KDnuggets

JANUARY 20, 2020

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

Algorithm 400

Algorithm 400

Analytics Vidhya

JANUARY 19, 2020

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.

Data Scientist 364

Data Scientist Analytics Analytics Data Analysis 364

Dataconomy

JANUARY 23, 2020

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

Analytics Analytics Machine Learning Machine Learning 213

Data Science 101

JANUARY 24, 2020

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

Cloud Data 129

Cloud Data Data Science Azure Machine Learning 129

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

KDnuggets

JANUARY 20, 2020

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.

Data Scientist 400

Data Scientist 400

Analytics Vidhya

JANUARY 22, 2020

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.

Analytics 63

Analytics Analytics Natural Language Processing Python 63

Smart Data Collective

JANUARY 21, 2020

When it comes to bridging the existing gap between data science and its usage , targeting better marketing results, nothing beats the utilitarian nature of AI. While artificial intelligence alone is capable of sifting through humongous data sets for analyzing the relevant ones, AI marketing is slowly but steadily shaping up into a venture that comes with a host of benefits over the conventional ways of promoting a product or service.

Artificial Intelligence 129

Artificial Intelligence Artificial Intelligence AI AI 129

KDnuggets

JANUARY 22, 2020

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

Python 393

Python 393

Analytics Vidhya

JANUARY 20, 2020

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.

Deep Learning 307

Deep Learning Deep Learning Analytics Analytics 307

DataRobot

JANUARY 22, 2020

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

AI AI 126

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

Smart Data Collective

JANUARY 20, 2020

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

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 128

KDnuggets

JANUARY 21, 2020

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

Artificial Intelligence 388

Artificial Intelligence Artificial Intelligence AI AI 388

Analytics Vidhya

JANUARY 21, 2020

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 286

Analytics Analytics Machine Learning Machine Learning 286

DataRobot

JANUARY 21, 2020

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

AI AI 23

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Smart Data Collective

JANUARY 24, 2020

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 121

Power BI Business Intelligence Business Intelligence SQL 121

KDnuggets

JANUARY 22, 2020

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.

Data Science 382

Data Science 382

Data Science 101

JANUARY 22, 2020

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.

Data Science 115

Data Science Azure Machine Learning Machine Learning 115

Depends on the Definition

JANUARY 20, 2020

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.

Machine Learning 52

Machine Learning Machine Learning Data Quality 52

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Smart Data Collective

JANUARY 18, 2020

AI has led to a number of impressive changes over the years. Even a number of technologies that were considered cutting edge a few years ago are obsolete in the age of AI. VPNs are a prime example. AI is creating new solutions for VPNs, which is enhancing privacy in a number of ways. AI Creates New Passthroughs for VPNs. A little over a year ago, Tech Radar published an article about the future of AI with the VPN industry.

AI 108

AI AI Machine Learning Machine Learning 108

KDnuggets

JANUARY 20, 2020

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 307

Python Analytics Analytics 307

KDnuggets

JANUARY 23, 2020

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.

Data Scientist 307

Data Scientist Data Science 307

KDnuggets

JANUARY 21, 2020

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 292

AI AI 292

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?

KDnuggets

JANUARY 21, 2020

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.

Deep Learning 289

Deep Learning Deep Learning 289

KDnuggets

JANUARY 20, 2020

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

AI 285

AI AI 285

KDnuggets

JANUARY 22, 2020

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.

Data Scientist 235

Data Scientist Deep Learning Deep Learning Data Science 235

KDnuggets

JANUARY 22, 2020

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

Algorithm 229

Algorithm Python 229

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

KDnuggets

JANUARY 23, 2020

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

Natural Language Processing 225

Natural Language Processing AI AI 225

KDnuggets

JANUARY 23, 2020

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!

Deep Learning 186

Deep Learning Deep Learning Predictive Analytics Analytics 186

KDnuggets

JANUARY 23, 2020

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 178

Algorithm 178

KDnuggets

JANUARY 20, 2020

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.

Decision Trees 175

Decision Trees Algorithm Machine Learning Machine Learning 175

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!