Analytics Vidhya

Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub

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Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python

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Overview Seaborn is a popular data visualization library for Python Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data. The post Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python appeared first on Analytics Vidhya.

4 Unique Methods to Optimize your Python Code for Data Science

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Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya.

Everything you Should Know about p-value from Scratch for Data Science

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Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more. The post Everything you Should Know about p-value from Scratch for Data Science appeared first on Analytics Vidhya.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!

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Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on. The post Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! appeared first on Analytics Vidhya.

11 Innovative Data Visualizations you Should Learn (in Python, R, Tableau and D3.js)

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Overview A look at 11 mind-blowing and innovative data visualizations in Python, R, Tableau and D3.js These data visualizations span a variety of real-world. The post 11 Innovative Data Visualizations you Should Learn (in Python, R, Tableau and D3.js) appeared first on Analytics Vidhya.

Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python

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Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models?

10 Powerful Python Tricks for Data Science you Need to Try Today

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Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.

Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

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Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework

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Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, The post Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework appeared first on Analytics Vidhya.

A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework

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Overview Real-time object detection is taking the computer vision industry by storm Here’s a step-by-step introduction to SlimYOLOv3, the latest real-time object detection framework.

7 Innovative Machine Learning GitHub Projects you Should Try Out in Python

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Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

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Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python

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Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used.

Build an Image Classification Model using Convolutional Neural Networks in PyTorch

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Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya.

Game (Theory) for AI? An Illustrated Guide for Everyone

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Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we. The post Game (Theory) for AI? An Illustrated Guide for Everyone appeared first on Analytics Vidhya.

Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)

Analytics Vidhya

Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code)

Analytics Vidhya

Overview We look at the latest state-of-the-art NLP library in this article called PyTorch-Transformers We will also implement PyTorch-Transformers in Python using popular NLP.

A Comprehensive Guide to Build your own Language Model in Python!

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Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.

The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life

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Overview We are the in middle of a golden age of machine learning applications Here’s a comprehensive list of popular and common machine learning. The post The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life appeared first on Analytics Vidhya.

3 Beginner-Friendly Techniques to Extract Features from Image Data using Python

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Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but. The post 3 Beginner-Friendly Techniques to Extract Features from Image Data using Python appeared first on Analytics Vidhya.

Assessing and Fostering a Culture of Innovation

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

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Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya.

Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model

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Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification. The post Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model appeared first on Analytics Vidhya.

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

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Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

11 Superb Data Science Videos Every Data Scientist Must Watch

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Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural. The post 11 Superb Data Science Videos Every Data Scientist Must Watch appeared first on Analytics Vidhya.

Measure the Immeasurable: Beyond Vanity Metrics

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

9 Powerful Tips and Tricks for Working with Image Data using skimage in Python

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Overview New to working with image data? The skimage module in Python is an ideal starting point Learn 8 simple yet powerful tricks for. The post 9 Powerful Tips and Tricks for Working with Image Data using skimage in Python appeared first on Analytics Vidhya.

6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists

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Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.

How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy

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Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply.

8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More!

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Overview Using data science algorithms to generate art and music? These 8 AI projects will blow your mind Tap into your creative and artistic. The post 8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More! appeared first on Analytics Vidhya.

Leverage Your Organization for Best Product Decisions

Speaker: Rene Kolga, Senior Director of Product and Marketing, Nyotron

You can learn a lot by studying your product data, but the real magic happens when product managers blend different types of data from different sources. If you want to blend data and intuition to make bold decisions that move your product forward, you'll need to open yourself up to new data sources - but where do you get this new information? Rene Kolga, Senior Director of Product and Marketing at Nyotron, knows the answer: from other teams in your organization! Join us as Rene goes through the different teams you'll find in a B2B organization, how to build a strong relationship with those teams, and what kinds of insights you can get that will benefit your product.

6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python)

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Overview Which programming language should you pick for data science? Here’s a list of 6 powerful ones that are not Python or R These. The post 6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python) appeared first on Analytics Vidhya.

Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview

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Introduction You’ve finally done it! You have landed an interview for a data science role. Now, a day before your interview, you’re not sure. The post Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview appeared first on Analytics Vidhya.

Mathematics behind Machine Learning – The Core Concepts you Need to Know

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Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya. Machine Learning

Build a Machine Learning Model in your Browser using TensorFlow.js and Python

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Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js and Python appeared first on Analytics Vidhya.

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.