Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction The third generation of the world wide web is called Web 3.0 and it first appeared in Tim Berners-Lee’s paper, “The Semantic Web.” Web 3.0 has been described as an evolution of the current web, which will be characterized by seamless integration […].
KDnuggets
JULY 13, 2022
Learn about some of the most well known machine learning algorithms in less than a minute each.
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CIO Business Intelligence
JULY 12, 2022
Servant leadership has emerged as a popular management method that replaces command-and control-style leadership with empathy and empowerment. The management approach prioritizes the growth, well-being, and empowerment of employees. It aims to foster an inclusive environment that enables everyone in the organization to thrive as their authentic self.
Smart Data Collective
JULY 11, 2022
We have talked about the benefits of using big data in the marketing profession in the past. The top marketing strategists of every organization need to understand its benefits and use it effectively. CMOs Are Investing in the Benefits of Big Data. The market for marketing analytics technology is growing nearly 14% a year. The demand for data analytics technology in the marketing will continue to grow as more executives recognize its benefits.
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
JULY 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction This article will be a cakewalk through a consulting project where we will be working with a large technology firm to predict whether certain types of hackers were involved in hacking their servers or not! To solve this real-world problem, we will […]. The post Analyzing Hacker’s Dataset using KMeans MLIB appeared first on Analytics Vidhya.
KDnuggets
JULY 15, 2022
Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.
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
JULY 12, 2022
Data analytics technology has helped many employers boost productivity and increase employee morale. Markets and Markets projects that companies around the world will spend over $3.6 billion on HR analytics by 2024. The sudden interest in data analytics in the human resource management profession are obvious. McKinsey has an entire study published on the merits of using analytics to improve the dynamics of the workplace.
Analytics Vidhya
JULY 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a simple recommendation system. For a given product, we will try to suggest or recommend similar-looking products. E-commerce websites often use such recommender systems. It works on a simple logic – if a consumer shows interest […].
KDnuggets
JULY 14, 2022
Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.
CIO Business Intelligence
JULY 13, 2022
Here’s the secret to creating a board presentation on cybersecurity, according to Victor Shadare, head of cybersecurity at the international publishing giant Condé Nast : “The board doesn’t have time to look at detail as such. They want something that’s going to punch them in the face,” he said. Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy.
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.
DataRobot Blog
JULY 13, 2022
Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.
Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see how to build an application that can recognize digits that are written by hand. The application will recognize our handwriting. Nowadays, technology has increased tremendously, and the computer can recognize anything. Here there are two categories […].
KDnuggets
JULY 11, 2022
Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.
CIO Business Intelligence
JULY 15, 2022
What is vendor management? Vendor management helps organizations take third-party vendor relationships from a passive business transaction to a proactive collaborative partnership. While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security. A sound IT vendor management strategy can help organizations determine which vendor best fits the company’s needs while keeping in mind relevant features, price, availability, risk and sec
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.
Domino Data Lab
JULY 12, 2022
Reproducibility is a cornerstone of the scientific method and ensures that tests and experiments can be reproduced by different teams using the same method. In the context of data science , reproducibility means that everything needed to recreate the model and its results such as data, tools, libraries, frameworks, programming languages and operating systems, have been captured, so with little effort the identical results are produced regardless of how much time has passed since the original pro
Analytics Vidhya
JULY 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential. Unfortunately, a large part of the data collected is not readily ideal for training machine learning models, this increases […].
KDnuggets
JULY 14, 2022
See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.
CIO Business Intelligence
JULY 14, 2022
CIOs of large enterprises have pain points that are complex, underscoring the need for suppliers to listen intently and understand their predicaments. The challenges of managing data, the lifeblood of any enterprise, are continuously evolving and require attention because ignoring them only makes the “pain points” worse. CIOs and their teams look to the tech industry to solve their problems, develop new, cost-effective technology solutions, and make implementation of new solutions smooth and eas
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Domino Data Lab
JULY 14, 2022
The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done. Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators. So the spotlight is on model risk management (MRM) and governance (MRG), two related critical processes for financial services and insurance companies, and the importance of these
Analytics Vidhya
JULY 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction K-means clustering is one of the algorithms which unsupervised machine learning supports hence before moving forward with K-means let’s have background knowledge of the unsupervised learning method. In this method, we don’t have predefined labels unlike the supervised method hence we don’t […].
KDnuggets
JULY 15, 2022
How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.
CIO Business Intelligence
JULY 12, 2022
As anybody in IT can attest, the skills gap companies are facing is real, and it’s getting more pronounced. The Great Resignation trend is hitting IT hard. Nearly 90% of all employers either already have a shortage or expect to face one within a few years. And a third say the problem has already grown worse over the past year alone. Employers are approaching the skills issue proactively.
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
Alation
JULY 15, 2022
Light is both a wave and a particle. Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens.
Analytics Vidhya
JULY 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 as a solution to manage the company’s increasingly complex workflows. Most organizations today with complex data pipelines to […].
KDnuggets
JULY 13, 2022
Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.
CIO Business Intelligence
JULY 11, 2022
The shift to a digital business environment in financial services began well before the pandemic pushed it and other sectors to more rapidly embrace digital transformation. As customers have become increasingly digitally savvy, they demand that financial services firms be more responsive to their needs. Those organizations that don’t make that change risk losing their customers to those that adopted an agile, customer-centric approach to business.
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.
Teradata
JULY 14, 2022
Teradata provides the lowest cost per query for enterprise-scale analytics. Have your doubts? Then please read on.
Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction to AI-powered Applications Many a time while driving, we need to adjust things like in-vehicle seat relaxation function, interior lighting, music, air-conditioning, fragrances, etc, manually while attempting to keep our eyes on the road. However, it is very inconvenient and sometimes it can […].
KDnuggets
JULY 15, 2022
Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables.
CIO Business Intelligence
JULY 13, 2022
In a previous article , we talked about the need for organizations to secure data wherever it resides. The complexity of today’s supply chains brings that need into sharp focus, while highlighting some of the challenges of successfully protecting data. Many organizations today depend on a complex web of partners, vendors, and suppliers to run their business.
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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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