Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

Data Science 400

Data Science Python Data Scientist Machine Learning 400

Eugene Yan

DECEMBER 1, 2021

Daliana and I had a 2hr chat on all things data science and machine learning.

Data Scientist 130

Data Scientist ML Machine Learning Data Science 130

DeepMind

NOVEMBER 30, 2021

More than a century ago, Srinivasa Ramanujan shocked the mathematical world with his extraordinary ability to see remarkable patterns in numbers that no one else could see. The self-taught mathematician from India described his insights as deeply intuitive and spiritual, and patterns often came to him in vivid dreams.

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Dlabs.ai

NOVEMBER 29, 2021

Artificial intelligence is an invaluable educational resource. The technology enables students to follow guided, hyper-personalized paths, delivering just the right difficulty level for them to learn at their best. After all, overly simple — or excessively demanding — materials only irritate, even overwhelm, students. In contrast, if the appropriate resources push students just far enough, they will become more focused and, consequently, more willing to learn.

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Artificial Intelligence Artificial Intelligence AI AI 52

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.

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

Natural Language Processing 400

Natural Language Processing Chatbots Python Data Science 400

DeepMind

NOVEMBER 30, 2021

Our main results prove that while reward can express many tasks, there exist instances of each task type that no Markov reward function can capture. We then provide a set of polynomial-time algorithms that construct a reward function which allows an agent to optimize tasks of each of these three types, and correctly determine when no such reward function exists.

Algorithm 57

Algorithm 57

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

Neural Network 400

Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 400

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

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Explainability Machine Learning Data Science Deep Learning 396

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

Data Science 394

Data Science Algorithm ML Python 394

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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?

Generative AI

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases. In the field of Data Science most of the time you are supposed to fetch the data from any RDBMS and run some […]. The post A Complete Beginner-Friendly Guide to SQL for Data Science appeared first on Analytics Vidhya.

Data Science 393

Data Science 393

Analytics Vidhya

DECEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].

Data Science 391

Data Science Python Machine Learning 391

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes. Artificial Neural networks ability is exemplary in tackling large and highly complex Machine […].

Neural Network 386

Neural Network Machine Learning Data Science Deep Learning 386

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data. In this process, data is pulled (extracted) from a source system, to […]. The post Good ETL Practices with Apache Airflow appeared first on Analytics Vidhya.

ETL 380

ETL Big Data Data Integration Data Science 380

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.

LLM

Analytics Vidhya

NOVEMBER 28, 2021

This article was published as a part of the Data Science Blogathon. Consider a scenario wherein instead of reading an entire article or research paper you could just read the most important statements, this is possible through text summarization. Text summarization takes an input of a sequence of words aka the input article and returns […]. The post A beginner’s guide to understanding Text Summarization with NLP appeared first on Analytics Vidhya.

NLP 373

NLP Data Science Python 373

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. The string is one standard Data type in Python. You will find string data type in every application programming language like Java, Python, C++ because while developing an application you need to talk to the user and it is done in strings. Whereas […]. The post String Data Structure in Python | Complete Case study appeared first on Analytics Vidhya.

Python 371

Python Data Science 371

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Overview Hello readers! Hope you know about TensorFlow. TensorFlow is an open-source artificial intelligence library using data flow graphs to build models developed by Google. Using this, we can create large-scale neural networks with n number of layers. This TensorFlow is considered the […].

Python 371

Python Neural Network Artificial Intelligence Artificial Intelligence 371

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Whenever we saw our childhood diaries, we always wanted to recognize all the places we had visited at least once in our childhood. But we don’t remember their names. Most Indian people visit various temples but they always forget the names of these temples. […]. The post Landmark Detection with Deep Learning appeared first on Analytics Vidhya.

Deep Learning 364

Deep Learning Data Science Python 364

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Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. A brief introduction to transfer learning The most pervasive problems in machine learning are related to data: it can be either insufficient, or low-quality. One obvious solution to this set of problems is to acquire more and better data. However, these two often do […]. The post Transfer learning with TensorFlow appeared first on Analytics Vidhya.

Machine Learning 359

Machine Learning Data Science Deep Learning Python 359

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Cryptocurrencies are digital tokens that can easily replace traditional currency in the future. Easy access is the reason they are becoming so popular so fast. Almost anyone can own these coins and are accepted as payment just like traditional currency. The blockchain technology […].

Data Science 353

Data Science Python Machine Learning 353

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Artificial Neural Networks can be used to solve a wide variety of problems. Keras is an open-source library that can be used to implement artificial neural networks in Keras. Keras has all the major features required to build and train artificial neural networks. […]. The post Bank Note Authentication using Keras Sequential Model appeared first on Analytics Vidhya.

Neural Network 353

Neural Network Data Science Deep Learning Python 353

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will explain to you how will we use Django Framework for creating some really exciting data science projects in Windows Machine. I will show you the complete procedure to create a website and also integrate a machine learning […]. The post Using Django Framework For Making Exciting Data Science Projects – An Example Use Case appeared first on Analytics Vidhya.

Data Science 351

Data Science Explainability Machine Learning Python 351

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.

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview Decision trees for healthcare analysis are the most widely used machine learning algorithms used for both classification and regression tasks. These are powerful algorithms that can fit complex data. These algorithms form the basis of ensemble algorithms in machine learning.

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Algorithm Machine Learning Data Science 348

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is […]. The post Want to Survive in Data Science: Understand the Basics of Relational Databases appeared first on Analytics Vidhya.

Data Science 346

Data Science Deep Learning Explainability Machine Learning 346

Analytics Vidhya

DECEMBER 1, 2021

This article was published as part of the Data Science Blogathon. This guide entails concepts like ensemble learning, Voting Classifiers, a brief about bagging, pasting, and Out-of-bag Evaluation and their implementation. A brief about Random Forest, Extra Trees, and Feature Importance. Lastly, we will wrap things up by taking a quick look at Boosting and some […].

Python 342

Python Data Science Machine Learning 342

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction Data Science associates with a huge variety of problems in our daily life. One major problem we see every day include examining a situation over time. Time series forecast is extensively used in various scenarios like sales, weather, prices, etc…, where the […].

Data Science 334

Data Science 334

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Data Analysis

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction Pure Language Processing is an interdisciplinary concept that uses the fundamentals of computational linguistics and Synthetic Intelligence to understand how human languages interact with technology. To apply NLP to real-world scenarios, it is necessary to have a thorough grasp of various terminology […].

Natural Language Processing 330

Natural Language Processing Computational Linguistics NLP Data Science 330

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable. Or As a loan manager, do you want to know which loan applications are safe to lend to and which ones […]. The post Implementation of Gaussian Naive Bayes in Python Sklearn appeared first on Analytics Vidhya.

Python 330

Python Categorization Data Science Machine Learning 330

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science. It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms. One of the popular statistical processes is Hypothesis Testing having vast usability, not […].

Deep Learning 329

Deep Learning Data Science Machine Learning Algorithm 329