Sat.Jan 18, 2020 - Fri.Jan 24, 2020

article thumbnail

I wanna be a data scientist, but… how?

KDnuggets

It’s easy to say "I wanna be a data scientist," but. where do you start? How much time is needed to be desired by companies? Do you need a Master’s degree? Do you need to know every mathematical concept ever derived? The journey might be long, but follow this plan to help you keep moving forward toward your career goal.

article thumbnail

Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know

Analytics Vidhya

Overview Singleton scalar for missing values Dedicated datatype for strings Improved output formats and data summaries Introduction There are only a handful of. The post Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know appeared first on Analytics Vidhya.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Why over one-third of AI and Analytics Projects in the Cloud fail?

Dataconomy

How are various organizations handling the accelerating transition of data to the cloud? What are the obstacles in data cleaning for analytics and the time constraints companies face when preparing data for analytics, AI and Machine Learning (ML) initiatives? Here is a look at some insights from a recent report. The post Why over one-third of AI and Analytics Projects in the Cloud fail?

Analytics 213
article thumbnail

Cloud Data Science 4

Data Science 101

It was an exciting cloud data science week. Lots of interesting stuff to cover, so let’s get started. News. Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Google Dataset Search goes GA – search and discover millions of datasets Google Cloud GPU Price Cut – Google reduces the prices of NVIDIA T4 GPUs which should save some money for people doing AI PyTorch 1.4 Relea

article thumbnail

Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

article thumbnail

The Data Science Interview Study Guide

KDnuggets

Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.

article thumbnail

Want to Generate your own Music using Deep Learning? Here’s a Guide to do just that!

Analytics Vidhya

Overview Learn how to develop an end-to-end model for Automatic Music Generation Understand the WaveNet architecture and implement it from scratch using Keras Compare. The post Want to Generate your own Music using Deep Learning? Here’s a Guide to do just that! appeared first on Analytics Vidhya.

More Trending

article thumbnail

NRF 2020: Putting the “AI” in Retail

DataRobot

As always too common, retail is often written about as an industry that is in decline and needs triple bypass heart surgery to bring it back to the good old days where stores were packed with excited customers ready to spend their hard-earned cash. It is hard to argue that retail is not in a tough period when so many retailers continue to close unprofitable stores and we see some legendary brands going out of business altogether.

AI 126
article thumbnail

Top 5 AI trends for 2020

KDnuggets

We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?

AI 275
article thumbnail

Understanding Class Sensitivity in Classification Problems (using a CIFAR-10 Case Study!)

Analytics Vidhya

Overview A fascinating deep dive into the problem of how many classes should you use in a classification problem The authors present their findings. The post Understanding Class Sensitivity in Classification Problems (using a CIFAR-10 Case Study!) appeared first on Analytics Vidhya.

Analytics 227
article thumbnail

DP 100 Updated – Microsoft Data Science Certification

Data Science 101

DP 100 Updated! Microsoft has updated the Data Science Certification exam. I took the exam about a year ago and it was a bit out of date back then. It should now match the current focus and tools on Azure. I have covered my experience and what topics are on the exam. Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge.

article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?

article thumbnail

Top DevOps Trends that Will Matter in 2020 For Your Business

Smart Data Collective

Have you ever heard of the most effective DevOps e.g. Development Operations practices? If you haven’t, then you should start to care about implementing DevOps infrastructure into your business as it helps to deliver applications or any software faster and effectively while spending fewer team efforts. Furthermore, thanks to such benefits this field of development is growing very fastly and it’s critically important to optimize your product delivery and maintenance that can be done through imple

Power BI 101
article thumbnail

Python String Processing Primer

KDnuggets

Pursuing a text analytics path but don't know where to start? Try this string processing primer to first gain an understanding of using Python to manipulate and process strings at a basic level.

Python 285
article thumbnail

Find label issues with confident learning for NLP

Depends on the Definition

In every machine learning project, the training data is the most valuable part of your system. In many real-world machine learning projects the largest gains in performance come from improving training data quality. Training data is often hard to aquire and since the data can be large, quality can be hard to check.

article thumbnail

3 Important NLP Libraries for Indian Languages You Should Try Out Today!

Analytics Vidhya

Overview Ever wondered how to use NLP models in Indian languages? This article is all about breaking boundaries and exploring 3 amazing libraries for. The post 3 Important NLP Libraries for Indian Languages You Should Try Out Today! appeared first on Analytics Vidhya.

article thumbnail

Marketing Operations in 2025: A New Framework for Success

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.

article thumbnail

Here Is How Artificial Intelligence Can Make Blogging More Productive

Smart Data Collective

It goes without saying that blogging has slowly and steadily evolved into an indispensable marketing tool. While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level. Moreover, blogging is one marketing activity that needs to be initiated flawlessly for massive returns and any deviation from the perfect path can readily diminish the gains and

article thumbnail

What Do Data Scientists in Europe Do & How Much Are They Worth?

KDnuggets

Interested in knowing what a data scientist is worth in Europe, and what one does? Read this overview of a recent survey on the topic and gain some insight into the European data science professional job market.

article thumbnail

Grammy Predictions 2020: Tuning in to the Song and Record of the Year

DataRobot

This blog is meant to be a fun and unique take on predicting song of the year for the 62nd Annual Grammy Awards.

AI 23
article thumbnail

Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem

KDnuggets

The new algorithm takes a novel approach to neural architecture search.

Algorithm 373
article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

article thumbnail

Artificial Intelligence Books to Read in 2020

KDnuggets

Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!

article thumbnail

The 5 Most Useful Techniques to Handle Imbalanced Datasets

KDnuggets

This post is about explaining the various techniques you can use to handle imbalanced datasets.

Python 323
article thumbnail

Explaining Black Box Models: Ensemble and Deep Learning Using LIME and SHAP

KDnuggets

This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

article thumbnail

Top KDnuggets tweets, Jan 15-21: My Pandas Cheat Sheet; 5 Key Reasons Why Data Scientists Are Quitting their Jobs

KDnuggets

5 Key Reasons Why Data Scientists Are Quitting their Jobs; My Pandas Cheat Sheet; Google Colab: Jupyter Lab on steroids (perfect for Deep Learning); Top 5 Must-have Data Science Skills.

article thumbnail

The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

article thumbnail

How to Get Started With Algorithmic Finance

KDnuggets

Algorithmic finance has been around for decades as a money-making tool, and it's not magic. Learn about some practical strategies along with and introduction to code you can use to get started.

Algorithm 166
article thumbnail

Big Data. Big Impact

KDnuggets

Ramapo College’s Master of Science in Data Science program will teach you to collect, synthesize, and analyze big data, become skilled in programming languages like R and Python, and leverage advanced tools to meet the demands of modern business and science.

Big Data 156
article thumbnail

How to reinvent your career with computer science

KDnuggets

There is great news for anyone looking to make a career switch into computer science. So, what does it take to make the leap? Check out three top tips for budding computer scientists, as well as the Computer Science online MSc from the University of Bath.

article thumbnail

PAW Healthcare Sneak Peek Agenda | Munich, 11-12 May

KDnuggets

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

article thumbnail

How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

article thumbnail

Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained

KDnuggets

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.

article thumbnail

We Created a Lazy AI

KDnuggets

This article is an overview of how to design and implement reinforcement learning for the real world.

AI 219
article thumbnail

NLP Year in Review — 2019

KDnuggets

comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP).

article thumbnail

Random Forest — A Powerful Ensemble Learning Algorithm

KDnuggets

The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier.

Algorithm 199
article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.