Analytics Vidhya
MARCH 24, 2022
Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The pandemic has certainly accelerated this trend even more and having high quality and consistency […]. The post Get to Know About Modern Data Governance appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
MARCH 23, 2022
For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. We will also look at some of the disconnects between these two groups.
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KDnuggets
MARCH 24, 2022
A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.
DataRobot Blog
MARCH 25, 2022
The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.
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
MARCH 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].
CIO Business Intelligence
MARCH 22, 2022
Despite national conversations about a lack of women in tech, women remain largely underrepresented in STEM roles , according to a study by the National Science Foundation. And the pipeline doesn’t suggest a near-term correction, as only 19% of computer science degrees were awarded to women in 2016, down from 27% in 1997. Women also typically make less than their male counterparts in science, engineering, mathematics, and computer science occupations — with an average median salary of $66,000 pe
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
MARCH 21, 2022
You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.
Analytics Vidhya
MARCH 25, 2022
Overview DataFrame in Python Performing Data Cleaning Operations on the Pandas DataFrame Introduction Undoubtedly, a DataFrame in python is the most important structure used to store the data because it is used in all practical cases to store our given data set which we will be using for creating our models. It is defined under […]. The post Operating on the Pandas DataFrame in Python appeared first on Analytics Vidhya.
CIO Business Intelligence
MARCH 24, 2022
Sonny Sonnenstein is not a mainframe guy. “I’m a banking technologist,” says the CIO for retail, business, and digital banking at M&T Bank. But it is safe to say that Sonnenstein understands something about investment risk and when it’s time to double down on a strong hand. He’s doing just that on the bank’s IBM Z system mainframes, for which the bank has written some 10 million lines of code over the years.
KDnuggets
MARCH 22, 2022
Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.
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.
Cloudera
MARCH 24, 2022
Earlier this month, the multi-national carrier MTN announced a rebranding, and along with its logo refresh, announced that it was moving to focus on being a technology provider. The new look, “aligns with our evolution from a telecommunications company to a technology company,” said Nompilo Morafo, Chief Corporate Affairs officer at the company. Across APAC too, telcos are looking at the shift to becoming technology companies, and last week’s TMForum Leadership Summit “ The Tech Driven Telco ” s
Analytics Vidhya
MARCH 22, 2022
Introduction Training a Deep Learning model from scratch can be a tedious task. You have to find the right training weights, get the optimal learning rates, find the best hyperparameters and the architecture that will best suit your data and model. Put it along with not having enough quality data to train and the computational […]. The post Introductory Note to Image Classification Using Fast ai appeared first on Analytics Vidhya.
CIO Business Intelligence
MARCH 22, 2022
It’s been years since developers found that Nvidia’s main product, the GPU, was useful not just for rendering video games but also for high-performance computing of the kind used in 3D modeling, weather forecasting, or the training of AI models—and it’s on enterprise applications such as those that CEO Jensen Huang will focus his attention at the company’s GTC 2022 conference this week.
KDnuggets
MARCH 25, 2022
GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
Smart Data Collective
MARCH 23, 2022
With the advancement of digital technology, electronic signatures (e-signatures) have gained massive acceptance in the business world, where artificial intelligence (AI) further leads its improvements. What Are E-Signatures? E-signatures, or the digitized or scanned version of handwritten signatures, improve business processes, allowing fast signing and approval of documents.
Analytics Vidhya
MARCH 25, 2022
This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will get introduced to reinforcement learning and also implement a simple example of the same in Python. It will be a basic code to demonstrate the working of an RL algorithm. Brief exposure to object-oriented programming in Python, […]. The post A Hands-on Introduction to Reinforcement Learning with Python appeared first on Analytics Vidhya.
CIO Business Intelligence
MARCH 21, 2022
What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies.
KDnuggets
MARCH 21, 2022
Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
Dataiku
MARCH 22, 2022
The COVID-19 global pandemic forced us to experiment with how and where we work in an extensive way and many struggled with this transition. But the experience was definitely eye-opening on many levels. While some realized that they were not made for school teaching or Zoom happy hours, others explored new ways to balance their lives between work and personal activities.
Analytics Vidhya
MARCH 25, 2022
Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide. Professionals who can handle Big Data and have the necessary knowledge required for understanding, analysing and processing data are in high demand in the […].
CIO Business Intelligence
MARCH 23, 2022
There’s no better type of job security than indispensability. Once an IT leader is regarded as essential by his or her employer, recognition rises, colleagues begin listening, project doors swing open, and salaries and benefits skyrocket. Achieving indispensability isn’t as challenging as it may sound. It can be easily acquired by embracing several common traits that have been proven to transform mere mortals into IT heroes.
KDnuggets
MARCH 23, 2022
ODSC East is less than a month away - here are five reasons why you should attend, such as learning about trending topics, amazing Keynotes, and the AI Expo Hall.
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
Smart Data Collective
MARCH 22, 2022
Smart home automation has become quite popular in recent years, moving from a luxury for the rich to a staple in many homes. The most popular smart home devices are speakers and thermostats, but a growing number of people are adopting other smart devices like door locks and security cameras. Residential smart home automation has become a massive industry, and it’s not hard to implement.
Analytics Vidhya
MARCH 25, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to learn about Decision Tree Machine Learning algorithm. We will build a Machine learning model using a decision tree algorithm and we use a news dataset for this. Nowadays fake news spread is like wildfire and this […]. The post Decision Tree Machine Learning Algorithm Using Python appeared first on Analytics Vidhya.
CIO Business Intelligence
MARCH 22, 2022
Delays are common in project management, regardless of what sector you’re working in. But once a project has fallen behind, what can you do as a project manager to get your wayward project back on track? It’s often easier said than done, but it’s important not to panic; calm heads always prevail, as they say. But still, time is of the essence when a project is falling behind, so it is vital to not delay taking action; otherwise, your organization will be susceptible to potentially very costly co
KDnuggets
MARCH 23, 2022
CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus. and is free to anyone interested in taking it!
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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.
Smart Data Collective
MARCH 23, 2022
Keeping your data safe now is more challenging than ever. We keep a lot of our data on hackable devices, such as mobile phones and computers. One weak password or a phishing attack on our emails is enough to breach and expose our information and have it land in the wrong hands. We also give a lot of our information away to various companies and services we use online.
Analytics Vidhya
MARCH 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Feature analysis is an important step in building any predictive model. It helps us in understanding the relationship between dependent and independent variables. In this article, we will look into a very simple feature analysis technique that can be used in cases such as […].
CIO Business Intelligence
MARCH 21, 2022
If there’s one thing Jamie Holcombe has learned from his decades-long career as a public and private sector IT leader, it’s how to be a good salesman. Staying razor-focused on business benefits and communicating in a language everyone understands is central to successful IT initiatives, whether the project involves state-of-the-art technology like robotic process automation (RPA) or is a bit more mundane, like upgrading an aging data center.
KDnuggets
MARCH 21, 2022
After speaking to co-workers in the data industry who like me, had left their jobs at a very early stage in their career, I’ve come to realize that there are two main reasons the data science field has such a high employee attrition rate.
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Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.
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