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!
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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
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.
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.
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.
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.
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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.
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.
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.
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
KDnuggets
JANUARY 3, 2020
This post presents a pipeline of building a KNN model in R with various measurement metrics.
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
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
DECEMBER 31, 2019
AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
KDnuggets
DECEMBER 30, 2019
AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.
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.
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