DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

Modeling 396

Modeling Machine Learning Data Science Publishing 396

KDnuggets

NOVEMBER 29, 2021

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

Machine Learning 160

Machine Learning 160

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases. In the field of Data Science most of the time you are supposed to fetch the data from any RDBMS and run some […]. The post A Complete Beginner-Friendly Guide to SQL for Data Science appeared first on Analytics Vidhya.

Data Science 393

Data Science Publishing Analytics 393

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

KDnuggets

NOVEMBER 29, 2021

Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.

Machine Learning 154

Machine Learning Modeling 154

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes. Artificial Neural networks ability is exemplary in tackling large and highly complex Machine […].

IT 386

IT Machine Learning Data Science Publishing 386

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable. Or As a loan manager, do you want to know which loan applications are safe to lend to and which ones […]. The post Implementation of Gaussian Naive Bayes in Python Sklearn appeared first on Analytics Vidhya.

Data Science 330

Data Science Publishing Management Analytics 330

Smart Data Collective

NOVEMBER 29, 2021

Last year, we talked about the growing importance of big data in the entertainment industry. Marvel is one of the many companies using big data to optimize its business model. As we all know, Marvel is one of the most influential comic books in the world created by Stan Lee. Only a mind like his could create an out-of-this-world creation that would last forever.

Visualization 109

Visualization Recreation/Entertainment Big Data Statistics 109

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction Hey all?, In the past few decades, many revolutions have changed the world we live in, one of them being GPUs. This arrival led us to a new era of computing called AI(Artificial Intelligence) due to the computation power it has to […]. The post Benchmarking CPU And GPU Performance With Tensorflow appeared first on Analytics Vidhya.

Data Science 314

Data Science Publishing Analytics IT 314

KDnuggets

NOVEMBER 29, 2021

Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading.

Data Science 103

Data Science 103

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. The internet contains vast amounts of information. Often, we need to access information fast and quickly. So for that, we need to use web scraping. What is Web Scraping? Web Scraping deals with collecting web data and information in an automated manner. Basically, […]. The post Web Scraping a News Article and performing Sentiment Analysis using NLP appeared first on Analytics Vidhya.

Data Science 305

Data Science Publishing Analytics Data mining 305

Smart Data Collective

NOVEMBER 29, 2021

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. However, there are some other benefits of using data analytics that don’t get quite as much attention.

Data Analytics 107

Data Analytics Analytics Big Data B2B 107

Analytics Vidhya

NOVEMBER 29, 2021

Overview My goal is to learn different NLP principles, implement them, and explore more solutions, rather than to achieve perfect accuracy. I’ve always believed in starting with simple models to gauge the level, and I’ve taken the same strategy here. This section will introduce Facebook sentence embeddings and how they may develop quality assurance systems. […].

Strategy 284

Strategy Modeling Analytics 284

Smart Data Collective

NOVEMBER 29, 2021

AI is revolutionizing the banking and financial sector. Read this article to get to know why banks need to introduce AI-based solutions in their workflows—the faster the better. Banking is one of those industries that can earn or save billions of dollars thanks to AI. Institutions that introduce AI-powered solutions earlier than their rivals gain a significant competitive edge.

Cost-Benefit 107

Cost-Benefit Risk Finance Statistics 107

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

Dataiku

NOVEMBER 29, 2021

What happens after you get the so-called sexiest job of the 21st century ? Data scientist positions are very different from one organization to another but, regardless, you can ensure a varied and exciting career in this role. But there is more to it than stepping into a team lead or expert role. Data science skills are easily reusable and data scientists who leave their specific role aren’t necessarily leaving the data science and AI field.

Data Science 105

Data Science IT 105

Smart Data Collective

NOVEMBER 29, 2021

We have endlessly discussed the benefits of using big data to make the most out of your marketing strategies. Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. One of the most important benefits of data analytics has been in implementing email marketing strategies. New advances in AI and analytics have made it possible to automate many email marketing strategies that used to be very difficult and time-intensive to ex

Data-driven 104

Data-driven Marketing Big Data Sales 104

KDnuggets

NOVEMBER 29, 2021

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

Machine Learning 83

Machine Learning 83

Smart Data Collective

NOVEMBER 29, 2021

Many disasters can create a lot of problems for businesses. One of the biggest concerns is that they can lead to data loss. If you are worried about a disaster impacting your business, then you have to be ready to restore your data as quickly as possible. This requires you to have the right disaster recovery tools on hand. You can hardly find a computer user who has never faced the issue of data loss.

Management 93

Management Software Big Data Risk 93

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing

KDnuggets

NOVEMBER 29, 2021

Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading.

Data Science 69

Data Science 69

Dataiku

NOVEMBER 29, 2021

The ability to predict the activity of a factory can turn out to be very handy to anticipate disruptions or unveil new business opportunities. But how exactly is that possible if access to data on business activity is limited? And how can you concretely do this using Dataiku?

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59

KDnuggets

NOVEMBER 29, 2021

Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

Machine Learning 83

Machine Learning Analytics 83

DataRobot

NOVEMBER 29, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People , Process and Technology. All are required for trusted AI , technology systems that align to our individual, corporate, and societal ideals. This third post is focused on the technologies for AI you can trust. .

Technology 52

Technology Metrics Predictive Modeling Modeling 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

Teradata

NOVEMBER 29, 2021

Retail and CPG leaders of the future need to successfully leverage analytics at speed and scale to drive performance. Find out more.

Strategy 52

Strategy Analytics 52

Nutanix

NOVEMBER 29, 2021

With the Nutanix Objects™ release v.3.3, we’re extending our capabilities to include a number of new features that allow customers to fully leverage cloud-native technologies while providing the flexibility of a multicloud deployment.

Technology 20

Technology 20

CDW Research Hub

NOVEMBER 29, 2021

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. However, building an IoT solution requires thought into six distinct layers, each with its own considerations and security implications. The CompTIA IoT Advisory Council recently published a white paper called The Six Layers of an IoT Solution guide, which breaks down these layers and provides overarching guidance on IoT security to give IT solution practitioners more holistic knowledge of IoT solutions

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. When done right it creates value and allows business leaders to make the most advantageous decisions, in real-time. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The Data Impact Awards 2021 aim to recognize and reward the various organizations taking advantage of the latest Big Data services to successfully manage large amounts o

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

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