Source – https://www.analyticsinsight.net/ The hype for highest paying companies for Data Scientists attracts more Aspirants The data science landscape is filled with opportunities spanning diverse industries. As new technologies are being added to the digital sphere year-on-year, the transformation is likely to continue into the coming decade. Owing to the increasing influence of technology in our daily Read More
Tag: data scientists
Source – https://www.analyticsinsight.net/ Data scientists and RPA developers should collaborate to make a perfect team. If RPA developers work with data scientists, it will facilitate more creative solutions to complex business problems; than working separately. Robotic process automation (RPA) is a cost-effective way of automating basic tasks as humans do, with the help of various hardware and software systems that can perform on Read More
Source – https://www.analyticsinsight.net/ These top 100 companies have opened their door for talented data scientists Data is the new oil for modern businesses,’ a familiar statement that is making many changes in the technology radar. Organizations of all sizes and types from diverse industries produce large volumes of data. The increasing amount of data often Read More
Source – https://aithority.com/ What Is Data Science? The terminology came into the picture when the amount of data had started expanding in the starting years of the 21st century. As the data increased, there was a newly emerged need to select only the data that is required for a specific task. The primary function of Read More
Source – https://analyticsindiamag.com/ Emerging technologies like AI, data science and machine learning are all about working with intelligent models that need good algorithms to run. For instance, logistic regression or support vector machines.To understand these algorithms and how they work, one must be adept at programming languages. Here, we discuss 11 crucial programming languages for data scientists. 1| Read More
Source: analyticsinsight.net How to add value to businesses with the help of an AI Factory? Like a physical factory creates physical products reliably at scale and speed, an artificial intelligence (AI) factory delivers AI solutions for businesses at scale and speed. An AI factory combines data, people, process, product, and platform to move beyond science experiments and deliver Read More
Source: analyticsinsight.net Data scientists need to assemble predictive analytics workflow benefits to review on processes and algorithms. Data science techniques and tools are constantly evolving and only online resources can aid data scientists to keep up the pace. Even though when traditional models like reading books and journals give the understanding of fundamental concepts that benefit data scientists on a large-scale. The Read More
Source: analyticsinsight.net What makes Python a top choice in the Data Science community? Python has become the most used programming language for data science practices. Developed by Guido van Rossum and launched in 1991, it is an interactive and object-oriented programming language similar to PERL or Ruby. Its inherent readability, simplicity, clean visual layout, less syntactic exceptions, greater string manipulation, Read More
Source: analyticsinsight.net Data scientists come in numerous flavors with various qualities that may suit various kinds of companies relying upon the sorts of issues or projects Data Scientists have consistently been around – it is only that nobody realized that the work that these individuals are doing is called data science. Data Science as a Read More
Source: news.yahoo.com The UK government has announced hundreds of public sector staff will be trained in data science this year, as it launched a new “data strategy” for Britain. Ministers and officials hope to transform the government’s use of data to improve public services and drive efficiency, as well as opening up more data to Read More
Source: zdnet.com The open-source project behind Julia, a programming language for data scientists, has revealed which languages users would shift to if they decided no longer to use Julia. Julia, a zippy programming language that has roots at MIT, has published the results of its 2020 annual user survey. The study aims to uncover the Read More
Source: zdnet.com What’s the best way to help your city thrive after a global pandemic? For Mark Gannon, director of business change and information solutions at Sheffield City Council, the answer might lie in big data. “We want to give the organisation and the city the greatest opportunity to bounce back from COVID. Part of Read More
Source: techcrunch.com It’s 2020 and the world has changed remarkably, including in how companies screen data science candidates. While many things have changed, there is one change that stands out above the rest. At The Data Incubator, we run a data science fellowship and are responsible for hundreds of data science hires each year. We have Read More
Source: techcrunch.com Data science is the name of the game these days for companies that want to improve their decision making by tapping the information they are already amassing in their apps and other systems. And today, a startup called Mode Analytics, which has built a platform incorporating machine learning, business intelligence and big data analytics Read More
Source: analyticsinsight.net Today organizations are carrying out more and more data projects that promise great opportunities to drive agility and competence. But they are facing a growing pressure to extract meaningful insights from data. Most of them realize the potential of data science to deliver business value, even some are already investing heavily in data science Read More
Source: zdnet.com When it comes to data, there has been no lack of discussion and debate about ethics in the past years, but formal standards to guide data scientists themselves are still lacking. Now industry bodies in the UK are hoping to change that, as the British Computer Society (BCS), along with the Royal Statistical Read More
Source: infoq.com Feature Store is a core part of next generation ML platforms that empowers data scientists to accelerate the delivery of ML applications. It enables the teams to track and share features with versioning enabled and serve features for model training, batch, and real-time predictions. Mike Del Balso from Tecton.ai and Geoff Sims from Atlassian recently spoke at Spark Read More
Source: datanami.com “We were disappointed, if not surprised, to see that data wrangling still takes the lion’s share of time in a typical data professional’s day,” Anaconda wrote in its report, “2020 State of Data Science: Moving From Hype Toward Maturity.” “Data preparation and cleansing takes valuable time away from real data science work and has a Read More
Source: techrepublic.com Differential privacy has become an integral way for data scientists to learn from the majority of their data while simultaneously ensuring that those results do not allow any individual’s data to be distinguished or re-identified. To help more researchers with their work, IBM released the open-source Differential Privacy Library. The library “boasts a suite Read More
Source: expresscomputer.in Data science is an industry purely driven by technology, and has gained inexplicable traction across the globe in recent times. The data science sector’s market size is expected to reach a whopping USD 140.9 billion by 2024. Businesses are looking at leveraging data to increase efficiency. Data science and analytics have flourished into Read More
Source: analyticsinsight.net Having knowledge is not enough to survive, for survival, and for assured victory, one needs to test his/her capabilities. To test wisdom and capabilities, competitions are extremely beneficial. In the case of data science, data scientists mostly work theoretically and get rare chance to experiment with real-world data themselves. With data science competitions Read More
Source: analyticsinsight.net Today, with the increasing volume of data day by day, processing and analysis of that data have become significant. This is where data scientists come into the scenario, determining the right data sets and variables and deriving actionable insights from that. Data scientists are analytical data experts and their roles can vary organization to organization Read More
Source: analyticsinsight.net Quick developments in the space of machine learning and deep learning have brought about cutting-edge algorithms. These advanced algorithms are equipped for changing companies to determine multi-fold business value. Companies have begun putting resources into data science teams to lead the digital transformation journey to be at the highest point of their game. Read More
Source: analyticsindiamag.com As a kid, the term “Scientist” always fascinated me and made me wonder about the wonderful experiments that Scientists would conduct wearing those white coats. Scientists were considered to be higher-level professionals at that time in this field. Scientists were the knowledgeable ones and had a plethora of smartness. But today, the word Read More
Source: searchbusinessanalytics.techtarget.com Whether you’re newly entering the workforce, have been recently laid off, are worried about keeping your current job or have been temporarily furloughed and have some time on your hands, there’s no better time to pick up some AI-related skills than right now. According to LinkedIn, artificial intelligence and machine learning jobs have grown 74% Read More
Source: techcrunch.com Three former Uber engineers, who helped build the company’s Michelangelo machine learning platform, left the company last year to form Tecton.ai and build an operational machine learning platform for everyone else. Today the company announced a $20 million Series A from a couple of high-profile investors. Andreessen Horowitz and Sequoia Capital co-led the round with Martin Casado, general partner Read More
Source: inventiva.co.in How many of you agree with the following Assertions? Assertion 1 – Being a Data Scientist is one of the best jobs you can have today. It has been referred to as the “sexiest job of the century” and is in great demand. Assertion 2 – Once you become a data scientist, life is going Read More
Source: analyticsindiamag.com The TensorFlow team at Google recently introduced a new tool for TensorFlow Lite (TFLite) known as Model Maker. The TFLite Model Maker simplifies the process of adapting and converting a TensorFlow Neural Network model to particular input data when deploying this model for on-device ML applications. Developed by researchers and engineers from the Google Brain Read More
Source: venturebeat.com MindsDB today announced it has raised $3 million to grow its automated machine learning platform made for data scientists and developers to quickly train and deploy models. The open source platform has been downloaded more than 250,000 times through Python pip installs or software with a graphic user interface and has been used by Read More
Source: rtinsights.com Every company aspires to be data-driven, but it takes expertise and investment over long periods of time to attain this. In an era of change and disruption, the months — or perhaps years — it takes to build and deploy data analytics solutions may be too late for a struggling company. It also Read More