Tag

Machine Learning

Designing and Building a Robo Advisor with Python

Build a Robo Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own!

The Threat of Learning Beyond the Intended Purpose

This article delves into how Machine Learning algorithms interact with data and the importance of preserving data privacy.
Read it if you’re a machine learning engineer, or a developer building around machine learning.

Going Inside Machine Learning and Deep Learning Algorithms

If you want to excel in ML and deep learning, you need to know more than how to implement the algorithms—you need to know them inside-out. This book delves into selected algorithms and teaches you how to build your own from scratch.

Differential Privacy in Action

This article introduces the concept and definition of differential privacy.

Read it if you’re a machine learning engineer, or a developer building around machine learning.

What is Causal Machine Learning and Why Should You Care?

From Causal Machine Learning by Robert Ness

Enhance machine learning with causal reasoning to get more robust and explainable outcomes. Power causal inference with machine learning to create next gen AI..There has never been a better time to get into building causal AI.

Read on for more.

From Machine Learning to Automated Machine Learning

From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu

This article covers

•   Defining and introducing the fundamental concepts of machine learning

•   Describing the motivation for and high-level concepts of automated machine learning

Learn How to Model Language as Tensors

In case you missed it, here is Chris Mattmann and Dr. Scott Penberthy’s live Twitch coding stream recap. For more, check out the book: Machine Learning with TensorFlow, Second Edition. For more live coding streams, subscribe to Manning’s Twitch channel… Continue Reading →

How to Build a Serverless “Cat Detector” System Interactively

In case you missed it, here is Peter Elger and Eoin Chanaghy’s live Twitch coding stream recap. For more, check out the book: AI as a Service. For more live coding streams, subscribe to Manning’s Twitch channel here: https://www.twitch.tv/manningpublications

Before You Model: planning and scoping

From Machine Learning Engineering in Action by Ben Wilson

Before we get into how successful planning phases for ML projects are undertaken, let’s go through a simulation of the genesis of a typical project at a company that doesn’t have an established or proven process for initiating ML work.

Fine-Tuning a Pre-Trained ResNet-50

From Transfer Learning in Action Dipanjan Sarkar and Raghav Bali

This article delves into tuning up a pre-trained ResNet-50 with one-cycle learning rate.

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