Analytics Vidhya
DECEMBER 1, 2021
This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].
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.
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David Menninger's Analyst Perspectives
NOVEMBER 30, 2021
TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management
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.
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.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.
DataRobot
DECEMBER 1, 2021
Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
DECEMBER 3, 2021
If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.
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.
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.
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.
KDnuggets
DECEMBER 1, 2021
This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.
Analytics Vidhya
DECEMBER 2, 2021
This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].
Dataiku
DECEMBER 2, 2021
In this article, you will see how One Acre Fund , an agriculture non-profit based in East Africa, leverages Dataiku’s end-to-end data science capabilities to increase its operational efficiency by identifying farmers at risk of defaulting on their seasonal loans.
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.
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.
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.
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 […].
Ontotext
DECEMBER 2, 2021
In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. But a successful system would eventually have to “graduate” out of the internal development stage and get to be used in the wider world.
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.
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KDnuggets
DECEMBER 2, 2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?
Cloudera
DECEMBER 3, 2021
In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.
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
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
KDnuggets
NOVEMBER 30, 2021
After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.
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.
TDAN
DECEMBER 1, 2021
There is no denying that database administration requires a bevy of technical know-how. The DBA is the information technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access those databases. As such, DBAs are tasked with designing, implementing, and administering databases, but also performance monitoring, backup […].
Teradata
DECEMBER 1, 2021
M&A is an important part of an organization's growth strategy. Getting reference data right can be foundational to overcoming many challenges that come with it.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
KDnuggets
NOVEMBER 30, 2021
In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.
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 […].
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.
CDW Research Hub
DECEMBER 2, 2021
LINCOLNSHIRE, Ill.–(BUSINESS WIRE)– CDW Corporation (Nasdaq: CDW) (“CDW” or “Company”), a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada, today announced that it has completed the acquisition of Sirius Computer Solutions, Inc.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
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