DataTau News for Data ScienceJustML — Automatic machine learning for data scientists]]>Event processing with logstash course]]>Data Augmentation | How to use Deep Learning when you have Limited Data]]>Choosing Between Modern Data Warehouses]]>Multi-armed bandits for the Win]]>Text Classification using machine learning]]>What your organisation needs to know about GDPR]]>Little Book of LDA]]>5 ways to look at Machine learning]]>Training ImageNet on a TPU in 12.5 hours with GKE and RiseML]]>Apple AI Interview Questions - Acing the AI Interview]]>Notes from the AI frontier: Applications and value of deep learning]]>Top 9 Data Science Use Cases in Banking]]>Featuretools: automated feature engineering for pythonhttps://www.featuretools.com]]>The Junior Data Scientist's First Month course (a 6-week data science challenge)]]>Exploring Session-Level Google Analytics Data with MapD - Part 2]]>Python: For Loop In a For Loop (DS tutorial for beginners)]]>March&April Data Digest from Datalore team]]>Python & Big Data: Airflow & Jupyter Notebook with Hadoop 3, Spark & Presto]]>Matplotlib colors]]>Generate TensorFlow Tensor Full Of Random Numbers In A Given Range]]>Zomato Data Visualization - India]]>10 reasons why data scientists love Jupyter notebooks]]>How the Evolvement of Data Warehouses is Changing ETL]]>Announcing the MapD Cloud: self-service GPU-accelerated analytics]]>Finding cheap housing in San Francisco by modeling Craigslist data]]>Why so many data scientists are leaving their jobs]]>We are data points: identity on the web post-Cambridge Analytica scandal]]>Monte Carlo method in Python [Reinforcement Learning]]]>Ask Datatau: What is your favorite data science talk?]]>