Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Introduction to Machine Learning Basics Need of Machine Learning. The post Machine Learning Basics For Data Science Enthusiasts appeared first on Analytics Vidhya.

Machine Learning 397

Machine Learning Data Science Publishing Analytics 397

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. We were interested in answering two questions. First, we wanted to understand how the use of AI grew in the past year. We were also interested in the practice of AI: how developers work, what techniques and tools they use, what their concerns are, and what development practices are in place.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction ETL pipelines look different today than they used to. The post Is manual ETL better than No-Code ETL: Are ETL tools dead? appeared first on Analytics Vidhya.

Data Science 325

Data Science Publishing Analytics 325

Smart Data Collective

APRIL 19, 2021

The need to protect data is one that most companies are more than aware of. However, many businesses operate under the misconception that any potential threats or breaches are being conducted externally. Employee negligence is a very costly cause of data leaks. The average cost of a data record compromised by a careless employee is $160. Around 66% of all data leaks are caused by employees making mistakes with digital records.

Risk 121

Risk Management Measurement Optimization 121

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

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Data mining is the process of finding interesting patterns. The post Proximity measures in Data Mining and Machine Learning appeared first on Analytics Vidhya.

Data mining 280

Data mining Machine Learning Measurement Data Science 280

Alation

APRIL 19, 2021

Modern businesses have their heads in the clouds… not that they’re daydreaming. The pandemic has caused a major shift to work-from-home culture. The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Today, enterprises are migrating to the cloud at a brisk pace. But why migrate at all? How do you migrate?

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Dataiku

APRIL 19, 2021

Only 8% of CDOs are content with the quality of data at their disposal. Data needs to be valuable, thus of high quality , to drive machine learning model success. In a recent Egg On Air Episode , Jeff McMillan, Chief Analytics and Data Officer for Morgan Stanley Wealth Management, outlined the significance of data quality to an organization’s success and offered some insight on how Morgan Stanley approaches data quality.

Data Quality 105

Data Quality Machine Learning Modeling Management 105

Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Data is everywhere around us, in spreadsheets, on various. The post Exploratory Analysis Using Univariate, Bivariate, and Multivariate Analysis Techniques appeared first on Analytics Vidhya.

Data Science 285

Data Science Publishing Analytics Structured Data 285

Cloudera

APRIL 19, 2021

Introduction. In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. While the time-saving potential of using GPUs for complex and large tasks is massive, setting up these environments and tasks such as wrangling NVIDIA drivers, managing CUDA versions and deploying custom engines for your specific proje

Deep Learning 71

Deep Learning Machine Learning Data Science Modeling 71

Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Gradient boosting algorithm is one of the most powerful. The post How the Gradient Boosting Algorithm works? appeared first on Analytics Vidhya.

Data Science 259

Data Science Publishing Analytics Structured Data 259

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

Juice Analytics

APRIL 19, 2021

In 2007, Professor Thomas Davenport wrote an influential book called Competing on Analytics: The New Science of Winning. At the time, he stoked a smoldering ember into a flame by examining the power of analytics to improve organizations. The book was a catalyst for a generation of business leaders looking to find value in their data. For all its influence, we had a quibble with Davenport promotion of a centralized model for analytics, where the data is managed at an enterprise-level by a cadre o

Data Science 54

Data Science Technology Optimization Modeling 54

Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book Table of Content 1. The need for Dimensionality Reduction 2. What is Dimensionality Reduction 3. PCA(Principal Component Analysis) 4. Kernel PCA 5. The post Guide For Feature Extraction Techniques appeared first on Analytics Vidhya.

Analytics 227

Analytics Machine Learning 227

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Metadata management is the key that unlocks the entire data landscape.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Instructions In this article, we are going to see different. The post Porting a Pytorch Model to C++ appeared first on Analytics Vidhya.

Modeling 204

Modeling Data Science Publishing Analytics 204

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

3AG Systems

APRIL 19, 2021

Inventory management is important for the success of any manufacturer. For many young, scaling manufacturing businesses, it’s also a challenge — one that automation can help overcome. Before getting into how businesses can start digitizing their inventory processes, let’s clarify what we mean by inventory management. What is manufacturing inventory management?

Manufacturing 52

Manufacturing Management IT Sales 52

DataRobot

APRIL 19, 2021

Do you remember Liquid Paper? It was the original white correction fluid, invented in 1956 by a professional typist and used to cover typing and handwriting mistakes. Correction fluid quickly became a business necessity in a time when typewriters were the primary instrument of business communications. The fastest typing speed ever recorded, 212 words per minute, was achieved in 1946 by Stella Pajunas-Garnand on an electric typewriter.

Machine Learning 52

Machine Learning Visualization Data-driven Modeling 52

The Unofficial Google Data Science Blog

APRIL 19, 2021

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. This post explains why calibration matters, and how to achieve it. It discusses practical issues that calibrated predictions solve and presents a flexible framework to calibrate any classifier. Calibration applies in many applications, and hence the practicing data scientist must understand this useful tool.

Modeling 122

Modeling IT Metrics Testing 122

Jet Global

APRIL 19, 2021

Executives increasingly rely on data and advanced analytics to make business decisions. They also need the ability to access and parse that data faster and in more creative ways. Meanwhile, the data that businesses have access to and the number of systems producing that data are growing at lightspeed. This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

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