Category Archives: Data Science News

So, are you confused by the title? Of course I got an interview for amazon ML Engineer position and I have failed because of my mistakes. I want to share my experience with you, so that you don’t make mistakes I have made. I have given interview to amazon for ML Engineer position in January 2021.Continue reading “How to land an Amazon ML Engineer Interview and mistakes to avoid”

Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threatsContinue reading “Machine learning adversarial attacks are a ticking time bomb”

Go from graph theory to path optimization. Originally from KDnuggets https://ift.tt/3pvaOa0 source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-is-graph-theory-and-why-should-you-care

The rise in machine learning project implementation is coming, as is the the number of failures, due to several implementation and maintenance challenges. The first step of closing this gap lies in understanding the reasons for the failure. Originally from KDnuggets https://ift.tt/2KZSRRW source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-5-reasons-why-machine-learning-projects-fail

Although corporate spending on artificial intelligence topped $50 billion last year, just 11% of companies that enhanced their workflows with AI have already seen a significant return on their investments. In this article, we’ll investigate business, technological, and ethical issues haunting AI projects — and provide several tips to seamlessly integrate Artificial Intelligence into your company’s DigitalContinue reading “Top 5 AI implementation challenges and how your company could overcome them”

Most people often get confused with these terms since they are all interrelated. However, let me give my best shot and explain it with the simplest definition. Picture this, artificial intelligence is the father of machine learning, and natural language processing, whereas deep learning is a subfield of machine learning. AI Tree Artificial Intelligence (AI)Continue reading “Difference between AI Machine Learning NLP and Deep Learning.”

How to augment machine intelligence and what the future will look like for humans in terms of jobs. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/skills-and-traits-that-will-help-you-outperform-any-ai-6f9bdb091bd1?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/skills-and-traits-that-will-help-you-outperform-any-ai

Extracting immediate predictions from machine learning algorithms on the spot based on brand-new data can offer a next level of interaction and potential value to its consumers. The infrastructure and tech stack required to implement such real-time systems is also next level, and many organizations — especially in the US — seem to be resisting.Continue reading “Machine learning is going real-time”

In this tutorial we’ll cover how to use the Lambda layer in Keras to build, save, and load models which perform custom operations on your data. Originally from KDnuggets https://ift.tt/2Yjvnds source https://365datascience.weebly.com/the-best-data-science-blog-2020/working-with-the-lambda-layer-in-keras

Here’s a step-by-step guide to starting your career in data science. Originally from KDnuggets https://ift.tt/3ojR3AF source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-get-a-job-as-a-data-scientist