Analytics Vidhya
DECEMBER 29, 2020
ArticleVideos Overview The projects are a way to enhance and improve your knowledge in the data science domain. To boost your resume, here we. The post 10 Data Science Projects Every Beginner should add to their Portfolio appeared first on Analytics Vidhya.
KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
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Analytics Vidhya
DECEMBER 24, 2020
Overview Reducing company costs, generating customer insights & intelligence, and improving customer experiences are the three most popular ML and AI use cases Here. The post Top 14 Artificial Intelligence Startups to watch out for in 2021! appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 22, 2020
Overview Your quest to understand how to become a data scientist in 2021 ends here Here’s a month on month plan that you can. The post A Super Useful Month-by-Month Plan to Master Data Science in 2021 appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Analytics Vidhya
DECEMBER 18, 2020
Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 17, 2020
Are you Ready to Become a Data Scientist in 2021? A new year beckons! New resolutions to become a data scientist have to be. The post A Comprehensive Learning Path to Become a Data Scientist in 2021! appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
DECEMBER 12, 2020
Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 12, 2020
This article was published as a part of the Data Science Blogathon. Overview: Feature engineering is one of the most critical steps of the. The post Feature Engineering Using Pandas for Beginners appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 11, 2020
Introduction Find the key to unlock the magic, or else it is all fuzzy logic It was the pre-corona period and I went to. The post Pattern Recognition: The basis of Human and Machine Learning appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 11, 2020
Overview Here are 14 free data science books to get started and upgrade yourself on various fronts By no means is this an exhaustive. The post 14 Free Data Science Books to Add your list in 2020 to Upgrade Your Data Science Journey! appeared first on Analytics Vidhya.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Analytics Vidhya
DECEMBER 8, 2020
This article was published as a part of the Data Science Blogathon. Introduction The main motto of this post is to give a brief. The post Top 8 Low code/No code ML Libraries every Data Scientist should know appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 3, 2020
This article was published as a part of the Data Science Blogathon. Introduction Cluster analysis or clustering is an unsupervised machine learning algorithm that. The post A Detailed Introduction to K-means Clustering in Python! appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 1, 2020
This article was published as a part of the Data Science Blogathon. Introduction: These days if we read anything, we can see something is. The post Use of Machine Learning in Dairy farming appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Analytics Vidhya
NOVEMBER 30, 2020
Introduction Becoming a data scientist has become like the “American Dream” – everybody wants to have it! However, for all the beginners out there. The post How can you Master Data Science without a Degree in 2020? appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 26, 2020
Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 5, 2020
Introduction “In case you are only starting your journey, I suggest to read some great notebooks to understand what is interesting to people, then. The post Kaggle Grandmaster Series – Exclusive Interview with Andrey Lukyanenko (Notebooks and Discussions Grandmaster) appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 18, 2020
Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
NOVEMBER 16, 2020
Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 21, 2020
Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 1, 2020
Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Analytics Vidhya
OCTOBER 27, 2020
Overview A/B testing is a popular way to test your products and is gaining steam in the data science field Here, we’ll understand what. The post A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 14, 2020
Introduction In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is. The post Building an end to end image classification/recognition application appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the. The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 7, 2020
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Analytics Vidhya
NOVEMBER 5, 2020
Introduction Learning data science can be intimidating. Especially so, when you are just starting your journey. Which tool to learn – R or Python? The post 12 Essential Tips for People starting a Career in Data Science appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 5, 2020
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.
Analytics Vidhya
OCTOBER 5, 2020
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.
Analytics Vidhya
OCTOBER 4, 2020
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.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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