Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon ML + DevOps + Data Engineer = MLOPs Origins MLOps originated. The post DeepDive into the Emerging concpet of Machine Learning Operations or MLOPs appeared first on Analytics Vidhya.

Machine Learning 323

Machine Learning Data Science Publishing Analytics 323

David Menninger's Analyst Perspectives

JULY 28, 2021

Event data can be used to enhance existing processes, but it can also be used to dramatically impact operations, revenue models and the bottom line for manufacturers. Our Benchmark Research shows 95% of manufacturers consider it important to speed the flow of information and improve responsiveness within business processes. In this perspective I’ll share how manufacturers are working with event data to transform their organizations.

Manufacturing 246

Manufacturing Modeling IT Technology 246

Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article describes an approach to using machine learning modules on. The post How to use Machine Learning on Microcontroller Devices appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Data Science Publishing Analytics 306

DataKitchen

JULY 28, 2021

The post DataKitchen Wins Data & Analytics Vendor of the Year Award – OnConferences first appeared on DataKitchen.

Data Analytics 130

Data Analytics Analytics 130

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Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Statistics is the science of analyzing huge amounts of data. The post A Simple Guide to Hypothesis Testing for Dummies! appeared first on Analytics Vidhya.

Testing 296

Testing Statistics Data Science Publishing 296

Smart Data Collective

JULY 28, 2021

The supply-chain analytics market is projected to be worth over $16.8 billion by 2027. This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. While some jobs must be performed by actual humans, many can be performed just as well through algorithms, machines, and other technologies.

Data-driven 133

Data-driven Big Data Manufacturing ROI 133

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Computer Vision is a real-world application of Machine Learning, that. The post Advanced OpenCV and NumPy Operations: Cropping, Copying, And Pasting appeared first on Analytics Vidhya.

Machine Learning 284

Machine Learning Data Science Publishing Analytics 284

Dataiku

JULY 28, 2021

Are you more of a remote worker who likes to focus at home or someone who thrives in the office chatting with your colleagues? Maybe you are both, exclusively one, or maybe it depends on the day! There is no right or wrong answer to this, just personal preferences that you and your employer need to be aware of. Right?

IT 105

IT 105

FineReport

JULY 28, 2021

Data is knowledge, new oil, powerful weapon. Data is highly valued nowadays. Good data can give you keen insights, convincing evidence to make informed decisions. By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. For this reason, data science and/vs. business intelligence has become two buzzwords that represent some new trends in the scientific and business area. .

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

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.

Alation

JULY 28, 2021

As data science processes continue to become operationalized and embedded within business processes, the importance of governing those processes continues to rise. While governance has been a major focus for many years when it comes to managing data, governance focused on data science processes is still far less mature. That needs to change. This blog will discuss a couple of distinct areas of governance that organizations should consider.

Data Science 52

Data Science Data Governance Modeling Software 52

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. It is highly valued by organizations as they strive to remain competitive, increase revenues and delight customers because data scientists are able to coax insight on how to improve decision making by the business out of the vast stores of data created by the business.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

JULY 28, 2021

For companies investing in data science, the stakes have never been so high. According to a recent survey from New Vantage Partners (NVP), 62 percent of firms have invested over $50 million in big data and AI, with 17 percent investing more than $500 million. Expectations are just as high as investment levels, with a survey from Data IQ revealing that a quarter of companies expect data science to increase revenue by 11 percent or more.

Data Science 59

Data Science Enterprise Cost-Benefit Data-driven 59

Domino Data Lab

JULY 28, 2021

The data science lifecycle (DLSC) has been defined as an iterative process that leads from problem formulation to exploration, algorithmic analysis and data cleaning to obtaining a verifiable solution that can be used for decision making. For companies creating models to scale, an enterprise Machine Learning Operation (MLOps) platform not only needs to support enterprise-grade development and production, it needs to follow the same standard process that data scientists use.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

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