Predict Electricity Consumption Using Time Series Analysis

Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.

https://www.kdnuggets.com/2020/01/predict-electricity-consumption-time-series-analysis.html

Automated Machine Learning: How do teams work together on an AutoML project?

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

https://www.kdnuggets.com/2020/01/teams-work-together-automl-project.html

Accuracy vs Speed – what Data Scientists can learn from Search

Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.

https://www.kdnuggets.com/2020/01/accuracy-speed-search.html

How HR Is Using Data Science and Analytics to Close the Gender Gap

The gender gap can extend to the lack of equal representation in certain industries or career paths, and there's an extraordinarily long way to go before people will be on equal footing in the labor market. Human resources professionals can rely on data analytics to make progress.

https://www.kdnuggets.com/2020/01/hr-data-science-analytics-gender-gap.html

Beginner’s Guide to K-Nearest Neighbors in R: from Zero to Hero

This post presents a pipeline of building a KNN model in R with various measurement metrics.

https://www.kdnuggets.com/2020/01/beginners-guide-nearest-neighbors-r.html

Why Python is One of the Most Preferred Languages for Data Science?

Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.

https://www.kdnuggets.com/2020/01/python-preferred-languages-data-science.html

Learn Without Limits With DataCamp’s Mobile Coding Courses

Our Mobile Coding Courses provide an immersive learn-by-doing experience—optimized for mobile and fully integrated with desktop!

https://www.datacamp.com/community/blog/learn-without-limits

Looking back at BigML’s 2019 in Numbers

2019 has come to an end and it seems to have gone in warp speed with so much happening in the fast-paced world of Machine Learning. 2019 was no exception to the rule among recent years in that it has witnessed a continued rise in interest in Machine Learning from all industries. Furthermore, many more […]

https://blog.bigml.com/2020/01/03/looking-back-at-bigmls-2019-in-numbers/

Cartoon: Teaching Ethics to AI

Ethics in AI has received significant attention recently, and the new KDnuggets cartoon examines the problem of teaching ethics to artificially intelligent entities.

https://www.kdnuggets.com/2020/01/cartoon-teaching-ethics-ai.html

Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020

Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we ...
The post Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/learning-path-data-scientist-machine-learning-2020/

How to Convert a Picture to Numbers

Reducing images to numbers makes them amenable to computation. Let's take a look at the why and the how using Python and Numpy.

https://www.kdnuggets.com/2020/01/convert-picture-numbers.html

Top Stories, Dec 30 – Jan 5: How To Ultralearn Data Science; Automated Machine Learning: How do teams work together on an AutoML project?

Also: Predict Electricity Consumption Using Time Series Analysis; What is the most important question for Data Science (and Digital Transformation); Why Python is One of the Most Preferred Languages for Data Science?; What is a Data Scientist Worth?; How to Speed up Pandas by 4x with one line of code

https://www.kdnuggets.com/2020/01/top-news-week-1230-0105.html

H2O Framework for Machine Learning

This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.

https://www.kdnuggets.com/2020/01/h2o-framework-machine-learning.html

Data Lakes vs. Data Warehouses

Understand the differences between the two most popular options for storing big data.

https://www.datacamp.com/community/blog/data-lakes-vs-data-warehouses

3 common data science career transitions, and how to make them happen

Breaking into a career in Data Science can depend on where you start. See if you fit into one of these three categories of "newbies," and then find out how to make your professional transition into the field.

https://www.kdnuggets.com/2020/01/3-common-data-science-career-transitions.html

Live Webinar: Learn how to build better machine learning pipelines

In this webinar, Jan 15 @ 12PM EST, we'll offer solutions to the common challenges data scientists and data engineers face when building a machine learning pipeline. Register now to attend live or to watch a recording afterwards.

https://www.kdnuggets.com/2020/01/cnvrg-webinar-better-machine-learning-pipelines.html

A Comprehensive Learning Path for Deep Learning in 2020

Introduction What a time to be working in the deep learning space! 2019 was chock full of deep learning-powered developments and breakthroughs – it ...
The post A Comprehensive Learning Path for Deep Learning in 2020 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/comprehensive-learning-path-deep-learning-2020/

5 Ways AI Is Changing The Healthcare Industry

The healthcare AI market is expected to reach 28 billion dollars by the year 2025. With such exponential growth, AI is undoubtedly likely to bring some drastic changes in the healthcare industry. Let’s look at five ways of how AI has changed the healthcare industry.

https://www.kdnuggets.com/2020/01/5-ways-ai-changing-healthcare-industry.html

Introducing Generalized Integrated Gradients (GIG): A Practical Method for Explaining Diverse Ensemble Machine Learning Models

There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.

https://www.kdnuggets.com/2020/01/generalized-integrated-gradients-explaining-ensemble-models.html

A Comprehensive Guide to Natural Language Generation

Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

https://www.kdnuggets.com/2020/01/guide-natural-language-generation.html

Python vs. R for Data Science: What’s the Difference?

Here’s how to determine when to use the two most popular languages for data science: Python and R.

https://www.datacamp.com/community/blog/when-to-use-python-or-r