Analytics Vidhya
MAY 25, 2022
Dear Readers, When the entire world is so buzzed with the word ‘Blockchain’ How can we leave our readers behind? Some of us are already aware and part of the cryptocurrency world and most of us still have our apprehensions. So, let us join Valerii Babushkin who is head of Data Science at Blockchain and […]. The post The DataHour: Introduction to Blockchain appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
MAY 24, 2022
There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut.
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DataKitchen
MAY 23, 2022
"The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics". The post DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report first appeared on DataKitchen.
KDnuggets
MAY 26, 2022
Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.
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
MAY 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Loan Prediction Problem Welcome to this article on Loan Prediction Problem. Below is a brief introduction to this topic to get you acquainted with what you will be learning. The Objective of the Article This article is designed for people who […]. The post Loan Prediction Problem From Scratch to End appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 27, 2022
Many of the leaders in the software industry come up from the ranks of working developers. They often want to expand into management as their mastery of technology gives them the confidence, but they don’t want to abandon the practice that frankly brings them fulfillment. . Enter the coding leader. This new kind of leader is responsible for both strategy and being hands-on with the tech and walks in the worlds of business and technology with equal aptitude.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
MAY 27, 2022
Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.
Analytics Vidhya
MAY 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision. The MNIST dataset helps beginners to understand the concept and the implementation of Convolutional Neural Networks. Many think of images as just a normal […].
CIO Business Intelligence
MAY 24, 2022
Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences. The new, industry-targeted data management platforms — Intelligent Data Management Cloud for Health and Life Sciences and the Intelligent Data Management Cloud for Financial Services — were an
Smart Data Collective
MAY 26, 2022
Big data has led to some very important changes in our lives. However, few people realize that data technology is helping solve environmental issues. One of the most stunning facts revealed by the new coronavirus pandemic (COVID-19) has been our acceptance of polluted air. Skies in the world’s largest cities turned a color that astonished many residents when personal vehicle miles plummeted dramatically.
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
MAY 27, 2022
In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.
Analytics Vidhya
MAY 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Preprocessing Preprocessing is an essential step in machine learning. We underestimate preprocessing but in reality, choosing the right preprocessing for our data is equally important as choosing the right model, if not more. Most of the time we go with some […].
CIO Business Intelligence
MAY 23, 2022
Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The reality is that the cloud is not a hammer that should be used to hit every AI nail.
Smart Data Collective
MAY 24, 2022
Data has become one of the most valuable assets to modern organizations. Some companies are still in denial of its importance, but their hesitance to embrace it is subsiding. One poll found that 36% of companies rate big data as “crucial” to their success. However, many companies still struggle to formulate lasting data strategies. One of the biggest problems is that they don’t have reliable data collection approaches.
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
MAY 24, 2022
An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.
Analytics Vidhya
MAY 26, 2022
This article was published as a part of the Data Science Blogathon. Source – pinterest.com Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared. And when it comes to a domain like Machine Learning, preparations might fall short. […].
CIO Business Intelligence
MAY 26, 2022
With the Great Resignation showing no signs of letting up, recruiters are looking for all the help they can get to replenish their headcounts with qualified talent. The human resource management (HRM) market – including talent acquisition software and services – is currently valued at nearly $20 billion. It is expected to grow at a rate of over 12% annually until 2028 on the back of continued digitization and automation of recruiting and HR operations.
Timo Elliott
MAY 27, 2022
I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business.
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KDnuggets
MAY 24, 2022
This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.
Analytics Vidhya
MAY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […].
CIO Business Intelligence
MAY 24, 2022
The United States seem to have a love/hate relationship with video conferencing. Almost everyone has used it (or at least 81%, according to the Pew Research Center ) but few seem to relish the experience. Many formerly in-person events from team meetings to conferences transitioned to virtual events and many companies seem conflicted on if, when or how they can get everyone back to the office.
Smart Data Collective
MAY 26, 2022
Big data technology is changing our lives in countless ways. Due to the many benefits that data provides, more companies are investing in it. Global companies are expected to spend over $234 billion by 2026. This is a great opportunity for companies that develop big data applications for customers and businesses alike. If you are interested in creating a successful big data application , then you could have a very profitable business model on your hands.
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
MAY 23, 2022
If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.
Analytics Vidhya
MAY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered what an audio’s Amplitude Envelope and RMS energy are? And, if you had to choose, which of these do you believe would be most resilient to outliers? If these questions pique your interest, then this article is for […]. The post Comparison of the RMS Energy and the Amplitude Envelope appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 23, 2022
As an organization committed to addressing the opportunity divide and closing the talent gap, Year Up is all about building pathways and making connections. When the pandemic hit and candidates and potential employers were unable to meet in person, Year Up’s IT organization scrambled to replicate training, enrollment, and matching processes in a virtual world to keep its talent match-making business going.
Smart Data Collective
MAY 23, 2022
Blockchain is one of the most disruptive technologies of the 21st Century. A growing number of industries are using blockchain to operate more efficiently or boost security. However, blockchain is still most important in the realm of cryptocurrencies. Bitcoin has become very popular since its inception in 2008 and that is largely due to the power of blockchain.
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
MAY 25, 2022
The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.
Analytics Vidhya
MAY 25, 2022
This article was published as a part of the Data Science Blogathon. Image Source: Link Introduction In this article, we will be learning how we can use Python to keep track of our “wanna-buy” items on Amazon. We tend to buy the product only if it goes below a specific threshold price, to keep it […]. The post Amazon Price Tracking System Using Python appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 25, 2022
There’s never been more pressure on IT to deliver technology-enabled change to the business. Yet the volume of demands placed on IT can make it challenging for IT leaders to concentrate IT resources on the right efforts. Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or
Cloudera
MAY 24, 2022
I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. If you have followed my prior blog posts , you know that I have a keen interest in the topic of climate risk modeling and how it can help assess the economic impacts of climate change.
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