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 385

Data Scientist 385

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 357

Data Scientist Analytics Analytics Data Analysis 357

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?

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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

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Cloud Data Data Science Azure Machine Learning 129

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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?

AI

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.

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Data Science 323

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.

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Deep Learning Deep Learning Analytics Analytics 306

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.

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AI AI 126

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.

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Python Analytics Analytics 296

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.

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Analytics Analytics Machine Learning Machine Learning 228

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.

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Data Science Azure Machine Learning Machine Learning 115

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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.

Database

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 100

Power BI Business Intelligence Business Intelligence SQL 100

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?

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AI AI 277

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.

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Machine Learning Machine Learning Data Quality 52

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.

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Analytics Analytics Natural Language Processing Python 60

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.

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

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Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 98

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 284

Data Scientist Data Science 284

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

KDnuggets

JANUARY 20, 2020

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

Algorithm 387

Algorithm 387

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.

Data Science

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!

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Artificial Intelligence Artificial Intelligence AI AI 331

KDnuggets

JANUARY 22, 2020

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

Python 339

Python 339

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.

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Deep Learning Deep Learning 244

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.

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Data Scientist Deep Learning Deep Learning Data Science 180

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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.

Analytics

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 156

Algorithm 156

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.

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Decision Trees Algorithm Machine Learning Machine Learning 152

KDnuggets

JANUARY 22, 2020

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.

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Big Data Big Data Data Science Python 152

KDnuggets

JANUARY 21, 2020

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.

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Computer Science Computer Science Data Science 151

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.

Analytics

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!

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Deep Learning Deep Learning Predictive Analytics Analytics 159

KDnuggets

JANUARY 20, 2020

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

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AI AI 209

KDnuggets

JANUARY 22, 2020

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

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Algorithm Python 200

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).

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Natural Language Processing AI AI 164

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.