Analytics Vidhya

NOVEMBER 19, 2021

This is article was published as a part of the Data Science Blogathon. In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples. If we use the same labeled examples for testing our model […]. The post Top 7 Cross-Validation Techniques with Python Code appeared first on Analytics Vidhya.

Machine Learning 352

Machine Learning Testing Data Science Optimization 352

DataKitchen

NOVEMBER 19, 2021

Learn how a DataOps Process Hub enables Business Analysts to rapidly answer stakeholders' analytic questions without waiting on the centralized IT Team. The post Solve the Analytics Last-Mile Problem with a DataOps Process Hub first appeared on DataKitchen.

Analytics 130

Analytics IT 130

KDnuggets

NOVEMBER 19, 2021

The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

Machine Learning 160

Machine Learning Data Science IT 160

Cloudera

NOVEMBER 19, 2021

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. Organizations need to usher their ML models out of the lab (i.e., the proof-of-concept phase) and into deployment, which is otherwise known as being “in production”. .

Machine Learning 120

Machine Learning Modeling Experimentation IT 120

Advertisement

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

KDnuggets

NOVEMBER 19, 2021

Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.

159

159

Dataiku

NOVEMBER 19, 2021

14 years ago I (Doug) met with the director of business intelligence at NCR in his old headquarters in Dayton, Ohio. He’d recently finished a BusinessObjects implementation and proudly told me that he had 400 reports in production. I really didn’t have an understanding of that so I asked, “Is that too many or not enough?” It was obvious that he’d never considered the question, as a look of shock came over his face.

Analytics 111

Analytics Business Intelligence Reporting IT 111

CDW Research Hub

NOVEMBER 19, 2021

In our thought leadership article, Mitigate Talent-Drain and Free Your IT Staff With a Cloud MSP , we walked you through the ways that a cloud managed services provider (MSP) can mitigate talent drain and help your business realize the true benefits of cloud. Now let’s talk about how an MSP can help you manage any disruption caused by IT resource attrition.

IT 82

IT Cost-Benefit Management Modeling 82

KDnuggets

NOVEMBER 19, 2021

The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

Machine Learning 83

Machine Learning Data Science IT 83

Nutanix

NOVEMBER 19, 2021

34

34

KDnuggets

NOVEMBER 19, 2021

Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.

79

79

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

Smart Data Collective

NOVEMBER 19, 2021

Blockchain technology has been a breakthrough technology that has had a huge impact on our lives. The average person doesn’t understand the significance of blockchain, but it is revolutionizing the financial sector. If you are familiar with bitcoin, you probably realize that it was founded on the blockchain network. Blockchain has since been used in countless other applications, such as IP authentication and fraud prevention in the financial sector.

Risk 119

Risk Risk Management Metrics Marketing 119

KDnuggets

NOVEMBER 19, 2021

Want to know the difference between distributed and federated learning? Read this article to find out.

82

82