Analytics Vidhya

JANUARY 13, 2022

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics Analytics Python 400

KDnuggets

JANUARY 13, 2022

Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.

Data Scientist 385

Data Scientist Data Science Data Engineering Data Engineer 385

Dataconomy

JANUARY 13, 2022

Energy and the environment were significant threads covered at Web Summit and garner additional importance when considering the travel and accommodation footprint created by almost 44,000 attendees. It calls for greater awareness of the CO2 produced by the event and its participants. While Web Summit took place on the same.

AI 254

AI AI Data Science Artificial Intelligence 254

FlowingData

JANUARY 10, 2022

Many people were dismayed by a spiral chart that served as a header image for a New York Times Opinion piece. I thought it was fine. Others had other opinions. Disregarding whether or not it was the “best” way to visualize the data, clearly the more important question is how to make such a chart. Here’s how to make it in R. Read More.

143

143

Advertisement

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

JANUARY 11, 2022

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

Data Science 398

Data Science Analytics Analytics Algorithm 398

KDnuggets

JANUARY 10, 2022

The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge.

Data Science 377

Data Science 377

Smart Data Collective

JANUARY 9, 2022

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority. Only 30% of companies have a well-defined data strategy. An even smaller number of companies have a data strategy that is supported by the company leadership.

Big Data Analytics 133

Big Data Analytics Big Data Analytics Big Data Big Data 133

Analytics Vidhya

JANUARY 12, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting the income of US people based on the US census data and later we will be concluding whether that individual American have earned more or less than 50000 dollars a year. If you want to know […]. The post Analyzing the Income Level of US Census Data appeared first on Analytics Vidhya.

Data Science 391

Data Science Analytics Analytics Exploratory Data Analysis 391

KDnuggets

JANUARY 14, 2022

Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.

Machine Learning 372

Machine Learning Machine Learning Data Science 372

O'Reilly Media

JANUARY 11, 2022

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

AI 119

AI AI Natural Language Processing Azure 119

Advertisement

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

Smart Data Collective

JANUARY 14, 2022

There is no denying the fact that AI is transforming the cybersecurity industry. A double-edged sword, artificial intelligence can be employed both as a security solution and a weapon by hackers. As AI enters the mainstream, there is much misinformation and confusion regarding its capabilities and potential threats. Dystopian scenarios of all-knowing machines taking over the world and destroying humanity abound in popular culture.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence AI AI 124

Analytics Vidhya

JANUARY 12, 2022

This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks. Instead of building machine learning and deep learning […].

Deep Learning 388

Deep Learning Deep Learning Machine Learning Machine Learning 388

KDnuggets

JANUARY 12, 2022

It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like.

Data Science 332

Data Science 332

FlowingData

JANUARY 13, 2022

Using data from NOAA , Krishna Karra and Tim Wallace for The New York Times mapped all-time temperature records set in 2021. Red indicates an all-time high, and blue indicates an all-time low. Circle size represents the degree difference from the previous record. Tags: climate change , New York Times , temperature.

118

118

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.

Smart Data Collective

JANUARY 13, 2022

The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data. The market size for AI in marketing is expected to grow ove r 31% a year through 2028. It is growing at an even faster pace as more companies discover new benefits. Unfortunately, there are a number of AI-driven marketing mistakes companies continue to make.

Machine Learning 122

Machine Learning Machine Learning AI AI 122

Analytics Vidhya

JANUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be dealing with Walmart’s sales dataset and will follow all the data analysis steps on the same and as a result, will try to get some business-related insights from the operations we will be performing on this dataset. […]. The post Walmart’s Sales Analysis through Data Visualization appeared first on Analytics Vidhya.

Data Visualization 379

Data Visualization Data Analysis Data Analysis Data Science 379

KDnuggets

JANUARY 13, 2022

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

SQL 400

SQL Python 400

Dataversity

JANUARY 14, 2022

There’s no shortage of buzzwords and phrases to define how an organization approaches and uses its data – with two of the most popular being DataOps and data fabric. For years, large enterprises have struggled to distinguish between the two and decide which is the right first choice to enable them to compete with data […]. The post DataOps or Data Fabric: Which Should Your Business Adopt First?

DataOps 98

DataOps 98

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

Smart Data Collective

JANUARY 12, 2022

Apps are being published left and right these days, and to someone on the outside, it can almost seem as though application development is easy and everyone is doing it. But anyone who has actually worked on developing an app knows the process is exactly the opposite. It can be long, drawn-out, and unsatisfying – especially if your application does not turn out how you pictured it.

117

117

Analytics Vidhya

JANUARY 11, 2022

This article was published as a part of the Data Science Blogathon. Web Scraping is considered a fundamental process of getting data from the web. It automates the process of extracting the data from a web page, which is quicker and hassle-free than the conventional copy-pasting of the data. Thanks to the programming language methods, structuring […].

Data Science 344

Data Science Analytics Analytics Python 344

KDnuggets

JANUARY 12, 2022

Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.

Machine Learning 400

Machine Learning Machine Learning ML ML 400

Dataversity

JANUARY 13, 2022

As many have said, data is everything and everything is data. And the fact remains that the highest-value data sits in transactional databases behind applications like ERP, CRM, etc. To get the most out of data, it must be consolidated from many systems to unlock valuable business insights and feed applications such as machine learning […]. The post The Future of Data Management: Five Predictions for 2022 appeared first on DATAVERSITY.

Machine Learning 98

Machine Learning Machine Learning Database Cloud Data 98

Advertisement

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

Smart Data Collective

JANUARY 14, 2022

Cloud technology has been an instrumental driving force in many industries. Companies around the world are expected to spend over $947 billion on cloud technology by 2026. There are many ways that the cloud is changing our daily lives and the business models of entire industries. One of the biggest changes has to do with employee communication. A new generation of cloud-based workplace communication apps are leading to some drastic changes in many industries.

Cloud Computing 116

Cloud Computing 116

Analytics Vidhya

JANUARY 13, 2022

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […]. The post HQL COMMANDS FOR DATA ANALYTICS appeared first on Analytics Vidhya.

Analytics 338

Analytics Analytics SQL Data Engineering 338

KDnuggets

JANUARY 10, 2022

At the end of the day, the value a data scientist provides to an organization lies in their ability to apply data to real-world use cases.

Data Science 363

Data Science Data Scientist 363

Dataversity

JANUARY 12, 2022

Technology generates more and more data, regulators need to exercise more and more control, digital transformation is advancing, and traditional firms are changing and need to respond quickly to the new demands of regulators – not only to avoid sanctions but also to guard their processes and avoid security breaches and inconsistencies in their information […].

Data Governance 98

Data Governance Data Quality Machine Learning Machine Learning 98

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

JANUARY 12, 2022

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 billion in the next two years. Companies in the financial sector aren’t the only ones discovering the benefits of using data analytics for financial management.

Analytics 115

Analytics Analytics Data Mining Data Mining 115

Analytics Vidhya

JANUARY 14, 2022

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what?

Python 337

Python Data Science Analytics Analytics 337

KDnuggets

JANUARY 12, 2022

Is Data Science a Dying Career?; Why Do Machine Learning Models Die In Silence?; SQL Interview Questions for Experienced Professionals; Deliver a Killer Presentation in Data Science Interviews; What is Transfer Learning?

Machine Learning 316

Machine Learning Machine Learning Data Science SQL 316

Dataversity

JANUARY 10, 2022

A whole host of issues emerged in 2021 related to AI – from leveraging AI and automation to fill in the gaps of the shifting working landscape where mass resignations are hitting every industry and algorithms falling short on promises made by industry leaders. It was a dynamic year for those in the AI industry […]. The post 2022 AI Trends: Humans and AI Unite, RPA Fades, and Data Labeling Returns appeared first on DATAVERSITY.

AI 98

AI AI Algorithm Artificial Intelligence 98

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.