Analytics Vidhya
MARCH 13, 2020
Pivot tables – the Swiss Army Knife of data analysis I love how quickly I can analyze data using pivot tables. With one click. The post Here’s How to Build a Pivot Table using Pandas in Python appeared first on Analytics Vidhya.
Data Science 101
MARCH 13, 2020
Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Data Science 101.
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KDnuggets
MARCH 13, 2020
After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.
Smart Data Collective
MARCH 13, 2020
It doesn’t matter what the project or desired outcome is, better data science workflows produce superior results. But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. 5 Tips for Better Data Science Workflows. Data science is a complex field that requires experience, skill, patience, and systematic decision-making in order to be successful.
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.
KDnuggets
MARCH 13, 2020
I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.
Smart Data Collective
MARCH 13, 2020
Big data has opened up a can of worms when it comes to online privacy. A poll cited by Broadband Now shows that 95% of Americans are concerned about their online privacy, but only 50% are taking action to safeguard it. This has opened up discussions about the benefits of online proxies. Concerns about online privacy have peaked this week. A bipartisan bill by Senators Dianne Feinstein and Linsey Graham would require online platforms to make messages unencrypted.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Timo Elliott
MARCH 13, 2020
I’m an Innovation Evangelist for SAP. I typically spend this time of year on the road at conferences, but like many others I suddenly find myself spending more time in the virtual world! After some requests from others, please find below a write-up of how I do interactive presentations (in Zoom, Skype, etc.) in front of PowerPoint slides. First, a couple of examples (I got better at using the green screen tool after I did the second video — far less “halo” artifacts now).
Insight
MARCH 13, 2020
Learn how the best teams adapt to interviewing while they WFH At Insight , we partner with companies to build and scale their tech teams. In the last few weeks, teams that we work with have been transitioning to remote work to keep their teams safe and do what they can to limit the spread of coronavirus. We’ve seen the most proactive among them quickly shift their interview processes to include more remote options.
Jet Global
MARCH 13, 2020
If you’re an EBS customer, the notion of moving to the cloud in the future can leave you wondering what is going to happen to your reporting. Between creation and migration, you’re going to want to make sure the transition to the cloud is as seamless as possible. Join our one-hour webinar with Oracle EBS Specialist John Brooks where he will share how you can: Get the most from your EBS investment with third-party finance-owned reporting solutions.
FineReport
MARCH 13, 2020
Anda mungkin pernah membaca artikel atau ulasan tentang aplikasi pembuat laporan atau aplikasi laporan open-source. Apakah Anda sudah memutuskan software mana dari daftar tersebut untuk dipakai? Apakah Anda bingung dalam memilih mana yang terbaik? Sebelum Anda memilih, tanya diri Anda sendiri, apakah Ada tahu jawaban dari pertanyaan-pertanyaan dibawah ini?
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.
Data Science 101
MARCH 13, 2020
Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Ryan Swanstrom.
FineReport
MARCH 13, 2020
Anda mungkin pernah membaca artikel atau ulasan tentang aplikasi pembuat laporan atau aplikasi laporan open-source. Apakah Anda sudah memutuskan software mana dari daftar tersebut untuk dipakai? Apakah Anda bingung dalam memilih mana yang terbaik? Sebelum Anda memilih, tanya diri Anda sendiri, apakah Ada tahu jawaban dari pertanyaan-pertanyaan dibawah ini?
Nutanix
MARCH 13, 2020
IT people are a special breed. Sure, we’re technologists and engineers. But we have more dimensions than that. Right next to that “tech is awesome” streak we have a “process is cool” streak.
Jet Global
MARCH 13, 2020
Financial intelligence. Traditionally, this meant tracking a small set of numbers at occasional intervals, such as in the month-end close or the quarterly financial report. Companies thought they could understand everything (or at least enough) by focusing on a fixed point in the past. While that may have been adequate then, it’s not adequate now.
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.
Nutanix
MARCH 13, 2020
IT people are a special breed. Sure, we’re technologists and engineers. But we have more dimensions than that. Right next to that “tech is awesome” streak we have a “process is cool” streak.
Nutanix
MARCH 13, 2020
IT people are a special breed. Sure, we’re technologists and engineers. But we have more dimensions than that. Right next to that “tech is awesome” streak we have a “process is cool” streak.
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