customer Retention


The latency of this data depends on the analytical purpose. Real-Time Business Intelligence (RTBI) lets users access the information that happened recently via a dashboard. The recent information can be an event that occurred a few milliseconds ago or before an hour.

Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data.

Insurance Data Analytics for Better Decision Making


Data is a gold mine in the hands of insurers and using it the right way is what significantly changes the game of competition in the insurance industry. Some researchers predict that the power of Big Data in the insurance spectrum is yet to unleash itself in all its energy.

Creating a Big Data Platform Roadmap

Perficient Data & Analytics

One of the most frequently asked questions by our customers is the roadmap to deploying a Big Data Platform and becoming a truly data-driven enterprise. Just as you can’t build a house without a foundation, you can’t start down a big data path without first establishing groundwork for success. There are several key steps to prepare the organization to realize the benefits of a big data solution with both structured and unstructured data.

How to Gain Valuable Insights from Untapped Data Using AI

Perficient Data & Analytics

You probably know your organization needs to invest in artificial intelligence (AI) solutions to take advantage of the deluge of data that mobile and digital users are creating, but do you know why or how? LEGACY ANALYTICS METHODS AREN’T EQUIPPED TO PROCESS ALL DATA TYPES. The majority of data is unstructured (around 80%) which means it isn’t clearly defined or easily searchable the way that structured data is. LEVERAGE YOUR DATA WITH AI.

Is Your Data Management Infrastructure Modern Enough for IoT?

Hurwitz & Associates

IoT is supported by a variety of technologies – computer systems, networks, end user devices, software – but at the heart of IoT is the collection, storage, processing, and analysis of data. Data growth is nothing new, of course. The volume and even types of data relevant to doing business have been growing at an accelerated pace for some time, in great part as an outgrowth of web-based applications designed to reach consumers and support end user activities such as social media.

IoT 40

Cloudera - The ASEAN Appetite for Data in Motion


The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?” Download the Report.

Data Science – 8 Powerful Applications


Data science is one of the most exciting emerging fields. First, we will explain, in simple terms, how data science works and how it can be applied to unstructured data sets. We will also look at how data science is already is widely in use. What is Data Science?

10 Invisible Secrets of Data Scientists


quintillion bytes of data, it is so much that 90% of the data accretion on the internet has been built since 2016. All these pieces of information consist of disorganized or sloppy data which offers a great challenge in terms of analysis either by humans or any automated machines.

Technology Driven Insurance Data Analytics


The nature of the Insurance industry being data-centric, insurers abide by the policy of keeping data as a treasure for their respective growth. Big Data Technical

5 Ways AI and Big Data Are Changing the Customer Experience


Here’s how you can use AI-driven technologies to leverage the power of data and improve customer experience: 1. Support Real-Time Data-Drive Decision-Making. purchase history, demographic data, preferences) with real-time browsing behaviors. Big Data Artificial Intelligence

3 Concepts Defining the Future of Work: Data, Decentralisation and Automation


Those enterprises that are aware of the upcoming changes can best prepare and achieve competitive advantage in a data-driven society. The Future of Work is Data-driven. Big data has been around for some time now.

5 ways Data Analytics is a Game Changer for the Insurance Industry


We are in the age of ‘Big Data’ and while it is becoming a big business in the emerging technological world, let us understand and get a deeper insight on what Data Analysis basically is. . Big Data

9 Formidable Big Data Analytics Tools for 2019


Typically big data is reckoned by its size, but experts also give credit to information technologies that are assisting analysts in analyzing huge clusters of unstructured data to make sense of data trends, patterns, and anomalies. Big Data