Sat.Oct 03, 2020 - Fri.Oct 09, 2020

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Exploratory Data Analysis – The Go-To Technique to Explore Your Data!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized. The post Exploratory Data Analysis – The Go-To Technique to Explore Your Data! appeared first on Analytics Vidhya.

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Sharp Venture Capitalists Make Remarkable Inroads With Alternative Data

Smart Data Collective

The University of Hawaii reports that big data is shaking up the venture capital industry in unbelievable ways. Venture capitalists are finding new ways to leverage alternative data effectively for much higher yields. Big data plays a role in shifting the risk-reward calculus in the favor of venture capitalists. Venture capital is a high risk, high reward game.

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Is Writing as Important as Coding?

Eugene Yan

As careers grow, how does the balance between writing & coding change? Hear from 4 tech leaders.

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The “Right” Data Governance Approach

Alation

The post The “Right” Data Governance Approach appeared first on Alation.

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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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Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Finishing in the top 10% in Machine Learning Hackathons is a. The post Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons appeared first on Analytics Vidhya.

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How To Interact With Power BI Data In A PowerPoint Presentation

Smart Data Collective

Business intelligence is a crucial component in the chase to be on the top in this competitive corporate sphere. As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making. Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making.

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The Hidden Gems of Python – Libraries that make Data Science a Cakewalk

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As the data science community grows, Python is seen dominating the. The post The Hidden Gems of Python – Libraries that make Data Science a Cakewalk appeared first on Analytics Vidhya.

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A Simple Explanation of K-Means Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview K-means clustering is a very famous and powerful unsupervised machine learning. The post A Simple Explanation of K-Means Clustering appeared first on Analytics Vidhya.

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Confusion Matrix Is No More A Confusion for Data Science Aspirants!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After we have trained our model and have predicted the outcomes, The post Confusion Matrix Is No More A Confusion for Data Science Aspirants! appeared first on Analytics Vidhya.

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Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction How can Data Science, besides helping you professionally, improve the quality. The post Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Develop and Deploy an Image Classifier App Using Fastai

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Fastai is a popular open-source library used for learning and practicing. The post Develop and Deploy an Image Classifier App Using Fastai appeared first on Analytics Vidhya.

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Overcoming Class Imbalance using SMOTE Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Disclaimer: In this article, I’ll cover some resampling techniques to handle imbalanced. The post Overcoming Class Imbalance using SMOTE Techniques appeared first on Analytics Vidhya.

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Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI. The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya.

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Recurrent Neural Networks for Sequence Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I have been thinking of writing something related to Recurrent Neural. The post Recurrent Neural Networks for Sequence Learning 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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Predicting NYC AirBnB Rental Prices with TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Airbnb is an online marketplace that lets people rent out their. The post Predicting NYC AirBnB Rental Prices with TensorFlow appeared first on Analytics Vidhya.

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Welcome to Pywedge – A Fast Guide to Preprocess and Build Baseline Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The machine learning process involves various stages such as, Data Preparation. The post Welcome to Pywedge – A Fast Guide to Preprocess and Build Baseline Models appeared first on Analytics Vidhya.

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What Does Gradient Descent Actually Mean

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see what actually gradient Descent is. The post What Does Gradient Descent Actually Mean appeared first on Analytics Vidhya.

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Power of Marketing and Business Analytics – An Approach to Grow your Business Online from Scratch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Quoting Peter Drucker, “What gets measured, gets managed.” Have you ever pondered. The post Power of Marketing and Business Analytics – An Approach to Grow your Business Online from Scratch appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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How to Improve Class Imbalance using Class Weights in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Understand how class weight optimization works and how we can implement. The post How to Improve Class Imbalance using Class Weights in Machine Learning appeared first on Analytics Vidhya.

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A Hands-On Guide to Building a Visual Similarity-Based Recommendation System using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s competitive world of technology, it is very crucial for. The post A Hands-On Guide to Building a Visual Similarity-Based Recommendation System using Python appeared first on Analytics Vidhya.

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All About Decision Tree from Scratch with Python Implementation

Analytics Vidhya

Introduction Photo by Tim Foster on Unsplash If you see, you will find out that today, ensemble learnings are more popular and used by. The post All About Decision Tree from Scratch with Python Implementation appeared first on Analytics Vidhya.

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Headstart to Plotting Graphs using Matplotlib library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Matplotlib: John D. Hunter created Matplotlib, a plotting library for. The post Headstart to Plotting Graphs using Matplotlib library appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Optimizing Exploratory Data Analysis using Functions in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. “The more, the merrier” It is a perfect saying for the amount. The post Optimizing Exploratory Data Analysis using Functions in Python! appeared first on Analytics Vidhya.

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Complete R Tutorial To Build Probabilistic Graphical Models!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: Probabilistic Graphical Models (PGM) capture the complex relationships between random variables. The post Complete R Tutorial To Build Probabilistic Graphical Models! appeared first on Analytics Vidhya.

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Create Interactive Dashboards with Streamlit and Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In Data Visualization, Dashboard is the great Graphical User Interfaces that. The post Create Interactive Dashboards with Streamlit and Python appeared first on Analytics Vidhya.

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35 Classic Excel Hacks, Tips and Tricks for Analytics Professionals on Excel’s 35th Birthday!

Analytics Vidhya

Overview Microsoft Excel hacks, tips and tricks help make you a better analyst On Excel’s 35th birthday, we present 35 hacks, tips, and tricks. The post 35 Classic Excel Hacks, Tips and Tricks for Analytics Professionals on Excel’s 35th Birthday! appeared first on Analytics Vidhya.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The article covers the use of Generative Adversarial Networks (GAN), an. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya.

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How to Improve Your Business With Exploratory Data Analysis!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis is an approach to discover the insights in. The post How to Improve Your Business With Exploratory Data Analysis! appeared first on Analytics Vidhya.

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A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The first step in a data science project is to summarize, The post A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data appeared first on Analytics Vidhya.

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Getting Started with Feature Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Machine learning algorithms take features of a dataset as input, determine. The post Getting Started with Feature Engineering appeared first on Analytics Vidhya.

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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.