Analytics Vidhya
DECEMBER 8, 2020
This article was published as a part of the Data Science Blogathon. Introduction The main motto of this post is to give a brief. The post Top 8 Low code/No code ML Libraries every Data Scientist should know appeared first on Analytics Vidhya.
Domino Data Lab
DECEMBER 8, 2020
Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Notebooks give users the ability to choose the languages and libraries of their choice which offers great flexibility but, on the counter, point they can be very code intensive doin
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Analytics Vidhya
DECEMBER 8, 2020
” If I were explicitly trying to be in the top 1%, I might have given up before I got there. It’s such a. The post Kaggle Grandmaster Series – Notebooks Grandmaster and Rank #2 Dan Becker’s Data Science Journey! appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 8, 2020
Big data has had many beneficial changes in our lives, but it has also heightened our concerns about privacy. We are especially worried about our privacy online more than ever before. Some of these concerns can be addressed with VPNs, which are an important gatekeeper for privacy in a world governed more by big data. These days VPNs are as popular as ever, with more than 26% of all internet users relying on them for their internet browsing each month, and this number looks set to continue rising
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
DECEMBER 8, 2020
Introduction Data Science Lifecycle revolves around using various analytical methods to produce insights and followed by applying Machine Learning Techniques, to do predictions from. The post Feature Engineering (Feature Improvements – Scaling) appeared first on Analytics Vidhya.
Alation
DECEMBER 8, 2020
The post Alation 2020.4: Discussing Analyst Productivity with Andrea Levy, Data Science Lead at Alation appeared first on Alation.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Alation
DECEMBER 8, 2020
The post Analytics and Governance, Two Sides of the Data Intelligence Coin appeared first on Alation.
Dataiku
DECEMBER 8, 2020
“Much of the innovation in the insurance industry in recent years has been about creating new products that are delivered in old ways. Digital is the missing link. By combining the possibility of digital with the desire to innovate, insurers can create new revenue streams — serving new customers in areas that were previously inaccessible,” according to the Boston Consulting Group.
Cloudera
DECEMBER 8, 2020
As part of our ongoing commitment to supporting Government regulations and standards in our enterprise solutions, including data protection, Cloudera recently introduced a version of our Cloudera Data Platform, Private Cloud Base product (7.1.5 release) that can be configured to use FIPS compliant cryptography. We have accomplished this significant improvement through supporting the deployment of the Cloudera Data Platform (CDP) Private Cloud Base on FIPS mode enabled RedHat Enterprise Linux (RH
Decision Management Solutions
DECEMBER 8, 2020
by James Taylor, CEO, Decision Management Solutions. Enterprises today are eager to apply machine learning to improve their operations. But how do they ensure that it truly serves their business operations in the most optimal way? After all, the end goal is to achieve better business outcomes. Machine learning can improve operations, but only when its predictive models are deployed, integrated, and—most importantly—acted upon.
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.
Jet Global
DECEMBER 8, 2020
If your company is planning to implement Microsoft’s Power BI analytics platform , it is critically important that you understand the complexity involved with a complete implementation. Power BI is not just a product you install and configure; it is a many-month-long software project built on a complicated mix of technology components. It requires extensive planning and top-notch project management skills to get right.
Depict Data Studio
DECEMBER 8, 2020
I recently had the chance to talk with my longtime friend, Ben L. Collins, who is THE Google Sheets instructor. Ben joined as a special guest at Office Hours (special live sessions for full course students where we share ideas and give feedback on each other’s projects). Ben shared about his consulting and training work with Sheets, and his personal take on Sheets – favorite features, surprising features, and so on.
Teradata
DECEMBER 8, 2020
The bold CFO that steps into the breach and takes ownership of the bank’s data asset can transform the way they work and add massive value. Learn more.
Nutanix
DECEMBER 8, 2020
The future of healthcare requires embracing technology—including cloud technologies—to secure, organize, and protect patient data.
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.
Teradata
DECEMBER 8, 2020
Teradata Vantage on AWS transforms private healthcare company to create “Better Health for Better Lives.
Nutanix
DECEMBER 8, 2020
The future of healthcare requires embracing technology—including cloud technologies—to secure, organize, and protect patient data.
Cloudera
DECEMBER 8, 2020
Two years ago we wrote a research report about Federated Learning. We’re pleased to make the report available to everyone, for free. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place — on smartphones, industrial sensing equipment, and other edge devices — and models are trained on-device.
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