Analytics Vidhya

MARCH 2, 2023

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

Management 392

Management Analytics IT Data Science 392

KDnuggets

MARCH 2, 2023

The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.

Data Science 160

Data Science IT Machine Learning Analytics 160

Analytics Vidhya

MARCH 2, 2023

Introduction The advancement of interest in Deep Learning in recent years and the explosion of Machine Learning tools like TensorFlow, PyTorch, etc., will also be cited, which will provide ease of use and easy debugging of codes. Many popular frameworks such as MxNet, Tensorflow, Jax, PaddlePaddle, Caffe 2, Mindspore, and Theano will gain popularity because […] The post Pytorch Tensors and its Operations appeared first on Analytics Vidhya.

IT 361

IT Deep Learning Machine Learning Analytics 361

CIO Business Intelligence

MARCH 2, 2023

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. Posting revenue of $8.38 billion after stock market trading closed on Wednesday, the company beat the expectations of analysts, whose average forecast for the quarter was $7.99 billion, according to data from Yahoo Finance.

Internet of Things 119

Internet of Things IoT Business Intelligence Software 119

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

Analytics Vidhya

MARCH 2, 2023

Introduction Python is one of the most popular programming languages used in various domains such as data science, web development, and automation. One of the fundamental operations in programming is reversing a string, and Python provides several ways to achieve this task. Reversing a string in Python is a basic operation that every Python developer […] The post How to Reverse a String in Python in 5 Ways?

Data Science 322

Data Science Analytics Machine Learning 322

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 117

Data Lake Data Processing Metadata Snapshot 117

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream

Snapshot 114

Snapshot Data Processing Metadata Management 114

Analytics Vidhya

MARCH 2, 2023

Introduction With growing digitization, data is the lifeblood of the majority of organizations. As the existence of data-driven companies is expanding, the amount of data generated and accumulated by these companies is also expanding exponentially. Organizations are adapting to the newly emerging subset of artificial intelligence called machine learning to keep up with this data […] The post Machine Learning Libraries in 2023 appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Data-driven Analytics Deep Learning 306

KDnuggets

MARCH 2, 2023

Learn Data Science in 2023 for FREE with these online courses.

Data Science 160

Data Science 160

Analytics Vidhya

MARCH 2, 2023

Introduction Let me take you into the universe of chi-square tests and how we can involve them in Python with the scipy library. We’ll be going over the chi-square integrity of the fit test. Whether the reader is just starting or an accomplished information examiner, this guide will outfit you with pragmatic models and experiences […] The post Discovering Insights with Chi Square Tests: A Hands-on Approach in Python appeared first on Analytics Vidhya.

Testing 297

Testing Modeling Analytics Statistics 297

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

Dataiku

MARCH 2, 2023

With the advent of the Anthropocene era, the physical territory is subject to dramatic transformations and ecological degradations due to human action. Regular and detailed maps are required for us to find our way in this new historical period.

Deep Learning 98

Deep Learning 98

Analytics Vidhya

MARCH 2, 2023

Introduction Data normalization is the process of building a database according to what is known as a canonical form, where the final product is a relational database with no data redundancy. More specifically, normalization involves organizing data according to attributes assigned as part of a larger data model. The main goals of database normalization are […] The post Understanding the Basics of Database Normalization appeared first on Analytics Vidhya.

Modeling 297

Modeling Analytics 297

CIO Business Intelligence

MARCH 2, 2023

Pick n Pay’s bold plan to modernize infrastructure and drive efficiency is beginning to pay dividends as its migration to AWS was successfully completed last year, signaling the digital ambitions of this retail giant. This move to the cloud lays the foundation for further expansion into other cloud-based applications to deliver deeper insights and better digital services, as well as drive cost savings for the company and the consumer.

Cost-Benefit 89

Cost-Benefit Consulting Data Warehouse Management 89

Analytics Vidhya

MARCH 2, 2023

Introduction Python is a high-level, general-purpose programming language widely used in various technology fields, including web development, data science, machine learning, and artificial intelligence. With its easy-to-learn syntax, powerful libraries, and vast community support, Python has emerged as one of the most popular programming languages in the world.

Machine Learning 283

Machine Learning Data Science Technology Analytics 283

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

Smart Data Collective

MARCH 2, 2023

Big data technology used to be a luxury for small business owners. It helps companies operate more efficiently, tap larger markets of customers, and solve some of their most complex challenges. In 2023, big data Is no longer a luxury. It is an essential resource that companies have to utilize. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology.

Big Data 78

Big Data Uncertainty Risk Data mining 78

Analytics Vidhya

MARCH 2, 2023

Introduction One of the social media applications that made it to the top eight in 2023 is TikTok. This application has revolutionized the way we watch short videos. Those who enjoy entertaining and funny short videos are likely already familiar with this app. However, not everyone is interested in it. Some praise it, while others […] The post TikTok Sentiment Analysis with Python: Analyzing User Reviews appeared first on Analytics Vidhya.

Recreation/Entertainment 281

Recreation/Entertainment Analytics IT 281

KDnuggets

MARCH 2, 2023

Tips to help you plan and execute your data science projects efficiently and successfully.

Data Science 108

Data Science Management 108

AWS Big Data

MARCH 2, 2023

Modern applications are built with modular independent components or microservices that rely on an API framework to communicate with services. Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 76

Data Lake Testing Interactive Unstructured Data 76

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.

Risk

Depict Data Studio

MARCH 2, 2023

Are you drowning in the deep end of Excel? First, dip a toe in. And then another. You’ll be swimming confidently before you know it. 4 Levels of Excel Vizardry I’ve taught data visualization in Excel a dozen different ways over the years. Nowadays, I teach Excel dataviz based on the degree of behind-the-scenes hacking needed to produce that chart.

Visualization 59

Visualization Statistics Consulting Dashboards 59

Alation

MARCH 2, 2023

We were promised jetpacks. Instead, we got data. Lots and lots of data. Well, we got jetpacks, too, but we rarely interact with them during the workday. It does feel, however, as if we need jet-like speed to analyze and understand our data, who is using it, how it is used, and if it is being used to drive value. With lots of data comes yet more calls for automation, optimization, and productivity initiatives to put that data to good use.

Metadata 52

Metadata Marketing IT Data Quality 52

CIO Business Intelligence

MARCH 2, 2023

With five state-of-art data centers located in the Sydney and Canberra metropolitan areas, including a facility created to manage cloud applications and data that require PROTECTED, SECRET and higher classifications, Macquarie Government, as part of the ASX listed Macquarie Telecom Group, was one of the first companies to provide sovereign IT services to Australia’s government agencies.

Data Processing 52

Data Processing Data Collection Technology Risk 52

KDnuggets

MARCH 2, 2023

The era of large language models is here now.

Modeling 91

Modeling 91

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“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.

Strategy

CIO Business Intelligence

MARCH 2, 2023

With a talent for developing people and inspiring innovation from her teams, Anita Klopfenstein has built a powerhouse IT organization since joining Little Caesars in 2017 as its CIO. One of the secrets behind her success as a leader is her love of learning. After majoring in both computer science and radio, television and film, she went on to earn an MBA.

Uncertainty 52

Uncertainty IT Management Testing 52

DataRobot Blog

MARCH 2, 2023

Exactly one year ago, the DataRobot Belong Community Women@DR was established to bring together women and allies at DataRobot for support, networking, encouragement, resources, and community. Over this year, we’ve celebrated successes and accomplishments, created safe environments to support each other through difficulties, and created both space for vulnerability and a sounding board for ideas and action.

Data-driven 59

Data-driven Marketing Enterprise IT 59

CIO Business Intelligence

MARCH 2, 2023

By virtue of their position between IT and effecting business strategy, CIOs can identify what processes their organizations need in order to modernize and automate. When it comes to updating core systems to drive operational efficiencies, they also have to ensure that a sound business case exists to automate them, says Laurie Shotton, VP and analyst at Gartner.

Data Lake 142

Data Lake Forecasting B2B Optimization 142

AWS Big Data

MARCH 2, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to use SQL for analyzing structured and semi-structured data with best price performance along with secure access to the data. As more users start querying data in a data warehouse, access control is paramount to protect valuable organizational data.

Visualization 79

Visualization Dashboards Data Warehouse Metrics 79

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