Analytics Vidhya

NOVEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.

Deep Learning 363

Deep Learning Modeling Machine Learning Data Science 363

DataKitchen

NOVEMBER 18, 2022

Part 3: Considering the Elements of Data Journeys. This is the third post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130

Testing Statistics Measurement Metrics 130

KDnuggets

NOVEMBER 18, 2022

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

Data Science 160

Data Science 160

CIO Business Intelligence

NOVEMBER 18, 2022

The public cloud offers plenty of tantalizing advantages to enterprise customers. The appeal of scalability, security, and performance — not to mention the elimination of massive capital expenditures — can be hard to resist. Countless enterprise businesses have flocked to the public cloud and never looked back. Yet, for some, the benefits that looked alluring on paper can prove elusive in practice.

Cost-Benefit 98

Cost-Benefit Data-driven Risk Enterprise 98

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

KDnuggets

NOVEMBER 18, 2022

Read research papers on neural models, word embedding, language modeling, and attention & transformers.

Modeling 158

Modeling 158

CIO Business Intelligence

NOVEMBER 18, 2022

Technologies like the Internet of Things (IoT), artificial intelligence (AI), and advanced analytics provide tremendous opportunities to increase efficiency, safety, and sustainability. However, for businesses with operations in remote locations, the lack of public infrastructure, including cloud connectivity, often places these digital innovations out of reach.

IoT 93

IoT Internet of Things Consulting Machine Learning 93

CIO Business Intelligence

NOVEMBER 18, 2022

The cloud offers limitless scalability and flexibility, powering digital transformation across every industry. But when not managed strategically in the long run, cloud spending can quickly escalate and impact margins, cost of goods sold (COGS), and cost of revenue (COR). To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps).

Optimization 91

Optimization KPI Key Performance Indicator Cost-Benefit 91

KDnuggets

NOVEMBER 18, 2022

Anaconda is incredibly excited to announce the release of a brand-new suite of products on the Anaconda Nucleus platform: Anaconda Notebooks and Anaconda Learning.

Data Processing 78

Data Processing Data Science 78

CIO Business Intelligence

NOVEMBER 18, 2022

As the world works to reverse climate change through decarbonization and reduced reliance on fossil fuels, the oil and gas industry finds itself at the epicenter of this challenge. Governments, institutional investors, consumers, and employees continue to exert growing pressure on oil and gas providers to decarbonize and adopt renewable solutions. In response, oil and gas majors are making headway in terms of carbon reporting, net-zero targets, and accountability.

Digital Transformation 85

Digital Transformation Cost-Benefit Optimization Machine Learning 85

Cloudera

NOVEMBER 18, 2022

Introduction. Stream processing is about creating business value by applying logic to your data while it is in motion. Many times that involves combining data sources to enrich a data stream. Flink SQL does this and directs the results of whatever functions you apply to the data into a sink. Business use cases, such as fraud detection , advertising impression tracking, health care data enrichment, augmenting financial spend information, GPS device data enrichment, or personalized customer commun

Data Processing 58

Data Processing Advertising IT 58

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

CIO Business Intelligence

NOVEMBER 18, 2022

You’ve invested in state-of-the-art, end-to-end security solutions. You’ve implemented robust security and privacy policies and outlined best practices. You’ve got monitoring and detection in place at every level and you apply updates as soon as they’re available. You’ve done everything a smart and responsible organization needs to do to safeguard your systems, networks, data, and other assets from cyber threats.

Cost-Benefit 85

Cost-Benefit Risk Management Risk Testing 85

Dataiku

NOVEMBER 18, 2022

When I was in high school, I lived in a part of Wisconsin where you could make good side-gig money trimming apple and cherry trees. There’s a strategy and art to it. If you trim too much, then yields drop. If you trim too little, then the organism ignores the change, becomes a cluttered mess, and yields drop. The goal is to make the fewest cuts necessary to boost performance.

Strategy 52

Strategy IT 52

DataKitchen

NOVEMBER 18, 2022

. Question: What is the difference between Data Quality and Observability in DataOps? Data Quality is static. It is the measure of data sets at any point in time. Data Observability is dynamic — it is the testing of data, integrated data, and tools acting upon data — as it is processed — that checks for flow rates and data errors.

Data Quality 130

Data Quality Testing Measurement Data Integration 130

CIO Business Intelligence

NOVEMBER 18, 2022

3M Health Information Systems (3M HIS), one of the world’s largest providers of software solutions for the healthcare industry, exemplifies 3M Co.’s legendary culture of innovation. By combining the power of a cloud-based data ecosystem with artificial intelligence (AI) and machine learning (ML), 3M HIS is transforming physician workflows and laborious “back office” processes to help healthcare organizations streamline clinical documentation and billing, enhance security and compliance, and rede

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

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

Smarten

NOVEMBER 18, 2022

Choose an Augmented Analytics Solution with Natural Language Processing (NLP) Search Analytics! Research reveals that the global statistical natural language processing (NLP) market size is projected to grow to $3.7 billion USD within the next five years, an annual growth rate of 20%. The use of natural language processing for search capability is ubiquitous.

Analytics 52

Analytics Statistics Data Science Machine Learning 52

Jet Global

NOVEMBER 18, 2022

For enterprise reporting globally, Oracle Essbase does a great job maintaining the underlying financial data. But when it comes to making sense of this data – organizing, visualizing, and finding the narrative – Essbase has limited capabilities. CXO Software for Essbase puts your Finance team in control – eliminating the need for inefficient spreadsheet-based reporting processes.

Reporting 52

Reporting Finance Software Cost-Benefit 52