Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. To understand Convolutional Neural networks, we first need to know What is Deep Learning? Deep Learning is an emerging field of Machine learning; that is, it is a subset of Machine Learning where learning happens from past examples or experiences with the help of […]. The post CONVOLUTIONAL NEURAL NETWORK(CNN) appeared first on Analytics Vidhya.

Deep Learning 293

Deep Learning Machine Learning Data Science Publishing 293

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? This should come as no surprise. It is going to continue to change the workforce in the process. Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. It is important to be aware of the changes brought on by developments in big data.

Big Data 125

Big Data Advertising Internet of Things Marketing 125

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. About Generative Adversarial Networks (GANs) have been used as a deep learning approach for various image processing, computer vision problems. This article touches on one such task of regenerating images using a conditional Generative Adversarial Networks (cGAN) architecture and applying a special form of cGAN […].

Deep Learning 274

Deep Learning Data Science Publishing Analytics 274

KDnuggets

JANUARY 27, 2022

This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Facebook created a hive, however, it was eventually picked up by the Apache Software Foundation and developed as an open-source project under the name Apache Hive. It is used by a variety of businesses. Amazon uses it in Amazon Elastic MapReduce. Let’s have […].

Data Science 271

Data Science Publishing Software Analytics 271

Smart Data Collective

JANUARY 27, 2022

Artificial intelligence is having a larger impact on our lives than you may think. Although only 38% of businesses use AI in some form , 90% of the most successful companies utilize some form of AI. You may be wondering how significant AI really is. To some, AI may seem like any other over-hyped buzzword that has never truly manifested in the day-to-day human life.

Machine Learning 108

Machine Learning Data-driven Technology Publishing 108

Smart Data Collective

JANUARY 27, 2022

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In a sense, despite its tremendous value, big data has become a bit of a bubble for many companies.

Optimization 102

Optimization IT Big Data Cost-Benefit 102

Analytics Vidhya

JANUARY 27, 2022

Introduction Text is all we need. Everything we speak, write carries a huge amount of information. The topic name of the article, tone of the article everything adds a piece of information that we can interpret and extract the insights from them. Processing text and extracting the important information from the text is text processing. Doing data analysis by extracting […].

Analytics 271

Analytics 271

KDnuggets

JANUARY 27, 2022

Though often confused with one another, Iterables and Iterators are two distinct concepts. This article will explain the difference between the two, and how they are used.

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Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us. There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […].

Deep Learning 271

Deep Learning Machine Learning Data Science Publishing 271

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.

Management

Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9 billion units by 2025, a huge jump from the 13.8 billion units that exist today. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon cu

Insurance 82

Insurance IoT Risk Data Processing 82

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents 1) Introduction 2) Types of Errors 3) Types of Hypothesis Tests 4) All about Parametric and Non-Parametric Tests 5) Parametric vs Non-Parametric Tests 6) Hypothesis Tests of the Mean and Median 7) Reasons to use Parametric Tests 8) Reasons to use […]. The post Learn all About Hypothesis Testing!

Testing 270

Testing Data Science Publishing Analytics 270

Dataiku

JANUARY 27, 2022

More than ever, organizations have been able to move from lofty goals to real-world AI implementations. When it comes to deeply embedding analytics throughout the organization, though, Schlumberger has been a longtime leader. What started as a small electric prospecting company in France in 1927 is now the upstream and downstream worldwide oil and gas leader — an organization that relies heavily on analytics from seismic data processing and well testing to directional drilling and carbon capture

Analytics 59

Analytics Testing Data Processing IT 59

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will explain linear Regression, one of the machine learning algorithms. After reading this, we will get some basic knowledge about linear Regression, its uses, its types, and so on. Let us start with the table of contents. Table of […]. The post An Introductory Note on Linear Regression appeared first on Analytics Vidhya.

Machine Learning 268

Machine Learning Data Science Publishing Analytics 268

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Teradata

JANUARY 27, 2022

The prevalence of new business models, emerging global risks & modernization of data processing in the cloud is ushering in a new era for credit risk management & the transformation of risk analytics.

Risk 52

Risk Risk Management Data Processing Modeling 52

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. The financial world has significantly started relying on Artificial Intelligence (AI) and Machine Learning (ML) algorithms to get accurate assistance in complex decision making. Likewise, the trading world is also moving forward to the appliance of algorithms to improve the occurrence and drive objectivity […].

Machine Learning 268

Machine Learning Data Science Publishing Analytics 268

Paris Technologies

JANUARY 27, 2022

OLAP 52

OLAP Software Business Analytics Business Intelligence 52

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Whether you’re a company owner interested in migrating your on-premise infrastructure to the cloud or a student interested in learning about cloud computing, the first step is understanding cloud computing models. Three models will be encountered: IaaS, PaaS, and SaaS.

Modeling 267

Modeling Data Science Publishing Analytics 267

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. As an organization embraces digital transformation , more data is available to inform decisions.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be working on the telecom churn analysis and here we will be doing a complete EDA process to determine if the customer from that particular telecom industry will leave that telecom service or not meanwhile we will draw […]. The post Churn analysis of a Telecom Company appeared first on Analytics Vidhya.

Data Science 266

Data Science Publishing Analytics Visualization 266

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Zoom In! Zoom out! OpenCV has revolutionized the entire image processing world. From image classification to object detection, not only we can do cool stuff with the OpenCV library but also, we can build top-notch applications. Today we are going to implement something […].

Data Science 265

Data Science Publishing Analytics 265

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Author Let’s begin the journey!! Let’s start by familiarizing ourselves with the meaning of CNN (Convolutional Neural Network) along with its significance and the concept of convolution. What is Convolutional Neural Network? Convolutional Neural Network is a specialized neural network designed for visual […].

Visualization 264

Visualization Data Science Publishing Analytics 264

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. This article focuses on the initial most important step of Natural Language Processing i.e. tokenization using different libraries (Gensim, Keras, and NLTK) in detail. Source: Open Source Natural language processing (NLP) is a subfield of Artificial intelligence that allows computers to perceive, interpret, […].

Data Science 264

Data Science Publishing Analytics 264

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be going through the Chronic kidney disease dataset and doing the complete analysis on the same our main goal will be to predict whether an individual will have chronic kidney disease or not based on the data provided. […]. The post Predicting Chronic Kidney Disease using Machine Learning appeared first on Analytics Vidhya.

Machine Learning 263

Machine Learning Data Science Publishing Analytics 263

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction The basic idea of building a machine learning model is to assess the relationship between the dependent and independent variables. In doing so, we need to optimize the model performance. There are two types of ML models, classification and regression; for each ML […].

Metrics 260

Metrics Machine Learning Data Science Optimization 260

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. The real estate business manages large amounts of data and information. Real Estate agents need to take in a lot of factors before deciding the price of a building, a flat, or a house. Real estate and property prices are affected by a lot of […]. The post Using Sequential Model to predict prices of Real Estate appeared first on Analytics Vidhya.

Modeling 257

Modeling Data Science Publishing Management 257

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.

Testing

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Synthetic Image generation is the creation of artificially generated images that look as realistic as real images. These images can be created by Generation Adversarial Networks(GAN) which use a generator-discriminator architecture to train, generate and rate synthetic images that create a creation-feedback loop […].

Data Science 251

Data Science Publishing Analytics Machine Learning 251

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. A centralized location for research and production teams to govern models and experiments by storing metadata throughout the ML model lifecycle. Introduction When working on a machine learning project, it’s one thing to receive impressive results from a single model-training run.

Metadata 143

Metadata Machine Learning Data Science Publishing 143