Data science is a collective pool of various algorithms, tools, machine learning principles that work in unison to extract hidden patterns from raw data. It requires a diverse set of skills and demands knowledge from aspects of mathematics, science, communication, and business. Honing a diverse skill set, data scientists gain the ability to analyze numbers and influence decisions.
The core objective of data scientists lay in bridging the gap between numbers and actions by using…Continue
Added by Niranjan on September 11, 2020 at 12:30am — No Comments
Remarketing is how you connect with people who have earlier interacted with your Site or mobile app. Although the word is used interchangeably with retargeting, both denote different plans of action. Retargeting is a sub-discipline of remarketing and is only about serving online or offline ads to potential customers based on cookies.…Continue
Added by Hemant Warudkar on September 7, 2020 at 9:30pm — No Comments
Harvard Business Review has declared data science as the ‘sexiest profession of the 21st century’, and rightfully so. Keeping in mind, the amount of data being generated each day, the future scope of data science is bright, in fact, very bright. Students of technology, business, economics, mathematics, computer science, and the related subject domains, are all eligible to prepare for a data analyst role.
In the U.S., it is expected that there will exist 2.7 million openings…Continue
Added by Aileen Scott on September 1, 2020 at 7:30pm — No Comments
AI for People and Business is an AI book and AI strategy framework. Here's the official book trailer where I explain important topics that are covered in the book, as well as the beneficial aspects of reading it and the importance of developing a strong AI strategy.
FREE CHAPTER DOWNLOAD -…Continue
Added by Alex Castrounis on August 27, 2020 at 7:20am — No Comments
Address data is semi-structured, making it one of the most challenging components in a data matching activity. For long now, manual data matching methods including extensive SQL programming and spreadsheet formulas have been used to match address lists. While this may have been workable and effective in the past, it is no longer a viable method to handle complex data from third-party sources.
In this quick post, I cover key challenges to manual address data matching and how a…Continue
Added by Farah Kim on August 27, 2020 at 2:49am — No Comments
The amount of data created globally, to date, reached an overwhelming, 59 zettabytes, in 2020, with 90% of the world’s data being produced in the last two years alone. We are generating 2.5 quintillion bytes of data each day in the present era.
Amount of data produced worldwide…Continue
Added by Aileen Scott on August 13, 2020 at 10:50pm — No Comments
Added by Gregory Thompson on August 5, 2020 at 2:06pm — No Comments
That data analytics is big is not in dispute. Global revenues for big data software and services are expected to grow from USD 42 billion in 2018 to USD 103 billion in 2027, at a CAGR of 10.48%. And in the United States itself, by 2020, about 2.7 million job postings for data analytics and data science are expected.Continue
Added by Aileen Scott on August 4, 2020 at 10:21pm — No Comments
Milvus is an open-source vector similarity search engine powered by approximate nearest neighbor search (ANNS) algorithms such as Faiss, NMSLIB, and Annoy.
To make a vector search more intuitive and easy to use, we introduced TableFile and metadata in Milvus.
In this article, we will mainly describe how vector data are recorded in the memory of Milvus, and how these records are maintained.
Below are our main design goals:
Added by Kate Shao on July 29, 2020 at 10:32pm — No Comments
If you were to invest in real estate, what would be the most important factor you’d take into account? Would it be the age of the building, its location, or maybe how many owners it previously had?
While all of the above will certainly be important to you (though to varying extents), there’s one universal factor that will either be a deal-breaker or make you want to go all in.
You’ve guessed it — the price.
We all have a rough overview of…Continue
Added by Mario Inter on July 29, 2020 at 1:42am — No Comments
Mobile app development is a popular service offering today – thanks to the immense popularity of a mobile phone in people’s lives. And it would be disastrous for companies not to leverage this opportunity if they still haven’t addressed it. So, to make use of this ever-growing avenue more and more, organizations all over the world are rushing to embrace this trend. However, they also understand that merely developing a mobile app is not nearly enough, i.e., if they genuinely want an edge…Continue
Added by Ryan Williamson on July 28, 2020 at 9:22pm — No Comments
SAS Tutorials on 9to5sas are designed for SAS programmers, Data Scientist, Data Analyst, and all the readers who want to learn SAS and need to transform raw data to produce insights for business decisions using SAS.
Being SAS Professional I can tell you why SAS. I would say, its bit tiny subject however very Unique, competitive and leading within the analytics world. SAS is the main statistic tool certified by the FDA,…Continue
Added by Subhro Kar on July 25, 2020 at 8:30am — No Comments
Data scientist ranks third on the list of LinkedIn emerging jobs of 2020. Similarly, it ranks first on Glassdoor’s hottest jobs of 2020. The data scientist role has been consistently ranked among top jobs in the past few years. There’s not a slightest of doubt that data scientists are in huge demand and are expected to stay in high demand in the coming years. …
Added by Aileen Scott on July 6, 2020 at 3:00am — No Comments
Added by Kate Shao on June 8, 2020 at 11:27pm — No Comments
Often touted as one of the top jobs of the 21st century, a data scientist is an increasingly common requirement across firms of different sizes and from a variety of verticals. This comes from the fact that:
In the course of a data science career, a data scientist handles a number of…Continue
Added by Yoey Thamas on June 8, 2020 at 9:00pm — No Comments
How COVID-19 is Changing our Relationship with Data
An increasing proportion of businesses use scientific methods to analyze data. Yet, because key decision-makers do not believe in a data-driven method, a sizable number do not turn their data into actionable information. Instead, these individuals rely on their instincts to drive decisions. If used in lieu of data,such hunch-based mindsets often lead to inefficiencies and wasted…Continue
This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.
In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.
We are coding the algorithms using the R base package…Continue
Added by Nitin Agarwal on June 4, 2020 at 8:23pm — No Comments
Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?
A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…Continue
Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments
Data gathering to keep a competitive advantage over other businesses will drive additional profit growth, especially in the e-commerce industry. Unfortunately, sending too many requests can get you blocked or permanently banned, which inevitably leads to often halts in your web scraping operation. However, there is a way to stay block-free during scraping procedures, but let's first answer, why sites block bots in the first place.…Continue
Added by Julius Cerniauskas on May 29, 2020 at 12:51am — No Comments
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity. That is only until they realized they overlooked or underestimated the key issues with data, IT infrastructure & integration plans. In fact, most merger and acquisition plans fail miserably because of data…Continue
Added by Farah Kim on May 26, 2020 at 8:30pm — No Comments