Manually gathering information about user-generated data is time-consuming, to say the least. That’s why more organizations are turning to automatic sentiment analysis methods—but basic models don’t always cut it. In this article, Toptal Freelance Data Scientist Rudolf Eremyan gives an overview of some sentiment analysis gotchas and what can be done to address them.Continue reading →
Leveraging DeepMind’s breakthrough AI approaches takes some work, but the results are astounding. In this article, Toptal Freelance Deep Learning Engineer Neven Pičuljan guides us through the building blocks of reinforcement learning, training a neural network to play Flappy Bird using the PyTorch framework.Continue reading →
Machine learning and artificial intelligence are popular topics, vast domains with multiple paradigms to solve any given challenge.
In this article, Toptal Machine Learning Expert Adam Stelmaszczyk walks us through implementing deep Q-learning, a fundamental algorithm in the AI/ML world, with modern libraries such as TensorFlow, TensorBoard, Keras, and OpenAI Gym.Continue reading →
Non-Salesforce app developers may be overlooking a hidden gem in the AI world: Salesforce Einstein offers image recognition and text analysis for plain-vanilla apps and Salesforce apps alike. In this article, Toptal Freelance Salesforce Developer Fahad Munawar Khan shows how any any developer can leverage Einstein Vision and Einstein Language.Continue reading →
The AI revolution is transforming the consumer world. Some developers may shy away from AI, which has traditionally been a heavily technical specialty. In this article, Toptal Freelance Salesforce Developer Fahad Munawar Khan explores how accessible to developers the AI cloud has become, even for non-Salesforce apps, with Salesforce Einstein.Continue reading →