Dataiku

MAY 18, 2021

The continued rise of data democratization and, more ambitiously, of AI, is transforming the role of analysts little by little. As vast datasets become the norm, organizations must begin to make data more accessible. This means that analysts will now be able to access and work with data in a self-service manner and extract value to make better day-to-day decisions.

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Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Why Use Earth Engine Earth Engine is a cloud-computing platform for. The post Displaying Earth Engine Datasets in Linked Multiple Panels with Web App appeared first on Analytics Vidhya.

Data Science 365

Data Science Publishing Analytics Machine Learning 365

TDAN

MAY 18, 2021

COVID-19 has made companies large and small pivot their businesses. They might change the variety of products, freeze hiring, or let employees go to stay afloat. There is a way to avoid some of these undesirable situations with the use of big data. Companies need to tighten their purse strings as the future of the […].

Data Science 99

Data Science Big Data Data Strategy Business Intelligence 99

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most famous programming languages. Python. The post Choose Best Python Compiler For Your Machine Learning Project – Detailed Overview appeared first on Analytics Vidhya.

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Machine Learning Data Science Publishing Analytics 353

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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

Smart Data Collective

MAY 18, 2021

With the digital era came something that makes companies’ jobs easier: data mining. The issue is not that there was no such thing before. Data mining has been around for a long time, but then, only marketing companies did it and in a very artisan way. Now, algorithms do the hard work for you. Knowing your consumer, his or her behavior, and shopping preferences is a good way to target publicity and push some items over others.

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Data mining Advertising Data-driven Strategy 99

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Here is a listing of the Top 10 Datasets for. The post Top 10 Open-Source Datasets For Object Detection In 2021 appeared first on Analytics Vidhya.

Data Science 323

Data Science Publishing Analytics 323

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Let’s explore the merits of using deep learning and other. The post Merits of using deep learning and other machine learning approach in the area of forecasting at Uber appeared first on Analytics Vidhya.

Deep Learning 319

Deep Learning Machine Learning Forecasting Data Science 319

TDAN

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

Internet of Things 98

Internet of Things IoT Machine Learning Data Processing 98

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning deals with two types of problems: Regression problems. The post In-depth understanding of Confusion Matrix appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Data Science Publishing Analytics 306

TDAN

MAY 18, 2021

Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s efforts in organizing, understanding, and making productive use of enterprise data resources. There are three stages of data modeling, with each stage pertaining to its own type of data model – conceptual data models, […].

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Modeling Enterprise IT Metadata 75

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

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction K-means clustering is an unsupervised algorithm. In an unsupervised algorithm, The post K-Mean: Getting The Optimal Number Of Clusters appeared first on Analytics Vidhya.

Optimization 306

Optimization Data Science Publishing Analytics 306

Andrew White

MAY 18, 2021

Make no mistake about it, the current case being prosecuted in the US courts may well define a big chunk of the digital economy. At the center of the battle are questions (and judgements) that define digital markets, multi-sided platforms, and who has the power. The results from this case could well define our collective strategies. See WSJ: Expert Witnesses Testify in Apple-Epic Trial.

Data Strategy 59

Data Strategy Strategy Software Marketing 59

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Yes, you read it right. In this article, I will give. The post Hands-on Experience With GPT3! appeared first on Analytics Vidhya.

Data Science 284

Data Science Publishing Analytics IT 284

TDAN

MAY 18, 2021

Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices. Each column provides an update on the professional organization DAMA International, and an opportunity to share your experience with other professionals who are passionate about […].

Management 52

Management Data Quality Metadata Data Strategy 52

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

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Statistics is the foundation of Data Science. Before jumping to. The post Five Number Summary for Analysis! appeared first on Analytics Vidhya.

Statistics 271

Statistics Data Science Publishing Analytics 271

TDAN

MAY 18, 2021

Language independence plays a significant role in the machine-learning of natural language processing (NLP). Aside from being a type of scalability, it also adds various advantages to modern artificial intelligence (AI) technology. This is made possible with appropriate data training of AI to multiple language translation by minimizing the complexity of the data collection and […].

Machine Learning 52

Machine Learning Data Collection Technology IT 52

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon . The post Covid-19 Vaccination: Data Analysis & Visualization appeared first on Analytics Vidhya.

Visualization 271

Visualization Data Science Publishing Analytics 271

Teradata

MAY 18, 2021

The data-driven, digital-first era has multiplied the complexity of customer conversations – but it has also provided the means to generate and act on real insight.

Data-driven 52

Data-driven IT 52

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

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What is OpenCV? Computer vision is a process by which we. The post Pose Estimation using OpenCV appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics Deep Learning 271

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. In case you missed it, part I starts with a simple case of calculating streaming VWAP. Code and data for this series are available on github. Speed matters in financial markets. Whether the goal is to maximize alpha or minimize exposure, financial technologists invest heavily in having the most up-to-date insights on the state of the market and where it is going.

Risk 94

Risk Marketing Risk Management Data-driven 94

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In Data Processing, we try to change the data in. The post Feature Scaling Techniques in Python – A Complete Guide appeared first on Analytics Vidhya.

Data Science 270

Data Science Publishing Data Processing Analytics 270

Sisense

MAY 18, 2021

Blog. If marketing were an apple pie, data would be the apples — without data supporting your marketing program, it might look good from the outside, but inside it’s hollow. In a recent survey from Villanova University, 100% of marketers said data analytics has an essential role in marketing’s future. With everyone on board with the importance of data analytics, it’s surprising that as of 2020, only 52.7% of marketers were actually using analytics in their marketing efforts (according to Marketi

Marketing 52

Marketing Data Analytics Analytics Metrics 52

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

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Handwritten digit classification is one of the multiclass classification problem. The post Multiclass Classification Using SVM appeared first on Analytics Vidhya.

Data Science 213

Data Science Publishing Analytics 213

DataRobot

MAY 18, 2021

What inspired me most about this year’s AI Experience Worldwide conference was seeing firsthand that transformational growth truly is possible. We heard from so many customers about how AI is revolutionizing their businesses. One key to success is our vision for augmented intelligence , which builds and is dependent on humans creating structure and rules that assert their values, then puts machines to work to operate at a scale and timeframe that would not be possible otherwise.

Machine Learning 59

Machine Learning Data-driven Modeling Enterprise 59

Smart Data Collective

MAY 18, 2021

AI technology has started to play a very important role in the financial industry. A number of financial services companies have found creative ways to utilize AI tools. The stock market has been highly influenced by advances in big data and artificial intelligence. A lot of investors are using AI to boost the performance of their portfolios and find the right level of risk.

Marketing 73

Marketing Big Data Deep Learning Machine Learning 73

Cloudera

MAY 18, 2021

Introduction. Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Even though that approach addressed the short-term need of moving to the cloud, it has had three significant disadvantages: .

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Cost-Benefit Data-driven Machine Learning Data Warehouse 83

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