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.

Data Scientist 307

Data Scientist Big Data Big Data SQL 307

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.

Python 307

Python Analytics Analytics Deep Learning 307

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.

Data Scientist 184

Data Scientist Analytics Analytics Business Intelligence 184

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?

Big Data 110

Big Data Big Data Predictive Analytics Machine Learning 110

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

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.

Python 307

Python 307

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.

Data Science 305

Data Science Algorithm Analytics Analytics 305

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.

Big Data 107

Big Data Big Data AI AI 107

KDnuggets

JULY 25, 2019

Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

Machine Learning 307

Machine Learning Machine Learning Data Science Analytics 307

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.

Analytics 289

Analytics Analytics Data Science Machine Learning 289

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.

Python 72

Python Machine Learning Machine Learning Natural Language Processing 72

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.

AI

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.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

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.

Data Science 307

Data Science Data Preparation 307

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.

Data Science 280

Data Science Analytics Analytics Machine Learning 280

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.

Machine Learning 52

Machine Learning Machine Learning Python 52

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

AI

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

Big Data 103

Big Data Big Data 103

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.

Deep Learning 307

Deep Learning Deep Learning 307

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.

Natural Language Processing 252

Natural Language Processing Analytics Analytics 252

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

Artificial Intelligence 71

Artificial Intelligence Artificial Intelligence AI AI 71

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.

AI

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.

Analytics 96

Analytics Analytics Data Science Data Analyst 96

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.

Data Scientist 299

Data Scientist SQL Data Science Database 299

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.

Deep Learning 242

Deep Learning Deep Learning 242

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.

Data Science 159

Data Science 159

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?

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.

AI 149

AI AI 149

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.

Algorithm 135

Algorithm Natural Language Processing 135

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.

Machine Learning 135

Machine Learning Machine Learning Data Science Python 135

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?

Machine Learning 124

Machine Learning Machine Learning AI AI 124

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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.

Analytics 117

Analytics Analytics 117

Smart Data Collective

JULY 24, 2019

Artificial intelligence is changing the nature of payroll. According to Accounting Today, AI is starting to merge many traditional accounting and payroll functions , which will simplify a lot of business processes. One of the biggest examples is with the advent of Single Touch Payroll. Single Touch Payroll is the Biggest Breakthrough in AI Driven Accounting Solutions.

Big Data 93

Big Data Big Data AI AI 93

Smart Data Collective

JULY 24, 2019

The big data revolution has changed the way people do business online, but it has also inevitably given rise to new types of cyber-attacks. Today, cybercriminals are using highly sophisticated methods to infiltrate websites, web servers, and web applications to access critical data or paralyze operations. They take advantage of big data and artificial intelligence to orchestrate more vicious attacks, so businesses need to be prepared.

Big Data 92

Big Data Big Data SQL AI 92

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.

Data Science 87

Data Science Big Data Big Data Artificial Intelligence 87

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!