Category Archives: Data Science News

There’s a clear inclination towards the MLaaS model across industries, given the fact that companies today have an option to select from a wide range of solutions that can cater to diverse business needs. Here is a look at 3 of the top ML platforms for data excellence. Originally from KDnuggets https://ift.tt/2LJ9kdC source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-critical-comparison-of-machine-learning-platforms-in-an-evolving-market

Also: All Machine Learning Algorithms You Should Know in 2021; DeepMind’s MuZero is One of the Most Important Deep Learning Systems Ever Created Originally from KDnuggets https://ift.tt/3p8Iuco source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-january-stories-how-i-got-4-data-science-offers-and-doubled-my-income-2-months-after-being-laid-off-best-python-ides-and-code-editors-you-should-know

Today’s engineers need to be equipped with the tools to take on leadership positions across industries. The new master’s program at the University of Chicago’s Pritzker School of Molecular Engineering will provide you with a streamlined and flexible degree to give you broad exposure across science and engineering disciplines, while preparing you for the immediateContinue reading “Explore Molecular Engineering at UChicago”

This article presents 7 hints on how to get out of the quicksand. Originally from KDnuggets https://ift.tt/3tLxSE4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/my-machine-learning-model-does-not-learn-what-should-i-do

Predicting the impact of the White Swan event is not an easy job. Applying supervised machine learning techniques and collecting inputs from open resources, I aim to analyze the influencing indicators to the unemployment rate in Australia and forecast the unemployment rate in 1Q2021 as a result of Covid-19. Machine learning (supervised) techniques: Time-series forecastingContinue reading “Applying Machine Learning to forecast the Unemployment Rate in Australia as a result of Covid-19”

The Data Scientist professional has emerged as a true interdisciplinary role that spans a variety of skills, theoretical and practical. For the core, day-to-day activities, many critical requirements that enable the delivery of real business value reach well outside the realm of machine learning, and should be mastered by those aspiring to the field. OriginallyContinue reading “7 Most Recommended Skills to Learn to be a Data Scientist”

Are your customers turning cold towards your products and services? Are they choosing your competitors over you? Is it getting difficult for you to meet their growing demands? If your answer to all these questions is a yes, it might be time to overhaul your customer experience strategy. The consumers of this digital era lookContinue reading “How Artificial Intelligence Revolutionizes Customer Experience”

We need to upgrade to stay relevant in the industry otherwise will be obsoleted AI is an area of computer science that emphasizes on the creation of intelligent machines just like humans, which can work and react just like us. They are much more accurate and precise in their work. These bots are more efficientContinue reading “Will Machines replace us in the future?”

Knowing the differences between the business intelligence and data science is more than just a matter of semantics. Originally from KDnuggets https://ift.tt/3q6TDMk source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-science-vs-business-intelligence-explained

The Best Data Science Project to Have in Your Portfolio; Deep learning doesn’t need to be a black box; Build Your First Data Science Application; How to create stunning visualizations using python from scratch; How to Get Your First Job in Data Science without Any Work Experience Originally from KDnuggets https://ift.tt/3d0cRj4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-21n06-feb-10-the-best-data-science-project-to-have-in-your-portfolio-deep-learning-doesnt-need-to-be-a-black-box