Analytics Vidhya
JULY 21, 2019
Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.
KDnuggets
JULY 26, 2019
Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.
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Dataconomy
JULY 26, 2019
With a saturated analytics and business intelligence (A&BI) market, why are we still struggling to make analytics platforms work for Data Scientists? And perhaps more importantly, why are we failing to see a return on our expensive Data Science initiatives? It’s not for a lack of effort, a lack of. The post Why analytics platforms are failing your Data Scientists appeared first on Dataconomy.
Smart Data Collective
JULY 25, 2019
The healthcare industry is happily embracing big data. Hospitals around the world are finding that data can have a profound impact on their operations. A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems. Big Data is the Key to Improving the Efficiency of Hospital Management Systems?
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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 22, 2019
Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya.
KDnuggets
JULY 24, 2019
Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
JULY 25, 2019
Not long ago, big data was one of the most talked about tech trends , as was artificial intelligence (AI). But, in case people need a reminder of how fast technology evolves , they only need to consider something newer — big data AI. It combines elements of both technologies. AI allows computers to perform cognitive functions, much like the human brain.
Analytics Vidhya
JULY 25, 2019
Overview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems. The post Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! appeared first on Analytics Vidhya.
KDnuggets
JULY 26, 2019
Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.
Victor Zhou
JULY 24, 2019
Recurrent Neural Networks (RNNs) are a kind of neural network that specialize in processing sequences. They’re often used in Natural Language Processing (NLP) tasks because of their effectiveness in handling text. In this post, we’ll explore what RNNs are, understand how they work, and build a real one from scratch (using only numpy ) in Python. This post assumes a basic knowledge of neural networks.
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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?
Smart Data Collective
JULY 25, 2019
The Global Data Protection Regulation (GDPR) was enacted in May 2018. This law was one of the most revolutionary attempts to strengthen privacy rights in the European Union. Many experts are still trying to determine how effective the law has been. The GDPR has provided some important safeguards to consumers in the European Union and abroad. Since all companies that cater to European consumers must abide by these regulations, consumers outside of the European Union can still benefit from them wh
Analytics Vidhya
JULY 24, 2019
We are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers. The post DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform appeared first on Analytics Vidhya.
KDnuggets
JULY 25, 2019
As long as there is ‘data’ in data scientist, Structured Query Language (or see-quel as we call it) will remain an important part of it. In this blog, let us explore data science and its relationship with SQL.
Victor Zhou
JULY 22, 2019
Softmax turns arbitrary real values into probabilities , which are often useful in Machine Learning. The math behind it is pretty simple: given some numbers, Raise e (the mathematical constant) to the power of each of those numbers. Sum up all the exponentials (powers of e e e ). This result is the denominator. Use each number’s exponential as its numerator.
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 22, 2019
Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Regardless of the scale of your business, implementing the right business intelligence tool can help you get more use of your data than ever and drive more profit.
Analytics Vidhya
JULY 23, 2019
Introduction Chatbots are the most common application of Natural Language Processing (NLP). Organizations are scrambling to integrate chatbots into their daily functions to enhance. The post DataHack Radio #24: Exploring and Designing Chatbots with RASA’s Justina Petraityt? appeared first on Analytics Vidhya.
KDnuggets
JULY 26, 2019
This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.
DataRobot
JULY 23, 2019
In February of this year, President Trump issued an important executive order that directs federal agencies to help maintain U.S. leadership in artificial intelligence research, development, and deployment. The order provides a five-point coordinated government strategy. It directs agencies to invest in AI research, develop technical standards, train Americans in the new skills they will need for the jobs of the future, police AI applications to protect civil liberties, and to open world markets
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.
Smart Data Collective
JULY 23, 2019
C rypto trading is a risky activity that may lead to substantial losses. The author doesn’t take responsibility for any consequences of the readers’ deals. What do you think about expert steel-makers? What about professional truck drivers? How do committed teachers feel? All of them succeed because they dedicate everything they have to one occupation or one goal.
KDnuggets
JULY 25, 2019
Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.
KDnuggets
JULY 25, 2019
Find out how to use randomness to learn your data by using Noise Contrastive Estimation with this guide that works through the particulars of its implementation.
KDnuggets
JULY 25, 2019
ODSC focuses on research at its conferences and invites the experts pushing the boundaries of AI to speak. Between the two upcoming conferences, researchers from more than 20 of the top research institutes in the country (Open AI, NASA’s JPL, Google, MIT CSAIL, BAIR, The Turing Institute, and Max Planck and more) will deliver talks and lead trainings at ODSC West 2019.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
KDnuggets
JULY 24, 2019
Learn how to incorporate security into your practices without slowing down your project. Read this ActiveState blog post to learn more.
KDnuggets
JULY 25, 2019
Analyst firm Cognilytica estimates that as much as 80% of machine learning project time is spent on aggregating, cleaning, labeling, and augmenting machine learning model data. So, how do innovative machine learning teams prepare data in such a way that they can trust its quality, cost of preparation, and the speed with which it’s delivered?
KDnuggets
JULY 24, 2019
Developers are always searching for answers to questions about their code. But how do they ask the right questions? Facebook is creating new NLP neural networks to help search code repositories that may advance information retrieval algorithms.
KDnuggets
JULY 24, 2019
Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; The Hundred-Page Machine Learning Book Book Review; The Evolution of a ggplot; Notes on Feature Preprocessing: The What, the Why, and the How.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
KDnuggets
JULY 25, 2019
Responsible for operational leadership and management of the Master of Science in Business Analytics programs. Serves as a thought partner with the program Associate Dean to develop and execute program strategy.
Smart Data Collective
JULY 24, 2019
At Smart Data Collective, we often emphasize the biggest trends in the field of big data. We have talked extensively about the application of big data in everything from large-scale marketing to criminal justice reform. However, the benefits of big data can also be extended to simpler, everyday tasks, such as scheduling. Big Data Offers New Scheduling Solutions.
Smart Data Collective
JULY 24, 2019
Big data is often used to make the world safer. We can use big data to develop better predictive analytics tools to identify risks and take the right precautions. One of the best examples is with using big data to protect driver safety. Companies that use big data can create better contingency plans. They will make sure that the right measures are in place to avoid the risk of injuries and deaths on the road.
Smart Data Collective
JULY 25, 2019
In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport. The NBA might not rely on analytics quite as much as the MLB , but all 30 teams are heavily investing more and more money into this side of their business.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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