Analytics Vidhya

MAY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

Data Science 396

Data Science Publishing Analytics Machine Learning 396

KDnuggets

MAY 26, 2022

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

Data Science 160

Data Science IoT Deep Learning Machine Learning 160

CIO Business Intelligence

MAY 20, 2022

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

DataKitchen

MAY 2, 2022

274

274

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

Smart Data Collective

MAY 19, 2022

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. This is especially true for companies using digital marketing practices, such as social media. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. You can use their sophisticated analytics dashboard to improve your marketing strategies.

Data Analytics 138

Data Analytics Analytics Big Data Advertising 138

TDAN

MAY 4, 2022

You might think the title of this article is some­what controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let’s examine several of these trends. Data Growth But No DBA […].

Management 137

Management Data Architecture 137

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

Data Science Machine Learning 160

CIO Business Intelligence

MAY 17, 2022

Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it’s not just science fiction writers who are worried about the dangers of uncontrolled AI. In a 2019 survey by Emerj , an AI research and advisory company, 14% of AI researchers said that AI was an “existential threat” to humanity.

Risk 145

Risk Consulting Machine Learning Data Science 145

Cloudera

MAY 4, 2022

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

Cost-Benefit 129

Cost-Benefit Internet of Things Insurance Data-driven 129

Smart Data Collective

MAY 22, 2022

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

Data-driven 133

Data-driven Risk Experimentation IT 133

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

TDAN

MAY 17, 2022

Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital with an outstanding reputation for being trusted at a deep level by many families. They used data to alert people about various medical actions that they recommended. One such alert was that when a person […].

Data Strategy 119

Data Strategy Business Intelligence Big Data Strategy 119

Analytics Vidhya

MAY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

Deep Learning 400

Deep Learning Data Science Publishing Analytics 400

KDnuggets

MAY 30, 2022

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

Machine Learning 160

Machine Learning Predictive Modeling Software Modeling 160

CIO Business Intelligence

MAY 27, 2022

Many of the leaders in the software industry come up from the ranks of working developers. They often want to expand into management as their mastery of technology gives them the confidence, but they don’t want to abandon the practice that frankly brings them fulfillment. . Enter the coding leader. This new kind of leader is responsible for both strategy and being hands-on with the tech and walks in the worlds of business and technology with equal aptitude.

IT 145

IT Software Management Technology 145

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

Cloudera

MAY 9, 2022

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in product

Optimization 116

Optimization Testing Cost-Benefit Measurement 116

Smart Data Collective

MAY 13, 2022

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

Business Analytics 132

Business Analytics Analytics Unstructured Data Data-driven 132

Timo Elliott

MAY 27, 2022

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business.

Data Analytics 123

Data Analytics Analytics Recreation/Entertainment Data Lake 123

Analytics Vidhya

MAY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results. But we tend to forget that before applying those […].

Data Science 399

Data Science Publishing Analytics 399

Advertisement

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

IT

KDnuggets

MAY 27, 2022

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

Data Science 160

Data Science 160

CIO Business Intelligence

MAY 2, 2022

Digital transformation isn’t new. Indeed, it has been on the CIO’s agenda for at least 35 years. I assisted in designing and stage-managing my first symposium on digital transformation in 1987. The keynote speakers were the CEO at the emerging technology supplier and the Chairman/CEO at one of the world’s largest and most technologically sophisticated financial institutions.

Digital Transformation 145

Digital Transformation Uncertainty Strategy Forecasting 145

TDAN

MAY 4, 2022

Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

Data Quality 114

Data Quality Enterprise Metadata Data Strategy 114

Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

Data Warehouse 131

Data Warehouse Big Data Data-driven Technology 131

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

Dataiku

MAY 9, 2022

This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.

111

111

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

Machine Learning 399

Machine Learning Data Science Publishing Technology 399

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Statistics Business Intelligence Big Data 160

CIO Business Intelligence

MAY 2, 2022

Information Technology continues to create opportunities to improve healthcare, but only when used effectively. Whether it’s medical devices, electronic healthcare records, high-bandwidth networks, medical imaging, or insurance, there are few corners of the healthcare field that are not deeply penetrated by IT. But where are things headed from here?

Management 145

Management Insurance Consulting Data-driven 145

Advertisement

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

Analytics

TDAN

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

Smart Data Collective

MAY 29, 2022

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. This content can be in the form of log content, transactional content, social media data, and customer—related data. . Companies need all of this data in a structured manner to improve their decision—making capabilities.

Data Analytics 130

Data Analytics Analytics Strategy Insurance 130

DataRobot Blog

MAY 3, 2022

If you’ve ever driven through Texas or Florida during a rare Southern snowstorm, a few things quickly become cartoonishly obvious—your tyres matter, your driving matters, and your ability to navigate changing weather conditions really matters. As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The forecast calls for sunny skies and temperatures between 68?

Forecasting 105

Forecasting Strategy Data-driven Machine Learning 105

Analytics Vidhya

MAY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.

Data Science 396

Data Science Publishing Analytics 396

Advertiser: Data Robot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

Enterprise