In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big…
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How To “Ultralearn” Data Science, Part 1
By Benthecoder, Developer, Writer, Machine Learning and AI enthusiast. Elon Musk, Bill Gates, Warren Buffet, and Mark Cuban. What is…
Continue ReadingDusting Under the Bed: Machine Learners’ Responsibility for the Future of Our Society
By Marek Rogala, CTO at AppsilonI was super happy that I had the opportunity to present at a world class…
Continue ReadingOvercoming Obstacles to Machine Learning Adoption
Download the full report. Our friends over a H2O. ai have sponsored a new Business Impact Brief from 451 Research…
Continue ReadingScalable graph machine learning: a mountain we can climb?
By Kevin Jung, Software Engineer at CSIRO Data61. Graph machine learning is still a relatively new and developing area of…
Continue ReadingThe Deep Learning Patent Land Rush
The number of “deep learning” patents is exploding. Since I’m the sole or lead co-inventor on eight of these patents,…
Continue ReadingDeepMind Unveils MuZero, a New Agent that Mastered Chess, Shogi, Atari and Go Without Knowing the Rules
Games have become one of most efficient vehicles for evaluating artificial intelligence(AI) algorithms. For decades, games have built complex competition,…
Continue ReadingAI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020
Reports indicate a 1 in 10 success rate. Not great. So AutoML will be in demand in 2020, although I…
Continue ReadingPrzemek Chojecki
Deep Learning Books you should read in 2020What are the best books on deep learning right now?Technological Books you should read in 2020We’re…
Continue ReadingQeexo AutoML Demo: Automating Machine Learning for Embedded Devices
Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does…
Continue ReadingAccuracy Fallacy: The Media’s Coverage of AI Is Bogus
Spoiler: They cant. However, in the book, “The Bestseller Code: Anatomy of the Blockbuster Novel,” the authors claim theyve “written…
Continue ReadingHow To Write Your First Pipeline in Airflow
Can your manager or co-worker reliably reproduce an experiment you ran yesterday?In addition to processes, the tools you use to…
Continue ReadingDeep Learning Tutorial Demonstrates How to Simplify Distributed Deep Learning Model Inference Using Delta Lake and Apache Spark™
On October 10th, our team hosted a live webinar—Simple Distributed Deep Learning Model Inference—with Xiangrui Meng, Software Engineer at Databricks.…
Continue ReadingTOP 10 insideBIGDATA Articles for November 2019
3. 4 Major Ways in Which Big Data is Impacting Social Media Marketing 4. The Exponential Growth of Data 5.…
Continue ReadingSupercomputers and Machine Learning: A Perfect Match
To understand High-Performance (HPC) you need to first understand supercomputers. A supercomputer is a type of HPC solution which performs…
Continue ReadingWhat Does Stochastic Mean in Machine Learning?
Last Updated on November 18, 2019The behavior and performance of many machine learning algorithms are referred to as stochastic. Stochastic…
Continue ReadingIntroduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code)
Overview Apple’s Core ML 3 is a perfect segway for developers and programmers to get into the AI ecosystem You…
Continue ReadingWant to Build Machine Learning Pipelines? A Quick Introduction using PySpark
Here’s the caveat – Spark’s OneHotEncoder does not directly encode the categorical variable. First, we need to use the String…
Continue Reading6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist
You need to get on board the PyTorch bandwagon now to harness its full potential and give your deep learning…
Continue ReadingHimani Bansal
Data Science Dream is not so far with RHow R will help you to get away from the layoff’s radar?Ditch 10 Years…
Continue ReadingA Doomed Marriage of Machine Learning and Agile
I will never forget this date. I love success stories about ML. But, let’s face the truth: most ML…
Continue ReadingHow I Got Better at Machine Learning
This means that if you know these fundamentals, it will be much easier and less time-consuming for you to learn…
Continue ReadingStop explaining black box machine learning models for high stakes decisions and use interpretable models instead
The paper is a mix of technical and philosophical arguments and comes with two main takeaways for me: firstly, a…
Continue ReadingOn the sensationalism of artificial intelligence news
We can’t know for sure. However, I’m willing to say that it is partly due to these two reasons: clicks…
Continue ReadingGoogle Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models
Mobile deep learning is becoming one of the most active areas of research in the artificial intelligence(AI) space. Designing deep…
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