KDnuggets
OCTOBER 24, 2022
Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.
Analytics Vidhya
OCTOBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Niti Ayog, one of the transforming national institutions, has published an article on Blockchain use cases in India. Few questions about Blockchain, why Blockchain, and how we can deploy our applications through the docker and Kubernetes we should know. Objectives We will discuss […].
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Dataconomy
OCTOBER 31, 2022
AI-powered drug development can shorten the time it takes to acquire and access information, cutting pharmaceutical development time in half and keeping the cost of new medications under control. This is becoming increasingly crucial as the cost of discovering and developing new drugs rises. Despite several accomplishments, certain challenges must.
Dataversity
OCTOBER 2, 2022
AI models have been proven to enhance critical processes that influence bottom lines, from predicting and preventing churn to detecting instances of fraud. But AI has also made headlines for producing harmful business and societal results, such as discriminating against individuals based on race or gender.
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.
Smart Data Collective
OCTOBER 31, 2022
Artificial intelligence is drastically changing the future of finance. Financial institutions spent over $10.1 billion on AI last year. One of the many ways that AI is being leveraged in finance is by helping improve the experience of investors. Modern investors enjoy a much smoother trading experience than their predecessors. Thanks to the invention of the internet, everything from conducting trades to downloading comprehensive reports can be completed almost instantly.
FlowingData
OCTOBER 13, 2022
Introduction to Data Science , by Harvard biostatistics professor Rafael A. Irizarry, is an open source book that provides, as you might have guessed, an introduction to data science: The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
OCTOBER 7, 2022
This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].
Dataconomy
OCTOBER 11, 2022
Cyber terrorism actors use the internet to carry out violent activities that cause or threaten serious physical harm or the loss of life to advance political or ideological goals through intimidation or threat. Internet terrorism can take the form of planned, widespread disruption of computer networks, particularly personal computers connected.
Dataversity
OCTOBER 31, 2022
IT Service Management (ITSM) and business platforms have enabled enterprises to rapidly build and buy cloud solutions and applications that improve modern business. Platforms like ServiceNow, Salesforce, and Workday take the guesswork out of adopting new tools that can automate workflows, ease compliance and security woes, and smooth business operations.
Smart Data Collective
OCTOBER 16, 2022
Artificial intelligence is driving a number of changes in the financial sector. We pointed out that AI has created new opportunities for investors purchasing real estate stocks. However, it is also creating unique trading opportunities for those using nontraditional investing decisions. One of the ways that smart investors can use AI is with short-selling.
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.
FlowingData
OCTOBER 14, 2022
MLU-Explain continues with their visual explainers for machine learning and statistical concepts. Most recently, Jared Wilber gets into linear regression. Towards the bottom of the explainer, there’s an interactive chart that lets you place dots on the plot and the fitted line updates as you go. Nice. Tags: MLU-Explain , regression.
KDnuggets
OCTOBER 14, 2022
Leveraging sparse matrix representations for your data when appropriate can spare you memory storage. Have a look at the reasons why, see how to create sparse matrices in with Python, and compare the memory requirements for standard and sparse representations of the same data.
Analytics Vidhya
OCTOBER 14, 2022
Introduction One of the most crucial and in-demand talents in 2022 is Data Science. To accommodate this need, more and more businesses are starting to offer boot camps while universities are creating new courses. However, tons of resources are available over the internet for free, and deciding where to go to find the best resources […]. The post Top Ten YouTube Channels On Data Science appeared first on Analytics Vidhya.
Dataconomy
OCTOBER 12, 2022
Data analytics and artificial intelligence are changing how businesses decide their paths today. All we hear about is data these days. We hear about how much is produced, how crucial it is, and how corporations use it to further their objectives and boost profits. Yet how? Yes, much of it.
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.
Dataversity
OCTOBER 26, 2022
In arguably the most iconic scene from Bladerunner, replicant Roy Batty describes his personal memories as “lost in time, like tears in rain.” Until immortality is invented, we’ll have to settle for solving the same problem in data enablement. Actionable data lost to time. How are we still talking about this? With incredible advances in data […].
Smart Data Collective
OCTOBER 8, 2022
Cloud technology is changing some of the most core aspects of our lives. A growing number of students are finding ways to leverage the cloud to improve their learning experience. Education Technology Magazine has published an article on some of the most surprising ways that cloud technology is changing academia. Most of their focus was on their focus has been on the benefits of using cloud technology from the standpoint of educators.
FlowingData
OCTOBER 3, 2022
Simon Willison asked a straightforward question about the tools people use : If someone gives you a CSV file with 100,000 rows in it, what tools do you use to start exploring and understanding that data? Then he expanded the question asking what people use for files with 1 million rows, 10 million rows, and 1 billion rows. Browse the thousands of replies, and you quickly see that (1) there are many options to explore a dataset and (2) many people feel that what they’re using is the best op
KDnuggets
OCTOBER 12, 2022
Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?
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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.
Analytics Vidhya
OCTOBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks. Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […].
Dataconomy
OCTOBER 28, 2022
Artificial intelligence tools are having an ever-increasing effect on our technology, often in unexpected ways. Many of the most contemporary AI technologies are open to anybody who wants to utilize them, with or without a computer science degree. We’ve produced a list of some of our current favorites that might.
Dataversity
OCTOBER 13, 2022
Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get the resources to build out the technical infrastructure required to use AI at scale, when we have not proven the value yet? How do we create a culture of data-driven decision-making […]. The post Getting to AI Adoption at Scale appeared first on DATAVERSITY.
Smart Data Collective
OCTOBER 1, 2022
We have previously talked about ways that big data is changing the world of sports. Formula 1 teams are among those most affected. Ever since the Oakland A’s switched their recruitment policy from a players’ running speed and strength to a more sophisticated and nuanced look at the on-base slugging percentage, the world of sports has become more and more accustomed to utilizing sports analytics in their team-building.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
FlowingData
OCTOBER 25, 2022
Chris Gilliard, for The Atlantic, describes self-surveillance that people pay for in exchange for small conveniences at the expense of privacy : The conveniences promised by Amazon’s suite of products may seem divorced from this context: I am here to tell you that they’re not. These “smart” devices all fall under the umbrella of what the digital-studies scholar David Golumbia and I call “ luxury surveillance “—that is, surveillance that people pay for and whos
KDnuggets
OCTOBER 11, 2022
A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.
Analytics Vidhya
OCTOBER 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].
Dataconomy
OCTOBER 31, 2022
Can Mastodon social media be a Twitter alternative/replacement? Many users are leaving Twitter due to Elon Musk’s takeover, or at the very least, threatening to leave in favor of an alternative. Many users claim that their decision was motivated by either a dislike of Musk or concerns that his proposed.
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.
Dataversity
OCTOBER 10, 2022
We all know data is valuable to our businesses. And we all know that we should be able to do more with that data. Just as Michelangelo said that every block of stone has a statue inside it and it is the task of the sculptor to discover it, so every set of data has […]. The post How to Modernize Analytics Strategies with Operational Data appeared first on DATAVERSITY.
Smart Data Collective
OCTOBER 27, 2022
The fast-paced world of cybersecurity waits for none, and even seasoned professionals can find that years have passed them by if they take a short hiatus and stop staying up to date. Given the nature of this sector, it’s often compared with statecraft, with the constantly evolving threat matrix making it essential to stay on top of developments, and regularly upskill in order to better respond to challenges.
FlowingData
OCTOBER 20, 2022
When you pay for internet, it seems like a reasonable expectation that if you pay the same monthly rate as someone a few blocks from you, you get a similar speed. This is commonly not always the case. Leon Yin and Aaron Sankin, for The Markup, with the analysis : The Markup gathered and analyzed more than 800,000 internet service offers from AT&T, Verizon, Earthlink, and CenturyLink in 38 cities across America and found that all four routinely offered fast base speeds at or above 200 Mbps i
KDnuggets
OCTOBER 7, 2022
There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.
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.
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