Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. Computer vision has advanced considerably but is still challenged in matching the precision of human perception. This article belongs to computer vision. Here we will learn from scratch. It can be challenging for beginners to distinguish between different related computer vision tasks.

Data Science 394

Data Science Publishing Analytics IT 394

David Menninger's Analyst Perspectives

MARCH 2, 2022

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment.

Analytics 215

Analytics Statistics Machine Learning Business Intelligence 215

Smart Data Collective

MARCH 1, 2022

AI technology is changing many aspects of modern business. More companies are using AI technology to automate their social media marketing strategies. We previously mentioned the benefits of using data analytics to make the most of social media marketing. However, AI is arguably even more important. Social media is a highly profitable way to market.

Marketing 121

Marketing Data-driven Cost-Benefit ROI 121

KDnuggets

MARCH 4, 2022

While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

Statistics 160

Statistics Machine Learning Modeling 160

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Analytics Vidhya

MARCH 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.

Deep Learning 400

Deep Learning Modeling Data Science Publishing 400

Dataiku

MARCH 3, 2022

There is a global push for digital transformation and taking an “innovation first” approach, but, up to 80% of these initiatives will fail. Organizations approach data science and analytics platforms with the expectation of large projects that provide large returns on investment. However, the success of small projects can have a much broader impact on company-wide technology adoption.

Technology 111

Technology Digital Transformation Data Science Analytics 111

KDnuggets

MARCH 4, 2022

How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.

160

160

Analytics Vidhya

MARCH 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […].

Deep Learning 399

Deep Learning Machine Learning Data Science Publishing 399

Dataiku

MARCH 4, 2022

Since the Spanish flu, countries around the globe have established government organizations and departments of health in order to implement public health mandates and coordinate and manage national health responses during times of crisis (i.e., the global health crisis that began in 2020 or natural disasters such as droughts, bushfires, and floods, among others).

Optimization 103

Optimization Measurement Management 103

Smart Data Collective

MARCH 2, 2022

Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects. Most data scientists are using some form of DevOps interface these days. One of the most popular is Kubernetes.

Cost-Benefit 136

Cost-Benefit Data Science Interactive Management 136

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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?

Analytics

KDnuggets

MARCH 2, 2022

Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

IT 153

IT 153

Analytics Vidhya

MARCH 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction The activation function is defined as follows: The activation function calculates a weighted total and then adds bias to it to decide whether a neuron should be activated or not. The Activation Function’s goal is to introduce non-linearity into a neuron’s output.

Deep Learning 399

Deep Learning Data Science Publishing Analytics 399

TDAN

MARCH 1, 2022

This article is the third in a series taking a deep dive on how to do a current state analysis on your data. This article focuses on data culture, what it is, why it is important, and what questions to ask to determine its current state. The first two articles focused on data quality and data […].

Data Quality 98

Data Quality IT Data Strategy Data Governance 98

Smart Data Collective

MARCH 3, 2022

There is no question that data has become a valuable asset to almost every organization. Companies use big data to optimize their marketing strategies, maintain better relationships with their customers, manage their financial strategies and improve human resources capabilities. Unfortunately, data isn’t always easy to manage. You need to rely on the services of a well trained specialist that understands the nuances of big data technology.

Strategy 111

Strategy Management Cost-Benefit Data Processing 111

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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.

Visualization

KDnuggets

MARCH 3, 2022

In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. .

Machine Learning 154

Machine Learning Modeling 154

Analytics Vidhya

MARCH 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].

Data Science 397

Data Science Publishing Modeling Analytics 397

TDAN

MARCH 1, 2022

Why Differential Privacy Overcomes Many of the Fatal Flaws of De-Identification and Data Masking If data is the new oil, then privacy is the new environmentalism. With the growing use of data comes the need for strong privacy protections. Indeed, robust data privacy protects against rogue employees spying on users (like these at Uber or Google) or even well-meaning employees who have […].

Strategy 98

Strategy IT Data Strategy Business Intelligence 98

Smart Data Collective

MARCH 2, 2022

Data science is an evolving profession. Artificial intelligence is also changing at a remarkable pace. A number of new platforms and tools are being regularly rolled out to help data scientists do their jobs more effectively and easily. Savvy data scientists and AI developers are keeping up with trends and learning the new technology that can help them work more efficiently.

Data Science 110

Data Science Enterprise Insurance Digital Transformation 110

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.

Experimentation

KDnuggets

MARCH 1, 2022

Many companies have been capturing customer data in some form or another for decades. Petabytes of data are traversing networks worldwide every day, and all of that data means big money. Here's how companies can best utilize this data to influence positive outcomes.

Data Science 120

Data Science 120

Analytics Vidhya

MARCH 2, 2022

This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex. Small clusters of cells in the visual cortex are […].

Deep Learning 388

Deep Learning Visualization Data Science Publishing 388

Jet Global

FEBRUARY 28, 2022

Financial professionals in real estate contend with a wide array of responsibilities—managing financial statements, office space floors, signage, storage space, land, and more. Regulations and interest rates are in a state of constant flux, and they must be assessed as changes arise to build accurate reports. Not only is it time consuming to dump data into spreadsheets and reformat as information changes, but it’s also difficult to consolidate financials when multiple properties are involved.

Finance 98

Finance Reporting Software Consulting 98

Smart Data Collective

FEBRUARY 28, 2022

We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design. The impact developments in data technology have had on other industries have gotten far less publicity, but that doesn’t mean it hasn’t been significant.

Big Data 98

Big Data Marketing Strategy Data-driven 98

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.

Management

KDnuggets

MARCH 1, 2022

Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 1; Essential Machine Learning Algorithms: A Beginner’s Guide; An Easy Guide to Choose the Right Machine Learning Algorithm.

Data Science 121

Data Science Machine Learning 121

Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. There are immense computational costs of Deep Learning and AI. Artificial intelligence algorithms, which power some of technology’s most cutting-edge applications, such as producing logical stretches of text or creating visuals from descriptions, may need massive amounts of computational power to train.

Deep Learning 312

Deep Learning Visualization Data Science Publishing 312

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s Information Commissioner’s Office fined Marriott International over £99 million ($136 million) for violating the General Data Protection Regulation (GDPR), a European law govern

Data Governance 95

Data Governance Enterprise Data Quality Metadata 95

Smart Data Collective

MARCH 4, 2022

Running a small business can be difficult; you have to do multiple things simultaneously – and sometimes it’s not enough. However, technology proves to be handy when it comes to streamlining things and helping you save money and time. In fact, most successful companies depend on technology for almost every aspect of their businesses. And while there are many types of technology available, choosing to go digital does not have to be a headache.

Technology 95

Technology Sales Software Strategy 95

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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

MARCH 3, 2022

This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.

Machine Learning 139

Machine Learning Modeling IT 139

Analytics Vidhya

FEBRUARY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […].

Data Science 301

Data Science Publishing Analytics 301

CDW Research Hub

MARCH 1, 2022

CRN , a leading IT news organization and brand of The Channel Company , recently ranked Sirius , a CDW company, among the Security 100 in their MSP 500 list of top managed services providers. This is the eighth year in a row that Sirius has made the MSP 500. Sirius was also named to CRN’s Managed Security 100 list. According to CRN, the 2022 MSP 500 list recognizes leading North American solution providers that have demonstrated innovative and forward-thinking approaches to managed services.

Management 83

Management Optimization Modeling Marketing 83

IBM Big Data Hub

MARCH 2, 2022

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. With ethical guardrails as a core consideration, pioneering organizations are blazing the trail for AI for social impact across the globe. The IBM Data Science and AI Elite (DSE) Team spearheaded an incubator to facilitate exploration and use of AI for social impact organizations.

Data Science 77

Data Science Machine Learning Data-driven Modeling 77

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.

Manufacturing