There is a very high demand for AI & ML professionals who are qualified enough to do state-of-the-art research and engineering. At the same time, the supply of specialized AI talent is scarce – though the situation is gradually improving thanks to the new Master’s and Ph.D. programs in data science and machine learning that have been launched all over the world in the last … [Read more...] about Beginner’s Guide To Hiring AI And Machine Learning Engineers
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ML Engineer, Data Scientist, Research Scientist: What’s the Difference?
If you have to write an artificial intelligence (AI) or machine learning (ML) job description, it can be difficult to convey precisely what kind of new employee you want to hire. Doing so requires using the right language, plus understanding what type of role is most appropriate for what you want to achieve. To guide you through the challenging process of recruiting top AI … [Read more...] about ML Engineer, Data Scientist, Research Scientist: What’s the Difference?
Top 10 Technical AI and Machine Learning Conferences in 2020
The AI & ML field is growing at a very fast rate, and as a research scientist or ML engineer, you definitely want to keep track of the latest research advances, especially in your area of interest. To stay aware of the most important research breakthroughs, you can follow our regular research summaries across the main ML research fields. For connecting with other … [Read more...] about Top 10 Technical AI and Machine Learning Conferences in 2020
Dissecting The Transformer
We saw how attention works and how it improved neural machine translation systems (see the previous blogpost), we are going to unveil the secrets behind the power of the most famous NLP models nowadays (a.k.a BERT and friends), the transformer. In this second part, we are going to dive into the details of this architecture with the aim of getting a solid … [Read more...] about Dissecting The Transformer
Decoding NLP Attention Mechanisms
Arguably more famous today than Michael Bay’s Transformers, the transformer architecture and transformer-based models have been breaking all kinds of state-of-the-art records. They are (rightfully) getting the attention of a big portion of the deep learning community and researchers in Natural Language Processing (NLP) since their introduction in 2017 by the … [Read more...] about Decoding NLP Attention Mechanisms
Document Embedding Techniques
Word embedding — the mapping of words into numerical vector spaces — has proved to be an incredibly important method for natural language processing (NLP) tasks in recent years, enabling various machine learning models that rely on vector representation as input to enjoy richer representations of text input. These representations preserve more semantic and syntactic information … [Read more...] about Document Embedding Techniques
NLP Interview Questions
Are you hiring technical AI talent for your company? Post your openings on the TOPBOTS jobs board (go to jobs board) to reach thousands of engineers, data scientists, and researchers currently looking for work. It's one thing to practice NLP and another to crack interviews. Giving an interview for NLP role is very different from a generic data science profile. In just a … [Read more...] about NLP Interview Questions
Semantic Search: Theory And Implementation
It took me a long time to realise that search is the biggest problem in NLP. Just look at Google, Amazon and Bing. These are multi-billion dollar businesses possible only due to their powerful search engines. My initial thoughts on search were centered around unsupervised ML, but I participated in Microsoft Hackathon 2018 for Bing and came to know the various ways a … [Read more...] about Semantic Search: Theory And Implementation
Top AI & ML Research Trends For 2020
The AI industry is moving so quickly that it’s often hard to follow the latest research breakthroughs and achievements. To help you stay well prepared for 2020, we have summarized the latest trends across different research areas, including natural language processing, conversational AI, computer vision, and reinforcement learning. We also suggest key research papers in … [Read more...] about Top AI & ML Research Trends For 2020
Breakthrough Research In Reinforcement Learning From 2019
Reinforcement learning (RL) continues to be less valuable for business applications than supervised learning, and even unsupervised learning. It is successfully applied only in areas where huge amounts of simulated data can be generated, like robotics and games. However, many experts recognize RL as a promising path towards Artificial General Intelligence (AGI), or true … [Read more...] about Breakthrough Research In Reinforcement Learning From 2019