Mon.Aug 05, 2019

article thumbnail

Dwell Time, Agent Smith and Modernizing Your SIEM

CDW Research Hub

The more data, users and devices there are, the more points of vulnerability and risks of cyberattack there are. So why are so many IT departments relying on out-of-date cybersecurity technologies? For some, this is a byproduct of a limited budget or the skills shortage. For others, the lack of a significant incident might be giving the situation less imperative than it needs.

article thumbnail

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Getting Started With Data Science

KDnuggets

Over the past many months, I’ve received hundreds of messages from people asking me how they could get started with Data Science. Therefore, I thought it would be useful to write down a framework for those wanting to get started with Data Science.

article thumbnail

Data Ethics: Contesting Truth and Rearranging Power

Domino Data Lab

This Domino Data Science Field Note covers Chris Wiggins ‘s recent data ethics seminar at Berkeley. The article focuses on 1) proposed frameworks for defining and designing for ethics and for understanding the forces that encourage industry to operationalize ethics, as well as 2) proposed ethical principles for data scientists to consider when developing data-empowered products.

article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

article thumbnail

Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment

KDnuggets

This is an excerpt from a survey which sought to evaluate the relevance of machine learning in operations today, assess the current state of machine learning adoption and to identify tools used for machine learning. A link to the full report is inside.

article thumbnail

Performance Improvements in the Jet 20.3 Release

Jet Global

We’re over halfway through the year and you know what that means? It’s time for a new Jet Release! So, let’s get you up to speed on what you can expect to see when you update your Jet products to version 20.3 this August. In an effort to continuously evolve our reporting, business intelligence, and budgeting solutions, we always have our ear to the ground listening to customer feedback.

More Trending

article thumbnail

The cost of data warehouse appliance complexity: Comparing IAS and IntelliFlex

IBM Big Data Hub

In a previous blog , I explained how data science capabilities, massive parallel processing (MPP). and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice?

article thumbnail

How to better manage your data science team’s workflow

KDnuggets

This workshop, Aug 14 @ 12 PM ET, will give you the proper tools and tactics to manage the entire lifecycle of your machine learning projects, from research to exploration to development and production.

article thumbnail

Our Top 20 Most-Read Data and Analytics Research Last Week (to Aug 3)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Peter Krensky ‘s new note, on upskilling efforts in data science and machine learning, goes straight to the top of the charts this week. Out of interest, our most popular note in any one week this year (since Feb 10, when I started looking at this), is Saul Judah ‘s: 5 Steps to Build a Business Case for Data and A

article thumbnail

Top Stories, Jul 29 – Aug 4: Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning; What 70% of Data Science Learners Do Wrong

KDnuggets

Also: GPU Accelerated Data Analytics & Machine Learning; Understanding Tensor Processing Units; Top 13 Skills To Become a Rockstar Data Scientist; Five Command Line Tools for Data Science; Ten more random useful things in R you may not know about.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

article thumbnail

Thank you to Ankit Rathi for including me in his list of Data Science / Artificial Intelligence practitioners that he admires

Peter James Thomas

It’s always nice to learn that your work is appreciated and so thank you to Ankit Rathi for including me in his list of Data Science and Artificial Intelligence practitioners. I am in good company as he also gives call outs to: Bernard Marr. George Firican – who of course is one of the contributors to The Data & Analytics Dictionary.

article thumbnail

How Virtual Desktops Benefit Your Organization

Nutanix

Virtual desktops are rapidly replacing physical desktops and laptops in many work environments. These virtual workspaces may be delivered by virtual desktop infrastructure (VDI) running in your data center, or desktop-as-a-service (DaaS) solutions in the cloud.

20
article thumbnail

DataRobot at the 2019 Comcast PHLAI Conference

DataRobot

Comcast’s third annual PHLAI Conference - taking place on August 15th at the Comcast Technology Center in Philadelphia - will be focused around using artificial intelligence and machine learning to improve the customer experience. As the industry leader in machine learning, with hundreds of use cases focusing on improving the customer experience across all industries, DataRobot was invited to present at the conference, with a session led by Gourab De, DataRobot’s VP of Data Science.

article thumbnail

Nutanix AOS 5.11 is Here!

Nutanix

The Nutanix AOS releases together enhance the core AOS storage performance, capacity, data protection, and more. Read some of the key updates & highlights!

20
article thumbnail

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.