Analytics Vidhya
DECEMBER 29, 2019
Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.
KDnuggets
JANUARY 2, 2020
Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.
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Dataconomy
DECEMBER 31, 2019
A data management plan in a company is not something that can be implemented in isolation by one department or a team in your organisation, it is rather a collective effort – similar to how different players perform in a basketball court. From the smallest schoolyard to the biggest pro. The post Lessons from the Basketball Court for Data Management appeared first on Dataconomy.
Data Science 101
DECEMBER 30, 2019
A bit of a slow news week in the tech world, but that is expected. The full news with all the links is available at Cloud Data Science News – Beta 8. Happy New Year!
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Analytics Vidhya
JANUARY 1, 2020
Introduction I love the sci-fi movie genre. Futuristic scenarios, jaw-dropping visuals, a tight storyline knitting it all together – that’s a recipe for a. The post 10 Under-the-Radar Movies that Show the Power of Machine Learning appeared first on Analytics Vidhya.
KDnuggets
JANUARY 3, 2020
Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
JANUARY 3, 2020
Happy New Year. 2020 is here. A new decade! Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. News. No significant news to report. Hopefully some releases and announcements will be coming next week. Videos. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego.
Alation
JANUARY 2, 2020
Large enterprises invest heavily in modern data and analytic environments. That can be seen in growing revenues for big data and analytics — estimated to be $260 billion in the US by 2020, according to IDC. But while the cost and effort it takes to implement and maintain data environments can be pretty easily measured […]. The post Measuring the Value of Your Analytic Investments with the Alation Data Catalog appeared first on Alation.
KDnuggets
DECEMBER 31, 2019
With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult. While machine learning offers significant power in driving digital transformations, a business must start with the right questions and leave the math to the development teams.
Shreyansh Singh
DECEMBER 29, 2019
The hxp CTF happens every year along with the Chaos Communication Congress (a top security conference). This year was the 36th edition. This CTF is a major CTF, you know this when the CTF has a rating weight of 63.0 on CTFTime. Also, it is one of the qualifier events of DEFCON 2020 CTF. I was playing solo on this one and gave one day to this CTF. I managed to solve 2 problems in the main CTF and 2 in the Junior CTF.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Explosion
DECEMBER 28, 2019
As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. And we realized we had so much that we could give you a month-by-month rundown of everything that happened. We’re also very happy to see our team grow this year, with four new members working under the Explosion umbrella: Sofie Van Landeghem , Adriane Boyd, Walter Henry and Sebastián Ramírez.
DataRobot
DECEMBER 31, 2019
This blog provides a unique take on using machine learning to predict the college football bowl games. With the NCAA college football post-season in full swing, many die-hard fans are either preparing to root for their alma mater or have already vested their energy towards cheering for them. With many big games still on the table (e.g., Alabama vs. Michigan, Georgia vs.
KDnuggets
JANUARY 3, 2020
This post presents a pipeline of building a KNN model in R with various measurement metrics.
KDnuggets
JANUARY 2, 2020
In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
KDnuggets
DECEMBER 30, 2019
For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.
KDnuggets
JANUARY 2, 2020
Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.
KDnuggets
DECEMBER 31, 2019
AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.
KDnuggets
DECEMBER 30, 2019
AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
KDnuggets
DECEMBER 31, 2019
A Gentle Introduction to #Math Behind #NeuralNetworks; Learn How to Quickly Create UIs in Python; I wanna be a data scientist, but. how!?; I created my own deepfake in two weeks.
KDnuggets
JANUARY 3, 2020
The gender gap can extend to the lack of equal representation in certain industries or career paths, and there's an extraordinarily long way to go before people will be on equal footing in the labor market. Human resources professionals can rely on data analytics to make progress.
KDnuggets
DECEMBER 30, 2019
Also: Let’s Build an Intelligent Chatbot; 10 Best and Free Machine Learning Courses, Online; Build Pipelines with Pandas Using pdpipe; Alternative Cloud Hosted Data Science Environments.
Explosion
DECEMBER 28, 2019
As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. And we realized we had so much that we could give you a month-by-month rundown of everything that happened.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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