Sat.Apr 30, 2022 - Fri.May 06, 2022

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The DataHour: Build Your First Chatbot Using Open Source Tools

Analytics Vidhya

Dear Readers, The latest edition of our flagship learning series on everything in and about data analytics is sure to excite your minds, be prepared for the DataHour on Building your First Chatbot using Open Source Tools. The session will be hosted by Dr. Rachael Tatman- Staff Developer Advocate at Rasa, the world’s leading conversational […].

Chatbots 399
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Taking Their Time Series Talents to South Beach: How McLaren Is Gaining an Edge with Accurate Weather Data

DataRobot Blog

If you’ve ever driven through Texas or Florida during a rare Southern snowstorm, a few things quickly become cartoonishly obvious—your tyres matter, your driving matters, and your ability to navigate changing weather conditions really matters. As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The forecast calls for sunny skies and temperatures between 68?

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Active offline policy selection

DeepMind

To make RL more applicable to real-world applications like robotics, we propose using an intelligent evaluation procedure to select the policy for deployment, called active offline policy selection (A-OPS). In A-OPS, we make use of the prerecorded dataset and allow limited interactions with the real environment to boost the selection quality.

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Rethinking Human-in-the-Loop for Artificial Augmented Intelligence

BAIR

Figure 1: In real-world applications, we think there exist a human-machine loop where humans and machines are mutually augmenting each other. We call it Artificial Augmented Intelligence. How do we build and evaluate an AI system for real-world applications? In most AI research, the evaluation of AI methods involves a training-validation-testing process.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Handling Missing Values with Random Forest

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions. Most of the algorithms used in statistical modellings such as Linear regression, Logistic Regression, […].

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Active offline policy selection

DeepMind

To make RL more applicable to real-world applications like robotics, we propose using an intelligent evaluation procedure to select the policy for deployment, called active offline policy selection (A-OPS). In A-OPS, we make use of the prerecorded dataset and allow limited interactions with the real environment to boost the selection quality.

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Introduction to Image Segmentation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Image Segmentation Suppose we have this image and the question that we are trying to solve is, what is the object present in this image. The object of importance here is the dog. Now, this looks like a simple enough problem, […]. The post Introduction to Image Segmentation appeared first on Analytics Vidhya.

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Know About Ensemble Methods in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The variance is the difference between the model and the ground truth value, whereas the error is the outcome of sensitivity to tiny perturbations in the training set. Excessive bias might cause an algorithm to miss unique relationships between the intended outputs and the […].

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Getting Started with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding. Azure Synapse empowers numerous organizations in decision-making with the help of prescriptive and predictive analytics capabilities using its integration […].

Big Data 369
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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Approaching Classification With Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Classification Classification is one of the basic tasks that a machine can be trained to perform. This can include classifying whether it will rain or not today using the weather data, determining the expression of the person based on the facial […]. The post Approaching Classification With Neural Networks appeared first on Analytics Vidhya.

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The Ultimate Guide to Working With Mongo DB Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Mongo DB In the first part of this article, we will try to understand Mongo DB architecture along with how the Mongo DB database can be used for Data Science. We will first try to understand how is Mongo DB different […]. The post The Ultimate Guide to Working With Mongo DB Using Python appeared first on Analytics Vidhya.

Python 342
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Car Sales Demand Forecasting Using Pycaret

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will try to predict the car sales demand given the train and test data. This problem was introduced as a JOBATHON competition on the Analytics Vidhya platform which ran from 22 April 2022 to 24 April 2022. The data that we […]. The post Car Sales Demand Forecasting Using Pycaret appeared first on Analytics Vidhya.

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Apache Oozie: Scheduler System to Manage & Perform Hadoop Jobs

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Oozie Apache Oozie is a tool that allows us to run any application or job in any sequence within Hadoop’s distributed environment. We may schedule the job to run at a specified time with Oozie. What is Apache Oozie? Apache […]. The post Apache Oozie: Scheduler System to Manage & Perform Hadoop Jobs appeared first on Analytics Vidhya.

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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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Understand Text Mining Using No Code Tool Orange

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text. It is a process to transform the unstructured data (text […].

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Understanding Key Concepts on Data Warehouses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Data Warehouses During one of the technical webinars, it was highlighted where the transactional database was rendered no-operational bringing day to day operations to a standstill. The cause of the crash was attributed to the use of large-scale queries on the […].

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5 Python Libraries for Time-Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Time-Series A Time-Series is a sequence of data points collected at different timestamps. These are essentially successive measurements collected from the same data source at the same time interval. Further, we can use these chronologically gathered readings to monitor trends and […].

Python 283
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The DataHour Synopsis: Learning Path to Master Data Engineering in 2022

Analytics Vidhya

Data is the new oil of the industry. The way raw oil empowers the industrial economy, data is empowering the information economy. […]. The post The DataHour Synopsis: Learning Path to Master Data Engineering in 2022 appeared first on Analytics Vidhya.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Data Science as a Tool in Biopharmaceutical Industry

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the current scenario of the pandemic COVID-19 situation, biopharmaceuticals is an emerging and demanding field of life science, and data science is equally another popular discipline. Abundant literature is available on data science and biopharmaceutical industries with their achievements for public health […].

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An End-to-end Guide on ML Pipeline Using Apache Spark in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline using spark. We will create a Car price predictor using apache spark. When we want to implement a machine learning model that works on distributed data systems, the spark is the best method […]. The post An End-to-end Guide on ML Pipeline Using Apache Spark in Python appeared first on Analytics Vidhya.

ML 271
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A Beginners’ Guide to Apache Hadoop’s HDFS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With a huge increment in data velocity, value, and veracity, the volume of data is growing exponentially with time. This outgrows the storage limit and enhances the demand for storing the data across a network of machines. A unique filesystem is required to […]. The post A Beginners’ Guide to Apache Hadoop’s HDFS appeared first on Analytics Vidhya.

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Host Dynamic Website Using AWS EC2 Instance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on EC2 In this article, we will learn how to host a dynamic website using an EC2 instance. Many will create a dynamic website and will confuse about where to host it and how to host it. In this article, I will help […]. The post Host Dynamic Website Using AWS EC2 Instance appeared first on Analytics Vidhya.

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Understanding User Needs and Satisfying Them

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.

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Workings of Hadoop Distributed File System (HDFS)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. This article also describes the working and real-time applications. Hadoop is a powerful platform for supporting an enormous variety of data applications. Both structured and complex data can […].

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Free Access to Fundamentals of Microsoft Azure Course

Analytics Vidhya

Dear Readers, We are happy to announce that we are giving free access to all our readers of a course that’s so much in demand. Fundamentals of Microsoft Azure Introduction to Fundamentals of Microsoft Azure As we know, analyzing data is the need of the hour that businesses are looking for. Through data, companies can […]. The post Free Access to Fundamentals of Microsoft Azure Course appeared first on Analytics Vidhya.

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