Wed.Jan 05, 2022

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“Data is the closest thing to magic in the modern world…”

Timo Elliott

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels. They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process.

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Machine Learning Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Types of Machine Learning Algorithms 3. Simple Linear Regression 4. Multilinear Regression 5. Logistic Regression 6. Decision Tree 7. SVM 8. KNN 9. K Means Clustering Introduction We all know how Artificial Intelligence is leading nowadays. Machine Learning […].

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Why Do Machine Learning Models Die In Silence?

KDnuggets

A critical problem for companies when integrating machine learning in their business processes is not knowing why they don't perform well after a while. The reason is called concept drift. Here's an informational guide to understanding the concept well.

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Global AI Leader Fractal Becomes Unicorn with US$ 360 Million Investment from TPG

Analytics Vidhya

Fractal, a global provider of artificial intelligence and advanced analytics solutions to Fortune 500® companies, today announced a huge US$ 360 million (~ INR 2700 crores) investment from TPG, a leading global alternative asset firm. The transaction is expected to close by the first quarter of 2022. What should you know about Fractal? Founded […].

Analytics 365
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What is Transfer Learning?

KDnuggets

During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.

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RFM and CLTV to Know Your Customers Better

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: […]. The post RFM and CLTV to Know Your Customers Better appeared first on Analytics Vidhya.

More Trending

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HuggingFace Transformer Model Using Amazon Sagemaker

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Objective To learn how to use Amazon Sagemaker to Train and Deploy a Hugging Face Transformer Model. Prerequisites Basic Knowledge of AWS cloud and Hugging Face Transformers. Introduction Hugging Face is the most popular Open Source company providing state-of-the-art NLP technology.

Modeling 364
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3 Trends in Manufacturing and AI for 2022

Dataiku

Global crises usually force companies to become more resilient and make bold moves that can sometimes turn difficulties into opportunities. With the current global health crisis, companies do have tools at their disposal to help them recover from this period of uncertainty and accelerate for the future. As such, before March 2020, many companies had already launched AI and analytics use case initiatives, but the challenge was how to scale those efforts.

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Tutorial on RNN | LSTM |GRU with Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will learn RNN, LSTM, Bidirectional LSTM and GRU in detail with the implementation of movie sentiment classification. […]. The post Tutorial on RNN | LSTM |GRU with Implementation appeared first on Analytics Vidhya.

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Big Data Opportunity in Manufacturing

TDAN

The world now runs on Big Data. Defined as information sets too large for traditional statistical analysis, Big Data represents a host of insights businesses can apply towards better practices. In manufacturing, this means opportunity. But what exactly are the opportunities present in big data? That depends on the tools and practices that manufacturing companies […].

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Build a Trustworthy Model with Explainable AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Ref: [link] AI-based systems are disrupting almost every industry and helping us to make crucial decisions that are impacting millions of lives. Hence it is extremely important to understand how these decisions are made by the AI system. AI researchers, professionals must be able […].

Modeling 338
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KDnuggets™ News 22:n01, Jan 5: 3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master

KDnuggets

3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model.

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Writing Test Cases for Machine Learning systems

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Testing forms an integral part of any software development project. Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. Proper testing in the development phase helps in identifying the critical errors […].

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Data Virtualization: Be the Driver, not the Mechanic

Data Virtualization

Reading Time: 3 minutes The best technology acts without having to manage it, or worse, having to familiarize oneself with it more than it seems necessary. In some industrial sectors, this has already happened. We simply consume electricity, without being forced to know the. The post Data Virtualization: Be the Driver, not the Mechanic appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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10 Best Data Science Websites to Find Datasets for your Next DS Project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Are you a Data Science enthusiast or already a Data Scientist who is trying to make his or her portfolio strong by adding a good amount of hands-on projects to your resume? But have no clue where to get the datasets from so […]. The post 10 Best Data Science Websites to Find Datasets for your Next DS Project appeared first on Analytics Vidhya.

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Data Professional Introspective: Your Organization Can’t Create an EDM Strategy

TDAN

Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020. In 1980, there were 540M people living in extreme poverty; by 2014, there were only 80 million. The second 100-year plan, targeted for 2050, calls for achieving 30% of global GDP, to […].

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From Word Embedding to Documents Embedding without any Training

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Pre-requisite: Basic understanding of Python, machine learning, scikit learn python, Classification Objectives: In this tutorial, we will build a method for embedding text documents, called Bag of concepts, and then we will use the resulting representations (embedding) to classify these documents.

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How Aryng identified $500K+ in incremental revenue for Kiva using LTV Analytics

Aryng

The risk of failure is congenital for every start-up. Blame it on cost challenges, poor product-market fit, or the inability to reinvent the wheel. Whatever the reason, it could feel frustrating to find yourself as a failure. I understand!! However, cost challenges don’t mean you cannot thrive as a business. Re-inventing the wheel is not […] The post How Aryng identified $500K+ in incremental revenue for Kiva using LTV Analytics appeared first on Aryng's Blog.

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Reimagined: Building Products with Generative AI

“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.

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Multiple Time Series Model Using Apache Spark and Facebook Prophet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s say you are a large retailer like Walmart, D-Mart, and you may deal with thousands and thousands of products and each product will have a different sale cycle. For example, woollen clothes will have more sales in winter, and swimming gears more […]. The post Multiple Time Series Model Using Apache Spark and Facebook Prophet appeared first on Analytics Vidhya.

Modeling 301
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Stillness is the Key Book Review

Jen Stirrup

Stillness Is the Key by Ryan Holiday. My rating: 5 of 5 stars. I chose this book because I’m becoming increasingly interested in meditation, and I thought that this might help me to understand more about the general domain. We have to make space in our lives for stillness. Leaders make time for it. Jesus Christ, according to Scripture, spent 40 days and 40 nights in the wilderness.

IT 44
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ETL Pipeline using Shell Scripting | Data Pipeline

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction ETL pipelines can be built from bash scripts. You will learn about how shell scripting can implement an ETL pipeline, and how ETL scripts or tasks can be scheduled using shell scripting. What is shell scripting? For Unix-like operating systems, a shell is a […]. The post ETL Pipeline using Shell Scripting | Data Pipeline appeared first on Analytics Vidhya.

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Analytics Report: Definite Guide You Will Ever Need

FineReport

With the help of powerful data-driven insights, companies can adapt their strategies. Analytical information’s importance has created a fluctuation of data that companies can’t simply collect into a single spreadsheet. A company needs an analytical report to help them filter important data and create a comprehensive management report. By empowering all employees with self-service BI tools that expand their knowledge, analytical reports can become one of the most valuable reporting

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Entity Resolution Checklist: What to Consider When Evaluating Options

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.

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Moments – A Must Known Statistical Concept for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Statistical Moments plays a crucial role while we specify our probability distribution to work with since, with the help of moments, we can describe the properties of statistical distribution. Therefore, they are helpful to describe the distribution. In Statistical Estimation and Testing of Hypothesis, […].

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Hugging Face Transformers Pipeline Functions | Advanced NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks. Prerequisites Knowledge of Deep Learning and Natural Language Processing (NLP) Introduction Transformers was introduced in the paper Attention is all you need; it is […].

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Four of the easiest and most effective methods to Extract Keywords from a Single Text using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Objectives: In this tutorial, I will introduce you to four methods to extract keywords/keyphrases from a single text, which are Rake, Yake, Keybert, and Textrank. We will briefly overview each scenario and then apply it to extract the keywords using an attached […].