David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

Data Science 319

Data Science Data Lake Data mining Deep Learning 319

Analytics Vidhya

SEPTEMBER 16, 2021

Objective Understand what is Cross-sell using Vehicle insurance data. Learn how to build a model for cross-sell prediction. Introduction If you are a Machine learning enthusiast or a data science beginner, it’s important to have a guided journey and also exposure to a good set of projects.In this article, We will walk through a beginner […].

Machine Learning 395

Machine Learning Insurance Data Science Modeling 395

CIO Business Intelligence

SEPTEMBER 16, 2021

As a leading business intelligence tool, Power BI offers business users power and flexibility in dealing with data. The Microsoft tool provides everything from Excel integration to enterprise reporting and an increasing number of AI features that simplify getting deeper insights. In fact, the latest Forrester Wave report on augmented BI goes as far as to say “it is hard not to consider Power BI as your top choice for an enterprise BI platform.

Business Intelligence 140

Business Intelligence Reporting Enterprise IT 140

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon In this article, we will be learning about how to apply k-fold cross-validation to a deep learning image classification model. Like my other articles, this article is going to have hands-on experience with code. This article will initially start with the theory part then […]. The post How to Apply K-Fold Averaging on Deep Learning Classifier appeared first on Analytics Vidhya.

Deep Learning 364

Deep Learning Data Science Publishing Modeling 364

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

SEPTEMBER 16, 2021

You must pay attention the data points that matter! Long gone are the days when digital marketing was based on gut feel and what looked good. The industry knows data is critical to a successful strategy. The hard thing is knowing which data points to pay attention to – separating the signal from the noise. With so much of marketing being quantifiable nowadays, it can be easy to get lost analyzing the wrong data and wasting time which could be better spent elsewhere.

Marketing 129

Marketing Strategy Metrics ROI 129

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction More often than not, while performing an EDA, we are faced with a situation to display information with respect to geographical locations. For example, for a COVID 19 dataset, one may want to show the number of cases in various areas. Here is […]. The post How to Visualise data in Maps Using GeoPandas appeared first on Analytics Vidhya.

Data Science 329

Data Science Publishing Analytics Visualization 329

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss the mathematical intuition behind Naive Bayes Classifiers, and we’ll also see how to implement this on Python. This model is easy to build and is mostly used for large datasets. It is a probabilistic machine learning […]. The post Naive Bayes Algorithm: A Complete guide for Data Science Enthusiasts appeared first on Analytics Vidhya.

Data Science 323

Data Science Machine Learning Publishing Modeling 323

FineReport

SEPTEMBER 16, 2021

As a project manager, you may often face questions such as “How is our project progressing? What will happen next?” Companies always pay attention to whether they can deliver products before the deadline. Project dashboard, also known as project management dashboard, helps show the current project progress like a car dashboard and provide feedback to the team.

Dashboards 98

Dashboards Manufacturing Digital Transformation Forecasting 98

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Unsupervised learning, where there are no predefined labels for the data and the model segments the data into groups by inferring patterns and extracting features from the data, is at the heart of the data science problems. In the machine learning world, Segmentation […].

Machine Learning 319

Machine Learning Data Science Publishing Modeling 319

Paris Technologies

SEPTEMBER 16, 2021

Finance and accounting teams play an integral role in supporting organizations’ growth and strategic goals. But many finance and accounting professionals are tied to inefficient, burdensome processes, resulting in an underutilization of their strategic talents. With so many different financial planning tools, forecasting tools and software available, driving efficiency, providing necessary insights, and facilitating strategic […] The post Financial Process Improvement: How to Improve Your

Reporting 52

Reporting Finance Forecasting Software 52

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon PySpark Column Operations plays a key role in manipulating and displaying desired results of PySpark DataFrame. It is important to know these operations as one may always require any or all of these while performing any PySpark Exercise. PySpark DataFrame is built over Spark’s […].

Data Science 297

Data Science Publishing Analytics IT 297

Data Virtualization

SEPTEMBER 16, 2021

Today, the market offers a wide range of IaaS options for data storage, with several public clouds vying for the attention of enterprise customers. Still, on-premises systems remain an option, and several companies prefer to maintain their own private clouds. The post Data Virtualization: Easy Data Integration for Complex Pipelines appeared first on Data Virtualization blog.

Data Integration 52

Data Integration Marketing Enterprise Data Governance 52

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail data) because texts fall under unstructured data. Textual data, even though very important, vary considerably in lexical and morphological standpoints. Different people express themselves quite differently when it comes to […].

Unstructured Data 296

Unstructured Data IT Data Science Publishing 296

Paris Technologies

SEPTEMBER 16, 2021

Finance and accounting teams play an integral role in supporting organizations’ growth and strategic goals. But many finance and accounting professionals are tied to inefficient, burdensome processes, resulting in an underutilization of their strategic talents. With so many different financial planning tools, forecasting tools and software available, driving efficiency, providing necessary insights, and facilitating strategic […].

Reporting 52

Reporting Finance Forecasting Software 52

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

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Recently I participated in an NLP hackathon — “Topic Modeling for Research Articles 2.0”. This hackathon was hosted by the Analytics Vidhya platform as a part of their HackLive initiative. The participants were guided by experts in a 2-hour live session and later on were […]. The post Topic Modeling: Predicting Multiple Tags of Research Articles using OneVsRest strategy appeared first on Analytics Vidhya.

Strategy 259

Strategy Modeling Data Processing Data Science 259

Alation

SEPTEMBER 16, 2021

Contributed by Satyen Sangani and Talo Thomson. The value of a tool — like an idea — lies in the using of it. Today, Alation is the leading data catalog. Our product is regarded as the best because our users achieve the most successful outcomes the most quickly. Early on, we focused on three goals: Ease of deployment … so you can launch the catalog in days… Human-centric search … and start using it to find great data instantly… Usage and collaboration … and collabor

Machine Learning 52

Machine Learning Data Governance Software Metadata 52

Dataiku

SEPTEMBER 16, 2021

This is my friend, Louis Takumi. He is French-Japanese and one of the newest Dataikers who has joined the company this year. He is the very first data scientist who will work in our soon-to-open Tokyo office — but what makes him really stand out is his passion for ramen. When he signed the contract to officially come on board, he asked me, “Makoto, which ramen restaurant do you recommend in Tokyo?”.

22

22

Smart Data Collective

SEPTEMBER 16, 2021

All businesses need a system to accurately track their expenses. Without it, they would not be able to keep reliable records and would likely soon find themselves in financial trouble. To track expenses, most businesses rely on some form of expense management software. However, not all expense management software options are created equal. Some offer more and better tools, providing some significant advantages to their users.

Software 87

Software Management Cost-Benefit Reporting 87

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

DataRobot

SEPTEMBER 16, 2021

Accurate pricing is essential to protecting an insurance company’s bottom line. Pricing directly impacts the near-term profitability and long-term health of an insurer’s book of business. The ability to charge more accurate premiums helps the company mitigate risk and maintain a competitive advantage, which, in turn, also benefits consumers. The methods actuaries use to arrive at accurate pricing have evolved.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52