Analytics Vidhya

FEBRUARY 15, 2023

Introduction PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. With its easy-to-use interface, dynamic computational graph, and rich ecosystem of tools and resources, PyTorch has made deep learning accessible to a wider audience than ever before. However, like any other technology, PyTorch is not immune […] The post PyTorch: A Comprehensive Guide to Common Mistakes appeared first on Analytics Vidhya.

Deep Learning 299

Deep Learning Machine Learning Technology Analytics 299

Rocket-Powered Data Science

FEBRUARY 15, 2023

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Analytics Vidhya

FEBRUARY 15, 2023

Introduction You have a dataset, did extensive data analysis, and built a model around it; now, what? The next step will be to deploy the model on a server, so your model will be accessible to the general public or your development team to integrate it with the app. This article is perfect if you […] The post Build And Deploy an ML App Using Streamlit, Docker and GKE appeared first on Analytics Vidhya.

Modeling 269

Modeling Analytics IT Machine Learning 269

KDnuggets

FEBRUARY 15, 2023

Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know • Python Function Arguments: A Definitive Guide • Making Intelligent Document Processing Smarter: Part 1 • Optimizing Python Code Performance: A Deep Dive into Python Profilers

Optimization 108

Optimization 108

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

FEBRUARY 15, 2023

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its importance lies in its ability to handle big data and provide insights that can inform business decisions. Source: dataedo.com It is designed to handle big data and is ideal for […] The post Best Practices For Loading and Querying Large Datasets in GCP BigQuery appeared first on Analytics Vidhya.

Big Data 268

Big Data Analytics IT Business Analytics 268

KDnuggets

FEBRUARY 15, 2023

Defining a hypothesis allows you to collect data effectively and determine whether it provides enough evidence to support your hypothesis.

Testing 114

Testing Data Science IT 114

Aryng

FEBRUARY 15, 2023

A data analyst, Eric discovered a troubling trend in his company’s customer data. The churn rate was alarmingly high. Concerned about the impact on the business, he mobilized his team to investigate the problem. Eric and the team spent significant time and resources to find issues and recommended operational changes. However, the recommendation did not […] The post Top 5 Reasons Why Data Projects Fail?

Data-driven 52

Data-driven Data Analytics Analytics 52

AWS Big Data

FEBRUARY 15, 2023

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple to run applications using open-source analytics frameworks such as Apache Spark and Hive without configuring, managing, or scaling clusters. At AWS re:Invent 2022, we announced support for running serverless Spark and Hive workloads with AWS Graviton2 (Arm64) on Amazon EMR Serverless.

Testing 52

Testing Metrics Big Data Analytics 52

Paul Blogs on BI

FEBRUARY 15, 2023

One of the reasons I am so fascinated by the Ancient Egyptian culture is that it was so far ahead of its time. Not only did it thrive for almost three millennia, but the Ancient Egyptians were advanced in mathematics, architecture, construction, agriculture, astronomy, medicine, legal systems, writing, art and so many other areas. Unfortunately, much of this has been lost but when you consider just the Great Pyramid of Giza alone, the only ancient wonder of the world still standing after more th

Business Intelligence 52

Business Intelligence Strategy Reporting Publishing 52

Dataiku

FEBRUARY 15, 2023

Next up in our ML Research in Practice series, we’ll discover another way that the Dataiku AI Lab supports the academic machine learning (ML) community. Check out our previous blogs on predicting performance drop under domain shift and predicting GDP with Google Trends if you haven’t already!

Machine Learning 52

Machine Learning 52

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

CIO Business Intelligence

FEBRUARY 15, 2023

Planning and launching a major IT initiative can be a CIO’s biggest challenge. Everything has to go right: the technology, the goals, the financial platform, and most important of all, the timing. Launch an initiative too soon and the technology may be premature and flawed. On the other hand, failing to start the project a timely manner could mean falling behind competitors, perhaps even fatally.

IT 133

IT Consulting Digital Transformation Cost-Benefit 133

FineReport

FEBRUARY 15, 2023

When it comes to project management tools, the first thing that comes to mind for many people is the Gantt chart! This is because anyone who frequently deals with data knows that when we have a big project that needs to be executed on schedule or when we need to manage all tasks and data in a unified manner, we need a user-friendly project management tool, and the Gantt chart is the best tool for the job!

Software 52

Software Visualization Reporting Management 52

CIO Business Intelligence

FEBRUARY 15, 2023

Bayer is using drones to collect farming data across 80 million acres and satellite data to predict soil moisture down to the square meter. These are just two examples in a transformation that is impacting every part of the business and all 100,000 employees, as undertaken under the helm of Bijoy Sagar, the multinational’s chief information technology and digital transformation officer.

Digital Transformation 103

Digital Transformation Experimentation Strategy Modeling 103

AWS Big Data

FEBRUARY 15, 2023

This is a guest post co-written with Frank Contrepois from Strategic Blue. For over 10 years, Strategic Blue has helped organizations unlock the most value from the cloud by enabling their customers to purchase non-standard commitments. By taking a commodity trading approach to purchasing from AWS, Strategic Blue helps customers purchase commitments for varying lengths of time, such as a 9-month Reserved Instance or an 18-month Savings Plan.

Reporting 62

Reporting Dashboards Optimization KPI 62

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

DataRobot Blog

FEBRUARY 15, 2023

Enterprises see the most success when AI projects involve cross-functional teams. For true impact, AI projects should involve data scientists, plus line of business owners and IT teams. By 2025, according to Gartner, chief data officers (CDOs) who establish value stream-based collaboration will significantly outperform their peers in driving cross-functional collaboration and value creation. 1 In order to drive this kind of AI success, you need a cross-functional team engaged in the process, inv

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

AWS Big Data

FEBRUARY 15, 2023

Amazon EMR Serverless allows you to run open-source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application.

Cost-Benefit 52

Cost-Benefit Testing Metrics Measurement 52