Dataiku

NOVEMBER 3, 2021

What do you do once you have built the perfect model? In Dataiku, the answer is simple. This blog post features a demo from the 2021 Dataiku Product Days session on deployment and project delivery in Dataiku. This session was presented by Jacqueline Kuo, Senior Data Scientist at Dataiku, and François Sergot, Senior Product Manager at Dataiku. If you need a refresher on operationalization to start things off, check out this blog post to be ready for the demo.

Modeling 106

Modeling Management 106

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Overview Keras is a Python library including an API for working with neural networks and deep learning frameworks. Keras includes Python-based methods and components for working with various Deep Learning applications. source: keras.io Table of Contents What exactly is Keras? Models Explaining Deep […].

Deep Learning 352

Deep Learning Data Science Publishing Modeling 352

David Menninger's Analyst Perspectives

NOVEMBER 3, 2021

Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness. Even just a few years ago, capturing and evaluating this information quickly was much more challenging, but with the advent of streaming data technologies that capture and process large volumes of data in real time, financial service organizations can quickly turn events into valuable business outcomes in the form of new products and ser

Technology 198

Technology Internet of Things IT Analytics 198

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon What is EDA(Exploratory data analysis)? Exploratory data analysis is a great way of understanding and analyzing the data sets. The EDA technique is extensively used by data scientists and data analysts to summarize the main characteristics of data sets and to visualize them through […].

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Visualization Data Science Publishing Analytics 329

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 3, 2021

If you are beginning your data science journey, then you must be prepared to plan it out as a step-by-step process that will guide you from being a total newbie to getting your first job as a data scientist. These tips and educational resources should be useful for you and add confidence as you take that first big step.

Data Science 158

Data Science IT 158

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. An End to End guide for model training and deployment for facial emotion detection using the webcam. In our previous article, we have explored emotion detection in the text, which is quite helpful for several use cases, you can read the article here. […]. The post Facial Emotion Detection Using CNN appeared first on Analytics Vidhya.

Data Science 333

Data Science Publishing Modeling Analytics 333

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting the profit from the startup’s dataset with the features available to us. We’re using the 50-startups dataset for this problem statement and we will be using the concept of Multiple linear regression to predict the […].

Data Science 319

Data Science Publishing Analytics Machine Learning 319

KDnuggets

NOVEMBER 3, 2021

At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.

Machine Learning 112

Machine Learning Deep Learning 112

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Overview In NLP, tf-idf is an important measure and is used by algorithms like cosine similarity to find documents that are similar to a given search query. Here in this blog, we will try to break tf-idf and see how sklearn’s TfidfVectorizer calculates […]. The post How sklearn’s Tfidfvectorizer Calculates tf-idf Values appeared first on Analytics Vidhya.

Measurement 310

Measurement Data Science Publishing Analytics 310

Smart Data Collective

NOVEMBER 3, 2021

Artificial intelligence is integral to the design process. Many companies are using AI to create powerful logos and better products. Another area where AI can be fundamentally important is in web design. Web developers are using AI technology to optimize the user experience and execute their designs more quickly. However, there are some mistakes that companies can make when trying to use AI to develop new websites.

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Cost-Benefit Optimization Visualization Data-driven 109

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

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Overview This article will give you a brief idea about Named Entity recognition, a popular method that is used for recognizing entities that are present in a text document. This article is targeted at beginners in the field of NLP. By the end […]. The post A Beginner’s Introduction to NER (Named Entity Recognition) appeared first on Analytics Vidhya.

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Data Science Publishing Analytics 287

KDnuggets

NOVEMBER 3, 2021

This article looks at neural networks from a Bayesian perspective.

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Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction Aggregating is the process of getting some data together and it is considered an important concept in big data analytics. You need to define a key or grouping in aggregation. You can also define an aggregation function that specifies how the transformations […]. The post Introduction to Aggregation Functions in Apache Spark appeared first on Analytics Vidhya.

Big Data 382

Big Data Data Science Publishing Data Analytics 382

KDnuggets

NOVEMBER 3, 2021

Read this article assessing a model performance in a broader context.

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Modeling Visualization Metrics Machine Learning 145

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

Paul Turley

NOVEMBER 3, 2021

Seven days and counting… For the past eighteen years, thousands of data tech professionals would travel to the PASS Summit conference held somewhere in the US, paying for airfare, hotel and conference admission.

Reporting 72

Reporting Software 72

KDnuggets

NOVEMBER 3, 2021

What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; A Guide to 14 Different Data Science Jobs; Analyze Python Code in Jupyter Notebooks; Machine Learning Model Development and Model Operations: Principles and Practices; Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech.

Machine Learning 73

Machine Learning Data Science Modeling Finance 73

Domino Data Lab

NOVEMBER 3, 2021

Model validation is a core component of developing machine learning or artificial intelligence (ML/AI). While it’s separate from training and deployment, it should pervade the entire data science lifecycle.

Machine Learning 52

Machine Learning Modeling IT Data Science 52

Alation

NOVEMBER 3, 2021

To be competitive, organizations are trying to create a data culture. But what IS a data culture ? A data culture empowers everyone in your organization with data-driven insights, which enable you to easily collaborate around shared goals to improve your organization. Alation and Tableau are instrumental in helping organizations create a data-driven culture by surfacing trusted data.

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Data-driven Metadata Dashboards Technology 52

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

Domino Data Lab

NOVEMBER 3, 2021

Machine-learning (ML) deployment involves placing a working ML model into an environment where it can do the work it was designed to do. The process of model deployment and monitoring takes a great deal of planning, documentation and oversight, and a variety of different tools.

Machine Learning 52

Machine Learning Modeling IT Management 52

bridgei2i

NOVEMBER 3, 2021

Driving AI Adoption in the Manufacturing Industry. Aditya Karnani, Lead, Factory Performance & Reliability, Colgate Palmolive | Ronobijay Bhaumik, Director, Digital Consulting, Intelligent Operations, BRIDGEi2i. Subscribe Now. Highlights. Tune in to listen to Ronobijay Bhaumik and Aditya Karnani as they engage in a conversation about how empowering workers with decision-making skills can lead to accelerated adoption of AI in the manufacturing industry. [3:40] What are the key enablers to sec

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

Domino Data Lab

NOVEMBER 3, 2021

In the last decade, machine learning (ML) models have made organizations all over the world and in every industry more productive, more profitable and better able to serve their clients.

Machine Learning 52

Machine Learning Modeling Data Science 52

Teradata

NOVEMBER 3, 2021

Banks’ reliance on a handful of global cloud providers presents regulators with a new headache. Find out more.

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Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Data-driven

3AG Systems

NOVEMBER 3, 2021

Companies are flying blind when it comes to their data. When we talk with leaders, they give us a list of reasons why they feel that they can’t proceed with some sort of data project. These reasons range from issues like: Not being able to access that data, The data just takes too long to access, They're not experts with data, There's a large project that they have to finish, or They haven't completed their data strategy.

IT 40

IT Data Quality Data Strategy Reporting 40

Teradata

NOVEMBER 3, 2021

Banks’ reliance on a handful of global cloud providers presents regulators with a new headache. Find out more.

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Cloudera

NOVEMBER 3, 2021

Have you ever asked a data scientist if they wanted their code to run faster? You would probably get a more varied response asking if the earth is flat. It really isn’t any different from anything else in tech, faster is almost always better. One of the best ways to make a substantial improvement in processing time is to, if you haven’t already, switched from CPUs to GPUs.

Deep Learning 117

Deep Learning Machine Learning Data Science Cost-Benefit 117