Let’s start with the selection of the correct deep learning model.Selecting a Baseline ModelThe first thing to figure out when exploring…
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William Koehrsen
How to Write a Jupyter Notebook ExtensionMake the Jupyter Notebook your playgroundJupyter Notebook ExtensionsHow to get the most from the…
Continue ReadingLearn to code (or do anything): top down, bottom up and other approaches
A great example of top down learning applied to programming would be a situation where a new developer was given…
Continue ReadingTowards Ethical Machine Learning
We must understand this data in order to digress from these biases, rather than perpetuating them.One step to reduce biases…
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Parsing XML, Named Entity Recognition in One-ShotConditional Random Fields, Sequence Prediction…Mobile Ads Click-Through Rate (CTR) PredictionOnline Advertising, Google PPC, AdWords Campaign…Exploring…
Continue ReadingMachine learning for people who know nothing about machine learning
It does a great job of matching the data we do have, but it won’t be able to make sensible…
Continue ReadingSlava Kurilyak
Deep Learning A-Z™: Hands-On Artificial Neural Networks by Kirill Eremenko, Hadelin de Ponteves, and the SuperDataScience Team via UdemyTop Machine…
Continue ReadingMachine Learning & AI Main Developments in 2018 and Key Trends for 2019
This year we posed the question:What were the main developments in Machine Learning and Artificial Intelligence in 2018, and what…
Continue ReadingLearning Machine Learning vs Learning Data Science
If you do want one of these (often excellent) jobs, we still recommend focusing a minority of your education on…
Continue ReadingWhat exactly can you do with Python? Here are Python’s 3 main applications.
Here are Python’s 3 main applications.YK SugiBlockedUnblockFollowFollowingJun 14If you’re thinking of learning Python — or if you recently started learning it — you may…
Continue ReadingAsel Mendis
Using mlr for Machine Learning in R: A Step By Step Approach for Decision TreesHyperparameter Tuning…Data Retention: Handling Data with Many…
Continue ReadingReasons Why Marketers Should Learn to Code
In addition, learning simple functions and expressions (like DAX) will make working with tools like Excel or PowerBI vastly easier.The…
Continue ReadingHow Different are Conventional Programming and Machine Learning?
And the practical application of machine learning is where it is not even feasible to articulate a definite mathematical solution…
Continue ReadingThe Hidden Dangers in Algorithmic Decision Making
Math as a construct, along with its properties, exist as a product of human thought, which leaves it vulnerable to…
Continue ReadingAI Tales: Building Machine learning pipeline using Kubeflow and Minio
Phew…!Kubernetes provides consistent way to deploy and run your applications and Kubeflow helps you define your ML pipeline on top…
Continue ReadingHow should we define AI?
These include machine learning, data science, and deep learning.Machine learning can be said to be a subfield of AI, which…
Continue ReadingPhysics-guided Neural Networks (PGNNs)
They present two approaches for this: (1) using physics theory, they calculate additional features (feature engineering) to feed into the…
Continue ReadingTransfer Learning — part 2
Oftentimes, it is not the case and one can have just a few examples to learn from..This is few-shot learning…
Continue ReadingHow to ace cold calling with Machine Learning
However, with Machine Learning and enough data it might be possible to understand the factors behind successful calls which can…
Continue ReadingTransfer Learning — part 2: Zero/one/few-shot learning
Oftentimes, it is not the case and one can have just a few examples to learn from..This is few-shot learning…
Continue ReadingLinear Algebra explained in the context of deep learning
on UnsplashIn this article, I have used top down manner to explain linear algebra for deep learning.First providing the applications and…
Continue ReadingAchieving the Machine Learning Dream
Most artificial intelligence(AI) research these days is focused on uberly sophisticated disciplines such as reinforcement learning or generative models. However,…
Continue ReadingExplaining supervised learning to a kid (or your boss)
Explaining supervised learning to a kid (or your boss)Cassie KozyrkovBlockedUnblockFollowFollowingJun 5Now that you know what machine learning is, let’s meet the…
Continue ReadingKick Start Your Data Career! Tips From the Frontline
By Vaishali Lambe, Data ScientistThere are lots of job profiles which are in demand in the market – data analyst…
Continue ReadingA Security Overview of ML Systems
Within a few scrolls we’ll go through adversarial examples, model theft, dataset poisoning and dataset protection.Maxence PrevostBlockedUnblockFollowFollowingOct 2Optimism from mn3m.info????.They…
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