Analytics Vidhya

JULY 6, 2023

Introduction In this era of Generative Al, data generation is at its peak. Building an accurate machine learning and AI model requires a high-quality dataset. The quality assurance of the dataset is the most critical task, as poor data causes inaccurate analytics and unidentified predictions that can affect the entire repo of any business and […] The post Getting Started with Amazon SageMaker Ground Truth appeared first on Analytics Vidhya.

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Datasets Machine Learning Building Algorithm 236

The Pragmatic Engineer

JULY 6, 2023

Originally published 6 July 2023 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on What a senior engineer is at Big Tech. To get the full issues twice a week, subscribe here.

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Google Cloud Media Cloud Utilities 227

Waitingforcode

JULY 6, 2023

That's often a dilemma, whether we should put multiple sinks working on the same data source in the same or in different Apache Spark Structured Streaming applications? Both solutions may be valid depending on your use case but let's focus here on the former one including multiple sinks together.

Data 130

Data 130

KDnuggets

JULY 6, 2023

This article delves into the concept of Chain-of-Thought (CoT) prompting, a technique that enhances the reasoning capabilities of large language models (LLMs). It discusses the principles behind CoT prompting, its application, and its impact on the performance of LLMs.

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IT 99

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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?

Data

Knowledge Hut

JULY 6, 2023

Lean in project management, where the word ‘lean’ is associated with less wastage and more value addition. Lean is an Agile methodology that helps industries to improve productivity, increase customer value, eliminate problems, enhance the organization’s processes, reduce waste, and encourage continuous improvement. Historically, it was first introduced in the manufacturing industry, but today it is prevalent in almost every industry, including healthcare, education, software d

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Project Management Manufacturing Transportation 98

KDnuggets

JULY 6, 2023

Project management can be one of the biggest challenges in data science projects. Learn how you can ensure your project management methods are down-packed and effective.

Data Science 90

Data Science Project Management Data 90

KDnuggets

JULY 6, 2023

Introducing a new tool that offers speed, efficiency, cross-platform compatibility, user-friendliness, and security for deep learning applications.

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Deep Learning Machine Learning 89

Confluent

JULY 6, 2023

Meet Senior Software Engineer Ankit Garg. Find out about all the interesting projects he’s working on—and how Confluent provides him with opportunities for growth.

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Software Engineer Software Engineering Project Engineering 62

KDnuggets

JULY 6, 2023

Techniques to address imbalanced data in the context of classification, while keeping the data distribution in mind.

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Knowledge Hut

JULY 6, 2023

Project initiation involves planning for the successful delivery of projects by outlining the objectives, key stakeholders involved in the project, resources and budget needed to make it happen. This initial stage helps set the tone for your entire project, providing clarity on who is accountable for what and making sure everyone understands their responsibilities.

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Project Government Certification Management 52

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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

Hevo

JULY 6, 2023

You’re trying to extract data from your source to Redshift, but you can’t seem to find a tool that provides a native connector. So what do you do in that case? REST APIs serve as the “middlemen” that allow you to move data from your source to Redshift.

Data 52

Data 52

Knowledge Hut

JULY 6, 2023

Project management requires excellent organizational skills to handle multiple tasks successfully. Project management is not limited to just finishing tasks and making progress. It also includes assessing the level of effort needed to complete a project. Level of effort LOE in project management is an important point of consideration when setting goals, formulating strategies, and managing resources.

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Certification Portfolio Project Utilities 52

Towards Data Science

JULY 6, 2023

Maximize the quality and productivity of your data pipelines Continue reading on Towards Data Science »

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Data Pipeline Data Science Data Data Engineering 71

Knowledge Hut

JULY 6, 2023

Project assumptions are vital in any project and the ones who manage a project should understand their importance. Assumptions can be defined as premises or conditions that are accepted as true, without proof, and form the basis of further planning or action. Project assumptions provide support to those running projects by creating groundwork from which they can build upon while aiming for maximum results.

Project 52

Project Designing Management Certification 52

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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.

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ArcGIS

JULY 6, 2023

This third blog in a series provides a set of sample tools to migrate a personal geodatabase from ArcMap, to a file or mobile geodatabase in ArcGIS Pro.

Data 52

Data Data Management Management 52

Knowledge Hut

JULY 6, 2023

To be successful, a project requires organization, careful planning, and foresight to ensure that all goals are met with on-time delivery and cost-efficiency. One key aspect of successful project management is having an effective contingency plan should anything go wrong during its execution. A contingency plan serves as an “insurance policy” by offering alternative solutions for unexpected events or risk factors that could disrupt progress toward completing the task.

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Project Management Certification Insurance 52

Databand.ai

JULY 6, 2023

Data Anomaly: Types, Causes, Detection, and Resolution Helen Soloveichik July 6, 2023 What Is Data Anomaly? A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset. Data anomalies can be either intentional or unintentional and may result from errors, noise, or merely unique occurrences.

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Datasets Algorithm Machine Learning Data Analysis 52

Knowledge Hut

JULY 6, 2023

Project status reports provide stakeholders with a general overview of the progress made in a project. It documents the efforts, results and useful lessons learned during any stage or phase of development. Additionally, it offers valuable insights to identify trends and evaluate risks, enabling effective decision-making when managing complex projects.

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Project Utilities Management Certification 52

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.

Certification

Snowflake

JULY 6, 2023

So you’ve got data—lots of data—coming into your organization from various sources. How do you make sense out of all of it? At Goldman Sachs, the Legend data platform and Snowflake Native Apps Framework are not just helping teams understand all that data, but also transform it, govern it, share it, and model it—improving timely, data-driven insights and collaborative decision making.

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Government Data Engineering Data Engineer Database 52

Knowledge Hut

JULY 6, 2023

In the ever-evolving world of web development, React JS continues to attract developers with its unparalleled versatility and flexibility. As we look ahead, exciting trends and predictions emerge, shaping the future of React JS. In this article, we explore the latest advancements in React and examine its potential through the lens of emerging web development trends.

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Entertainment Architecture Machine Learning Healthcare 52

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses. These pipelines play a crucial role in the world of data engineering, as they help organizations to collect, clean, integrate, and analyze vast amounts of information from various sources.

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Knowledge Hut

JULY 6, 2023

Availability is a new norm with the emergence of the DevOps and infrastructure revolution. Today, the definition of sustainability in business is synonymous with the high availability and uptime of applications. IT Professionals looking to work in the cloud domain are expected to have a sound understanding of Azure tools as well as development and monitoring tools.

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Amazon Web Services Data Lake Java SQL 52

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems. This type of testing is crucial for ensuring that data is not corrupted, lost, or incorrectly modified during storage, retrieval, or processing.

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Data Integration Process Data Validation Data Governance 52

Knowledge Hut

JULY 6, 2023

As per the popular paradigm, "a picture speaks a thousand words", built around the same ideology is today's popular and powerful project management tool known as the Gantt Chart in project management which is used by both project managers and stakeholders as well as individuals to review at a single glance, the set of activities to be done for the project and track/manage all of them effectively.

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Knowledge Hut

JULY 6, 2023

When it comes to knowing if cloud is better than a dedicated server, then know that choosing the right hosting solution is crucial for businesses and individuals. Among the myriad options available, cloud servers and dedicated servers stand out as popular choices. Cloud servers and dedicated servers are both popular hosting options for businesses of all sizes.

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