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

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 303

Python 303

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

DataRobot

JULY 25, 2019

In our first blog post on the topic of AI Ethics, we covered the promise that artificial intelligence (AI) holds to improve the speed, accuracy, and operations of businesses across a range of industries. With the potential of AI, it’s hard to believe that businesses are hesitating to move forward with AI projects, but fear holds people back. They fear making mistakes that could damage their company’s reputation or doing something illegal or unethical.

Artificial Intelligence 92

Artificial Intelligence Artificial Intelligence AI AI 92

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

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 300

Data Science Algorithm Analytics Analytics 300

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 299

Deep Learning Deep Learning 299

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

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 281

Analytics Analytics Data Science Machine Learning 281

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 305

Data Scientist SQL Big Data Big Data 305

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 80

Big Data Big Data 80

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

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

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 243

Data Science Analytics Analytics Machine Learning 243

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 272

Data Scientist SQL Data Science Database 272

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 79

Business Intelligence Business Intelligence Power BI Tableau 79

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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

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 197

Natural Language Processing Analytics Analytics 197

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 299

Data Science Data Preparation 299

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.

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Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

JULY 25, 2019

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

Machine Learning 306

Machine Learning Machine Learning Data Science Analytics 306

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 220

Deep Learning Deep Learning 220

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 130

AI AI 130

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 120

Algorithm Natural Language Processing 120

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

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 120

Machine Learning Machine Learning Data Science Python 120

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 116

Machine Learning Machine Learning AI AI 116

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 136

Data Science 136

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 112

Analytics Analytics 112

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

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.

Big Data 73

Big Data Big Data Predictive Analytics Analytics 73

Smart Data Collective

JULY 22, 2019

Cyberattacks are becoming more prevalent these days. A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! One of the reasons the cost is rising is due to an increase in social engineering and AI by savvy hackers. Social engineering is used in many online scams. A growing number of hackers are using it in lieu of old school, brute force hacking strategies.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence AI AI 70

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 69

Big Data Big Data AI AI 69

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 75

Data Science Big Data Big Data Artificial Intelligence 75

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.