Analytics Vidhya

JANUARY 29, 2024

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in.

Deep Learning 306

Deep Learning Strategy Modeling Analytics 306

Analytics Vidhya

JANUARY 21, 2024

Introduction In the rapidly evolving field of data science, the demand for skilled professionals well-versed in deep learning is at an all-time high. Whether you are a seasoned data scientist […] The post Top 30 Deep Learning Interview Questions for Data Scientists appeared first on Analytics Vidhya.

Deep Learning 294

Deep Learning Data Science Analytics 294

Analytics Vidhya

JANUARY 24, 2024

In the old days, transfer learning was a concept mostly used in deep learning. This paper explored models using fine-tuning and transfer learning. LLAMA2 […] The post Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud appeared first on Analytics Vidhya.

Modeling 322

Modeling Deep Learning Analytics Machine Learning 322

Analytics Vidhya

JANUARY 17, 2024

Determination of the type of soil that has the clay, sand, and silt particles in the respective proportions is important for suitable crop selection […] The post Agriculture & Deep Learning: Improving Soil & Crop Yields appeared first on Analytics Vidhya.

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Deep Learning Analytics IT Machine Learning 315

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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.

Analytics

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

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CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots. Make it appealing and relevant to me.”

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Deep Learning Cost-Benefit Statistics Manufacturing 115

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The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.

Analytics

Advertiser: Data Robot

Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

Machine Learning

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Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

Visualization

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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Advertiser: Data Robot

Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

Machine Learning