Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Writing an all-encompassing book on Python machine learning is difficult, given how expansive the field is. But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title ...

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for you.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

Baidu employs the PaddlePaddle framework internally for prediction systems, along with Python to make training models and deriving predictions a snap Many of the latest machine learning and data ...

When Bill McDermott, CEO of SAP, the world’s largest business software provider, believes the next five to 10 years will be far more disruptive than the five to 10 we just lived through, it’s time to ...

Claim your complimentary eBook (worth $39.99) before the offer expires today, January 31. The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML ...

Forbes contributors publish independent expert analyses and insights. I am a Customer Experience Futurist, Author and Keynote Speaker. A system that remembers customers’ preferences, can understand ...