David Menninger's Analyst Perspectives

MARCH 2, 2022

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment.

Analytics 215

Analytics Statistics Machine Learning Business Intelligence 215

Analytics Vidhya

MARCH 2, 2022

This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex. Small clusters of cells in the visual cortex are […].

Deep Learning 388

Deep Learning Visualization Data Science Publishing 388

KDnuggets

MARCH 2, 2022

Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

IT 156

IT 156

Analytics Vidhya

MARCH 2, 2022

This article was published as a part of the Data Science Blogathon. Overview of Angle detection In this article, we will be making the angle detection application using computer vision we have often come across geometry in our high school and have struggled to draw the different angles using a protractor, though here also we will […]. The post Angle detection using computer vision appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics 271

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

Smart Data Collective

MARCH 2, 2022

Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects. Most data scientists are using some form of DevOps interface these days. One of the most popular is Kubernetes.

Cost-Benefit 134

Cost-Benefit Data Science Interactive Management 134

KDnuggets

MARCH 2, 2022

When it comes to Data Science, many people affiliate the career path as being ‘nerdy’. An industry for men, smart men; pushing women further and further away from the career. What can be done about this, and why is it important?

Data Science 109

Data Science IT 109

KDnuggets

MARCH 2, 2022

Telling a Great Data Story: A Visualization Decision Tree; What Is the Difference Between SQL and Object-Relational Mapping (ORM)?; Top 7 YouTube Courses on Data Analytics ; How Much Do Data Scientists Make in 2022?; Design Patterns in Machine Learning for MLOps.

Visualization 108

Visualization Machine Learning Data Analytics Analytics 108

IBM Big Data Hub

MARCH 2, 2022

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. With ethical guardrails as a core consideration, pioneering organizations are blazing the trail for AI for social impact across the globe. The IBM Data Science and AI Elite (DSE) Team spearheaded an incubator to facilitate exploration and use of AI for social impact organizations.

Data Science 74

Data Science Machine Learning Data-driven Modeling 74

KDnuggets

MARCH 2, 2022

This article will discuss 3 possible ways of getting into the field of data science.

Data Science 97

Data Science 97

Dataiku

MARCH 2, 2022

By now, you probably already know the drill. To kick off every year, we host a technical webinar with members of our AI Labs research team in order to hone in on some of the hot ML trends we’ll likely see more of in the coming year. To take that to a new level, this year’s webinar combined the research insights with practical data science projects that back up the trends.

Optimization 59

Optimization Data Science Modeling Data Processing 59

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

Data Insight

MARCH 2, 2022

We all know customer retention is a huge priority for businesses. Large corporates have entire teams dedicated to keeping customers sticky , and retention rates are a key metric reportedand tracked by senior executives.With the current economic climate, customers are increasingly likely to be shopping around for the best offers and switching providers more frequently than ever before – meaning customer retention will continue to be a top priority for businesses.

Modeling 40

Modeling Metrics Machine Learning 40

Cloudera

MARCH 2, 2022

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Large user communities of analysts and developers benefit from Impala’s fast query execution, helping them get their work done more effectively. For these users performance and concurrency are always top of mind. . An important technique to ensure good performance and concurrency is through efficient usage of memory.

Data Warehouse 87

Data Warehouse Optimization Analytics Sales 87

Jet Global

MARCH 2, 2022

In recent years, investors have been placing an increased emphasis on a range of environmental, social, and governance (ESG) issues resulting in ESG reporting becoming more important. These issues are garnering more attention from legislators and regulators from around the world. As a result, there are more demands on companies to report on their activities and practices and how they impact environmental and social sustainability.

Reporting 59

Reporting Risk Recreation/Entertainment Insurance 59

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Stress testing is a particular area that has become even more important throughout the pandemic. Stress tests conducted by authorities such as the Federal Reserve Bank in the US are designed to keenly monitor the financial stability of the banking sector, especially during economic downturns such as those brought on by the pandemic.

Testing 91

Testing Management Risk Management Forecasting 91

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