Over the last year, I taught myself data science. I learned from hundreds of online resources and studied 6 - 8 hours every day. All while working for minimum wage at a day-care.
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A collection of Big Data trends to familiarize yourself with, covering IoT Networks, Artificial Intelligence, Predictive Analytics, Dark Data and more.
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The average company faces many challenges in getting started with machine learning, including a shortage of data scientists.
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Learn about ten machine learning algorithms that Everyone should know to become a data scientist. Machine learning practitioners have different personalities. While some of them are "I am an expert in X and X can train on any type of data," where X = some algorithm, others are "right tool for the right job" people.
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Machine learning has tremendous potential to transform companies, but in practice it's mostly far more mundane than robot drivers and chefs. Think of it simply as a branch of statistics, designed for a world of big data.
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Most developers have dubbed Python as the Swiss Army Knife in the data science community. It is easy to understand the reason behind it.
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With data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.
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Embarking on a journey through the lands of machine learning? Here are few important lessons like Feature Engineering, Model tuning, Overfitting, Ensembling etc. which you should keep in mind along the way.
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If we produce something capable of passing the Turing test - something capable of mimicking human responses under certain conditions to such a degree that it can be declared true artificial intelligence - what does that mean? What is sentience?
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The world around us is rapidly changing with machines becoming more intelligent. Machines learn from data that we have collected over the years and what we generate each day. Machine learning is not a new concept but was actually coined by Arthur Samuel in the year 1959
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Data analytics is becoming more vital for businesses, and data scientists are in high demand. But the emerging field is broad, and some companies say they have struggled to find job candidates whose skills fit their needs.
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There is considerable hype around data science. Websites and social media are flooded with articles on Big Data, Data Science, and Data Analytics. These fields are projected as top fields, while data scientists are considered as saviors of the world and hence are supposed to be highest paid professionals.
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Are you a hard-core enthusiast of data visualization? Or a beginner, who wants to learn and be able to create more effective visualizations? Check out our list of 35 invaluable books you must read for better visualization.
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I would never use as a data scientist, or too shallow: not giving me enough information to help me understand how to be effective with Docker quickly.
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Deep learning, artificial intelligence, and neural networks are challenging new concepts for many, but an intensive short course from ICHEC aims to plug the knowledge gap.
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Demand for data scientists is at an all-time high and will continue to be at record levels in the coming years while these professionals become more scarce.
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More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics, and statistics.
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The Tech Companies are hiring for various positions in India and abroad for Data Science, Artificial Intelligence, Machine Learning. Know the eligibility criteria, job location, and profile. Find out what all is needed to work with the biggest tech-giant in the world
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