Smart Data Collective
AUGUST 15, 2022
Businesses are evolving and searching for newer ways to accomplish their goals, hence the need for artificial intelligence (AI). AI involves building smart machines to carry out tasks that typically need human intelligence, and AI simulates human intelligence using computer systems. The two major AI types used in businesses today are reactive machines and limited memory.
Analytics Vidhya
AUGUST 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Almost every one of us nowadays is using YouTube, and it turned out to be fascinating to know how YouTube recommends videos in the same genre/type that we watched a day ago, an hour ago, or a minute ago. In the backend, […]. The post Build your Recommendation System using MLIB appeared first on Analytics Vidhya.
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KDnuggets
AUGUST 15, 2022
ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.
Analytics Vidhya
AUGUST 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction When we started our data science journey the very first library that got our way was pandas and the very first function was read_csv(). But do we have only a CSV file to read? No right! This article will let you know […]. The post Different Ways of Loading Data using Python appeared first on Analytics Vidhya.
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.
KDnuggets
AUGUST 15, 2022
Free AI for Beginners Course • How to Perform Motion Detection Using Python • 3 Free Statistics Courses for Data Science • The 5 Hardest Things to Do in SQL • Decision Tree Algorithm, Explained.
Smart Data Collective
AUGUST 15, 2022
Technology has become so advanced that, today, there’s an app for almost anything, from children’s education, to home improvement, to health monitoring, to workplace productivity. Gathering critical data to determine the best action to apply to specific situations has become integral in people’s daily lives. Because of technology, critical decisions are now mostly based on scientific data.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Depict Data Studio
AUGUST 15, 2022
This guest post comes from Amadu Sidi Bah, who’s graduated from our Simple Spreadsheets, Great Graphs, Report Redesign, and Dashboard Design courses. Great work, Amadu! — Ann K. Emery. All too often, written submissions from stakeholders come in dense, long reports. That’s what happened in our project when stakeholders were consulted on the changes that would be required to improve student outcomes.
CIO Business Intelligence
AUGUST 15, 2022
By Viki Paige, Head of Broadcom Software Marketing. As recently announced, Hock Tan, Broadcom Inc.’s President and CEO, will be also directly overseeing the operations of the Broadcom Software Group. Now that Hock is leading Broadcom Software , we sat down with him to learn more about his career, personal philanthropy and areas of achievement. Q: Having grown up in Malaysia, tell us a bit about how you got to the U.S. and what it was like to become an American citizen?
Cloudera
AUGUST 15, 2022
Cloudera’s August Volunteer Spotlight is Thatiane Freire, account executive for the public sector, located in Bras í lia, Brazil, and one of the company’s Cloudera Cares Ambassadors. . Thatiane volunteers with a local organization called Casa de Caridade Inacio Daniel, which began with the goal to meet the day-to-day, foundational needs of the homeless community in Bras í lia.
CIO Business Intelligence
AUGUST 15, 2022
Many think of the cloud as a destination; somewhere to get to. It is not – it’s a continuous experience and a journey of choices. Organizations normally recognize they need help navigating the different platforms, application architectures, and technology choices they’ll encounter along the way. When looking for a partner to provide cloud professional services, there are some obvious features such as strengths and experience to consider.
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.
IBM Big Data Hub
AUGUST 15, 2022
Sometimes as data scientists, we are often so determined to build a perfect model that we can unintentionally include human bias into our models. Often the bias creeps in through training data and then is amplified and embedded in the model. If such model enters a production cycle it can have some serious implications directed by bias such as false prediction of credit score or health examination.
CIO Business Intelligence
AUGUST 15, 2022
Integrating a new network after an acquisition can be a sizable headache for any CIO. But for Koch Industries, a $115 billion global conglomerate that has acquired five companies in two years, including Infor for $13 billion in 2020, connecting those acquisitions’ networks to its own sprawling network has been a challenge of another magnitude. Traditionally, to integrate its acquisitions, Koch would flatten the acquired company’s core network, says Matt Hoag, CTO of business solutions at Koch.
Dataiku
AUGUST 15, 2022
In a prior blog , I talked about how to enable expert data scientists to do more expert data science. While that is a great start, scaling AI to deliver tens of thousands of AI-enabled processes and applications will take more people in addition to some clever technology choices.
erwin
AUGUST 15, 2022
This blog is based upon a recent webcast that can be viewed here. For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Moreover, this blog will provide readers with a firm foundation for NoSQL and data lakes as they move to the cloud.
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.
CIO Business Intelligence
AUGUST 15, 2022
The benefits of cloud approaches might have you asking, “Is now the right time to move from mainframe?” The availability of cloud and on-premises cloud hybrid, consumption models have led to organizations rethinking their entire application portfolio strategy. This is no less the case for mainframe users. It’s been happening for a while, and more and more are moving to reap the benefits.
Domino Data Lab
AUGUST 15, 2022
Convolutional Neural Networks (CNNs and also ConvNets) is a class of Neural Networks typically used for image classification (mapping image data to class values). At a high level, CNNs can be viewed simply as a variant of feedforward networks, but they have a number of advantages in comparison to more traditional algorithms for analysing visual imagery.
CIO Business Intelligence
AUGUST 15, 2022
The benefits of cloud approaches might have you asking, “Is now the right time to move from mainframe?” The availability of cloud and on-premises cloud hybrid, consumption models have led to organizations rethinking their entire application portfolio strategy. This is no less the case for mainframe users. It’s been happening for a while, and more and more are moving to reap the benefits.
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