Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 24, 2022
It is no secret that cyberattacks are escalating in frequency and severity each year. They have led to a growing number of data breaches, which are creating major concerns for people all over the world. IBM reports that the average data breach cost over $4.2 million in 2021 , which is a figure that grows every year. Malicious actors are becoming increasingly crafty at intercepting communication and penetrating organizations to steal valuable data.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
KDnuggets
APRIL 27, 2022
Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.
CIO Business Intelligence
APRIL 29, 2022
As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. Organisations the world over are in the process of establishing where and how these advancements can add value and edge them closer to their goals. The excitement is palpable.
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.
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 25, 2022
A lot of factors go into building a business, but online reputation is a huge part of it. A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. Customers tend to Google an organization prior to engaging with their services.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
APRIL 25, 2022
An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typical
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to talk about data streaming with apache spark in Python with codes. We will also talk about how to persist our streaming data into MongoDB.We have already covered the basics of Pyspark in the last article […]. The post Spark Data Streaming with MongoDB appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 25, 2022
Data science is a broad field that can help organizations glean significant insights into various aspects of their operations. Whether it’s uncovering truths about customer buying habits or discovering new ways to make teams collaborate more efficiently, data science can be an extremely useful tool to all who take advantage of it. This is why the demand for data scientists is growing so rapidly.
KDnuggets
APRIL 27, 2022
In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.
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.
CIO Business Intelligence
APRIL 25, 2022
Enterprises are betting big on machine learning (ML). According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. And a survey conducted by ESG found, “62% of organizations plan to increase their year-over-year spend on AI, including investments in people, process, and technology.”.
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to introduce you to Docker tutorial and will further learn the basic commands as well from installing docker, Pulling images from the hub to running Linux machines in docker. Let’s first understand the challenges we face […]. The post Docker Tutorial for Beginners Part-I appeared first on Analytics Vidhya.
DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. When business decisions are made based on bad models, the consequences can be severe.
KDnuggets
APRIL 25, 2022
Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.
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.
CIO Business Intelligence
APRIL 29, 2022
Global spending on cloud infrastructure services increased by 34% to a total of nearly $56 billion in the first quarter of 2022, driven by the need for resiliency and flexibility as businesses face supply chain problems and geopolitical upheaval, according to a report released Friday by analyst firm Canalys. Migrating workloads to the cloud, investing in data storage, and cloud-native application development have all been particular drivers of SMB (small and medium business) investment in the cl
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article let’s discuss one among the very popular and handy web-scraping tools Octoparse and its key features and how to use it for our data-driven solutions. Hope you all are familiar with “WEB SCRAPING” techniques and the captured data has […]. The post Exploring Octoparse Web Scraping tool for Data Preparations appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 25, 2022
Digital transformation has been a goal for many organizations in recent years, and the shift to remote and hybrid working arrangements has only made this desire to future-proof their business more immediate. However, this transition isn’t easy and wouldn’t be possible without major advances in big data technology. Digital adoption has been defined as the reinvention of a company through the optimization of legacy systems and utilization of new technologies.
KDnuggets
APRIL 29, 2022
Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.
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.
CIO Business Intelligence
APRIL 29, 2022
Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organizati
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature. These can be used […]. The post Guide to Audio Classification Using Deep learning appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 24, 2022
AI is changing the future of the manufacturing sector. According to one survey, 76% of manufacturing companies have either deployed AI or are in the process of developing an AI system to use in the near future. More and more the interaction between humans and machines becomes a hot topic in the manufacturing world. Leading manufacturers use AI to integrate automation in their production processes wherever possible, in order to handle repetitive tasks in a more efficient manner.
KDnuggets
APRIL 25, 2022
Also: 8 Free MIT Courses to Learn Data Science Online; Build a Machine Learning Web App in 5 Minutes; Best Data Science Books for Beginners; Linear vs Logistic Regression; and more!
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.
CIO Business Intelligence
APRIL 28, 2022
Salesforce is expanding its process automation tool Flow to enable a wider range of workflows and process automations to be built and triggered from across its large family of enterprise applications. Announced in 2021, Flow is a low-code tool which initially consolidated various process automation and workflow tools for Salesforce users to build workflows between the various parts of the Salesforce suite.
Analytics Vidhya
APRIL 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation. In this article, I’ll show […].
Smart Data Collective
APRIL 23, 2022
In recent years, organized sports have been steadily changed by big data. The news programs and sports updates shown on television have been made to be more entertaining, partly because of research conducted and the information analyzed. This information is usually gained from viewers and the wider public. More sports companies are likely to invest in big data in the future.
KDnuggets
APRIL 27, 2022
A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
CIO Business Intelligence
APRIL 29, 2022
On the Amalfi Coast in Italy is the spectacular “Sentiero Degli Dei,” the Path of Gods. It provides a stunning scene. I have been lucky enough to stand there and take it in. However, I recall that to my left there was a steep drop of several hundred meters to the sea – with nothing in between. Why am I telling about my trip to Italy? Because it made me realize that yes, sometimes it is wonderful to go freely, without limitations or assistance and gain a spectacular view, but guardrails can help
Analytics Vidhya
APRIL 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this blog, let’s explore how to train a state-of-the-art text classifier by using the models and data from the famous HuggingFace Transformers library. We will see how to load the dataset, perform data processing, i.e. tokenisation and then use the processed […].
Teradata
APRIL 26, 2022
Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks.
KDnuggets
APRIL 26, 2022
Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.
Advertisement
“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Expert insights. Personalized for you.
400 
Let's personalize your content