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 12, 2019
Do you remember what it was like trying to buy a house before the days of online listings? If you were born after about 1980, you probably never experienced that. The internet has catapulted the real estate industry into a world where people can buy houses site-unseen and sign the paperwork without ever meeting in person. And it’s only just beginning. 2019 has hailed in an incredible era of mobile-centric technology, automation, smart tools, and other electronic marvels that make real estate tra
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?
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
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 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.
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.
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.
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 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.
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 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.
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
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
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.
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.
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.
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.
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.
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