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5 Awesome Data Science Subscriptions to Keep You Informed

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Artificial Intelligence is hitting every industry sector today and it is changing the way we think about the future of work. It is the best time to improve your AI skills and start adopting this technology. Whether you are just a beginner or looking to implement AI techniques in your current job, there is a lot of information available which you need to digest. Subscribing to AI newsletters is one of the best ways to do this. You gain a variety of standpoints. This way you stay connected with the content that improves your knowledge on AI. Here we are discussing some of the newsletter subscriptions which are a must for an AI enthusiast: The Algorithm Distributed by the MIT Technology Review, The Algorithm is read by almost all AI Experts. It hits your inbox each weekday, offering brief and straightforward updates on new AI stories. What is more important is that its “Deeper” section focuses on the research behind rising AI innovations. If you want to demonstrate your intervie...

Top 5 Deep Learning Trends That Will Dominate 2019

Leading studies predict that the Deep Learning market is likely to exceed $20 billion by 2024, growing at a compounded annual growth rate of 4 per cent. Deep learning algorithms are more likely to become more sophisticated with passing time thereby possessing the ability to take huge amount of data generated from audio, video and images and process them to make business-friendly predictions. Deep Learning will be strongly associated with modern online services where organizations will use their predictive capabilities to provide more customised offerings to their audiences around the world. In the following paragraphs we look at top 5 Deep Learning trends that are most likely to dominate the coming year. Training dataset bias and its impact on AI It is natural for human bias to creep into a majority of decision making models. The difference and variability of algorithms dealing with AI is significantly impacted by the inputs that they are fed. Data scientists are of the opin...