YusupinAI³ | Theory, Practice, BusinessHow to Build Machine Learning Pipelines with Airflow & PapermillLearn to scale your machine learning workflows at will.5 min read·Apr 7, 2020--1--1
YusupinAI³ | Theory, Practice, BusinessAnomaly Detection Part 1: AutoencoderWhat is an anomaly?5 min read·Feb 27, 2020----
YusupinAI³ | Theory, Practice, BusinessHow to Ship Machine Learning Models into Production with TensorFlow Serving and KubernetesLearn how to ship in this 5-minute read on TensorFlow Serving6 min read·Dec 23, 2019----
YusupinAI³ | Theory, Practice, BusinessTensorFlow 1.0 vs 2.0, Part 4: TensorBoardWhy TensorBoard?5 min read·Dec 5, 2019--1--1
YusupinAI³ | Theory, Practice, BusinessTensorFlow 1.0 vs 2.0, Part 3: tf.kerastf.keras, one ring to rule them all!5 min read·Nov 22, 2019----
YusupinAI³ | Theory, Practice, BusinessTensorFlow 1.0 vs 2.0, Part 2: Eager Execution and AutoGraphIn my previous post, I covered computational graphs with TensorFlow 1.0. As we’ve learned, these graphs are stable and performant but the…5 min read·Nov 12, 2019--2--2
YusupinAI³ | Theory, Practice, BusinessTensorFlow 1.0 vs 2.0, Part 1: Computational GraphsTensorFlow, a machine learning library created by Google, is not known for being easy to use. In response, TensorFlow 2.0 addressed a lot…5 min read·Nov 4, 2019----
YusupinAI³ | Theory, Practice, BusinessDebunking Myths about Python Names and VariablesAn introduction to the anatomy and core concepts of a python execution model6 min read·Oct 22, 2019----
YusupinAI³ | Theory, Practice, BusinesswhoamiI have been developing backend applications for the last few years. After reading Hackers & Painters I was captivated by the Lisp, to this…3 min read·Sep 27, 2019----