Analytics Vidhya
JULY 10, 2019
Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to. The post 21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!) appeared first on Analytics Vidhya.
Dataconomy
JULY 9, 2019
Can you fight cancer with the help of Big Data and Machine Learning? How can these technologies help in the procedure of diagnosis, drug discovery and treating cancer? Cancer is an ailment with a long tail distribution. This implies there are different explanations for this condition to take place with. The post Have we lost the cancer battle? No! – say Big Data and Machine Learning appeared first on Dataconomy.
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Smart Data Collective
JULY 9, 2019
Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important. Companies have been able to perform more in-depth customer analysis—above and beyond social media commentary and feedback surveys—with the development and proliferation of analytics.
DataRobot
JULY 10, 2019
As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, it seems like everyone wants to get in on the action. And who can blame them? AI promises improved accuracy, speed, scalability, personalization, consistency, and clarity in every area of business. With all those benefits, why are some businesses hesitating to move forward?
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
JULY 9, 2019
Introduction You’ve finally done it! You have landed an interview for a data science role. Now, a day before your interview, you’re not sure. The post Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview appeared first on Analytics Vidhya.
Dataconomy
JULY 10, 2019
What algorithms do dating apps use to find your next match? How is your personal data impacting your decision to go on a date? How is AI affecting your dating life? Find out below. Technology has changed the way we communicate, the way we move, and the way we consume. The post How Is Data Affecting Your Dating Life? appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot Blog
JULY 9, 2019
by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.
Analytics Vidhya
JULY 7, 2019
Overview How can you build an effective and powerful data science resume that will win over recruiters? Here are 4 key aspects you should. The post How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application appeared first on Analytics Vidhya.
Data Science 101
JULY 8, 2019
Online courses are a great way to share knowledge with others; that is why I have decided to launch a few courses. The first course is Intro to Azure ML Studio – Regression. This is a smaller course and should take about 2 hours to complete. Azure ML Studio is a drag-and-drop interface for doing machine learning. Topics are all based upon Azure ML Studio, and they include: Linear Regression Linear Correlation Feature Selection Splitting Data Evaluating a model.
Smart Data Collective
JULY 11, 2019
It is no longer a secret that Big Data has left a major footprint on the financial market and has changed the way we interact with financial institutions. However, its influence goes much farther. Trading, which is an field that welcomes change and adopts disruptive innovations early, now also benefits from the ramifications of Big Data and is transforming to the benefit of both parties involved: traders and brokers.
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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?
DataCentric podcast
JULY 10, 2019
It's been a big week for IBM. The company closed its acquisition of Red Hat, while also expanding its storage offerings. We bring in IBM's Storage group CMO Eric Herzog to tell us all about the new storage offerings. For Eric, it's all about Applications, Workloads, and Use Cases, but with a strong focus on data protection and Big Data/AI.
Analytics Vidhya
JULY 8, 2019
Overview Using data science algorithms to generate art and music? These 8 AI projects will blow your mind Tap into your creative and artistic. The post 8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More! appeared first on Analytics Vidhya.
Machine Learning World
JULY 8, 2019
Want become an expert in Computer Vision & Object Detection? Subscribe on New Practical Course SVD Geometric meaning The main idea of SVD is that matrix A is basically a linear transformation. And SVD decompose it into 3 factors Rotation(U)*Scaling/Shear(Σ)*Rotation(V). This gives you interesting posibilities like use it for dimension reduction(that i will show in PCA example), or for point mathching in space Nice interactive demo: [link] How to compute SVD We have matrix A for which we want
Smart Data Collective
JULY 8, 2019
Companies around the world are looking for ways to minimize the costs of accidents. Many regulators have found that the number of accidents in various industries is grossly unacceptable and have started imposing new penalties. The good news is that new advances in big data have made it easier for them to look for ways to prevent these horrific problems.
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.
Smart Data Collective
JULY 11, 2019
Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach. A growing number of web-based companies are using big data to interact more with their users.
Smart Data Collective
JULY 10, 2019
Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. More than 15,000 hospitals around the world collect real-time data on their patients.
Smart Data Collective
JULY 11, 2019
Data loss is a common problem that many people face. The average data loss in incident at the corporate level costs $5.4 million. These costs might be lower for smaller businesses, but the consequences can be even higher, considering that they have more limited budgets. The good news is that big data technology has made data recovery more effective.
Machine Learning World
JULY 8, 2019
Want become an expert in Computer Vision & Object Detection? Subscribe on New Practical Course In this part of lectures we will talk about simplest “ml models” — polynoms. that’s it — polynom But alone polynoms is just some function, so we will also talk about Interpolation of them and will try to make ith with Least Squares method. Let’s start from looking at magic: [link] Blue — polynom of 1st order, Green — polynom of 2nd order.
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.
Machine Learning World
JULY 8, 2019
Want become an expert in Computer Vision & Object Detection? Subscribe on New Practical Course Problem We need to find best rotation & translation params between two sets of points in 3D space. This type of transformation called Euclidean as it preserves sizes. Our task to solve equation R*A + t = B Solution There are many ways of getting things done almost in any case, but currently we will use SVD for this.
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