Living with AI, Elena Daehnhardt, PHD, Machine Learning and AI blog

Logging in Python

Elena Daehnhardt · 27 Jul, 2024

In this post, I cover everything from the basics of logging to configuring logging to output messages to different destinations. I also included some examples of logging levels and how to log messages at different levels based on the severity of the issue. Read more...

Guest posts about AI and Python

Elena Daehnhardt · 26 Jul, 2024

This blog is not only about coding or AI; it is about living with AI in human society, striving for happiness and building on technological advances. You can publish your quest post about anything related to Python coding and AI. It is easy. I will explain how. Read more...

Regulation on artificial intelligence has already been published

Cláudia Lima da Costa · 14 Jul, 2024

The AI Regulation has already been published, and it will imply compliance with several obligations, such as transparency and human oversight, when the AI System is deemed high-risk. It is important to remain updated and understand how this regulation will be applied. Read more...

Git Remotes

Elena Daehnhardt · 24 Jun, 2024

This post is about managing remote repositories in Git. We explore tasks such as adding, renaming, removing remotes, and updating remote URLs. We also practice fetching, pulling, and pushing changes to and from remote repositories. Read more...

Narrow AI, General AI, Superintelligence, and The Real Intelligence

Elena Daehnhardt · 21 Jun, 2024

I discuss the main AI types in this post. I share my understanding of the possibility of general intelligence in the future. Read more...

ARC-AGI benchmark and a hefty prize

Elena Daehnhardt · 15 Jun, 2024

I am sharing information about the recent Kaggle competition launch, which focuses on advancing general intelligence. Read more...

Sending Emails with Python and receiving your messages

Elena Daehnhardt · 29 May, 2024

In this post, I will describe two main methods for sending emails using Google and Python. You won't need to use third-party applications. I use some of these code blocks to send my subscription emails. I will also share my setup for effortlessly getting your emails on this GitHub static website. Read more...

Can AI hallucinate?

Elena Daehnhardt · 23 May, 2024

AI hallucinations are a critical phenomenon in AI, referring to instances where AI systems generate inaccurate or nonsensical information. This post explores the main causes of AI hallucinations, their implications, possible benefits, and existing solutions. Read more...

Recommender Systems

Elena Daehnhardt · 8 May, 2024

Recommendation systems are algorithms that suggest relevant items to users. Depending on the application, these items could be movies, songs, products, or anything else. In this post, we explore the basics of collaborative and content-based filtering and code them in Python. Read more...

To cite or perish

Elena Daehnhardt · 4 May, 2024

Proper citation is a must to maintain academic and ethical integrity. It is a valuable skill that promotes respect for other people, creates a chain of arguments paramount in research and science, and protects one's life efforts in the future. Herein, I write my approach to citation. This might be useful for my student readers. Read more...

Go with the flow

Elena Daehnhardt · 2 May, 2024

I recently underwent a major operation due to an accident, which required me to put all my energy into rehabilitation and training. I pushed myself harder than ever before and worked tirelessly towards my recovery. It was a challenging experience, shared in this post. Read more...

Robots and True Love

Elena Daehnhardt · 10 Apr, 2024

In this post, I write about robots and their creation challenges in real-life tasks, research areas, safety and ethical considerations, and future aspirations. I also briefly refer to a few starting points for creating robots with Raspberry Pi and Python. Read more...

Virtual Presenters (AI Avatars in-depth)

Elena Daehnhardt · 31 Mar, 2024

AI avatars are computer-generated representations of humans, increasingly used in many applications such as education, marketing and entertainment. Synthesia and similar AI tools create impressive avatars. In this post, I write about my favorite AI applications for creating avatars, and also create my avatars with a simple Python script. Read more...

Super-girls don't cry in face-swaps

Elena Daehnhardt · 18 Mar, 2024

This post covers simple ways to create face swaps, including coding and AI tools such as InsightFace. It also includes links to relevant research papers and GitHub repositories. We will also do easy Python coding for face detection and face swaps. Read more...

Podcast: How can we build trust and safety around AI?

Elena Daehnhardt · 17 Mar, 2024

Lawyer Cláudia Lima Costa is an expert in Artificial Intelligence and has created an amazing podcast that raises pertinent questions about trust and safety in AI systems. I was fortunate enough to be invited to a relaxed discussion where I shared my views on various topics related to AI, such as AI evolution, AI applications, data sources for training models, copyright, data protection, privacy-preserving techniques, and achieving reliable, explainable, safe, and helpful AI. Read more...

Explainable AI is possible

Elena Daehnhardt · 21 Feb, 2024

The complexity of AI, particularly deep learning models, has led to the "black box" criticism, highlighting the lack of understanding about how deep learning models arrive at their decisions. While there's truth to this concern, having a nuanced view is important. In this post, I share my view on AI explainability, that it is complex, however possible. Read more...

OpenAI's Model Show-off

Elena Daehnhardt · 19 Feb, 2024

OpenAI's GPT models are highly sophisticated machine learning models that are used in various fields such as natural language processing, coding assistance, and content creation. OpenAI's newest video-generating model, Sora, sets a new benchmark in video generation technology, which I quickly explore in this post. Read more...

In-love with the chatbot

Elena Daehnhardt · 13 Feb, 2024

In the age of artificial intelligence, where chatbots are becoming increasingly sophisticated, the concept of falling in love with a chatbot is no longer a far-fetched idea. While some may question the possibility of a genuine emotional connection with a machine, there are individuals who have developed strong emotional attachments to these digital companions. Read more...

What is Docker?

Elena Daehnhardt · 11 Feb, 2024

Docker lets you quickly deploy microservices, cloud-native architectures, or web apps. In this post, we will use Docker to create a reliable environment for Flask applications that efficiently manages dependencies and deployment intricacies. Read more...

chatGPT and Friends

Elena Daehnhardt · 28 Jan, 2024

ChatGPT is a powerful language model that has revolutionised the way we interact with technology. This post explores ChatGPT and its alternatives, delving into their capabilities, applications, and ethical considerations. Read more...

AI Synthesised Voices

Elena Daehnhardt · 9 Jan, 2024

In this post, I discuss voice synthesis and cloning, and mention fantastic AI tools and APIs for creating high-quality human-like voices from text or for automatic voice dubbing. Read more...

Here is how I created my blog

Elena Daehnhardt · 6 Jan, 2024

Discover the secrets behind creating a successful website/blog with my tried and tested method. Learn how I created my blog and start building your online presence today. Read more...

✨ Merry Christmas and Happy New Year with AI! 🎆🎇

Elena Daehnhardt · 23 Dec, 2023

Merry Christmas and a Very Happy New Year! I wish you much health, happiness and love in 2024. I am also sharing a few AI apps to celebrate the new year. All the best! Read more...

🎉✨ Cheers to new beginnings 🎊✨

Elena Daehnhardt · 12 Dec, 2023

This year, this website changed its design and became responsive and dark-mode friendly; we have added more than 30 content-rich posts on coding and AI and tested fantastic AI apps. With heartfelt thanks for your unwavering support, we wish our friends and readers a 2024 filled with health, joy, love, and boundless possibilities. Read more...

Joking Flask App

Elena Daehnhardt · 10 Dec, 2023

In this post, I describe the process of building web applications using the Flask framework; we will create a website showing a random joke from a text file. We will learn about Jinja2 templates, static files, routing, and running Flask applications. Read more...

Restoring deleted files in Git

Elena Daehnhardt · 5 Dec, 2023

Recently, I had a glitch, and many images were deleted from my Git repository. I am fixing it now. See how I do it here. Read more...

Living with AI in Pursuit of Happiness

Elena Daehnhardt · 29 Nov, 2023

This blog is not about coding or AI; it is about living with AI in human society, striving for happiness and building on technological advances. Read more...

Blog Writing with AI in MindStudio

Elena Daehnhardt · 29 Nov, 2023

BlogGenie created a draft of this post at YouAI (MindStudio) and aims to demonstrate how AI writing assistants can streamline the blog generation process. It focuses specifically on leveraging YouAI for overall framing and BlogGenie for on-page SEO best practices. This allows for creating initial drafts in seconds rather than hours. You still have to edit and correct an outline to finalise your post. Read more...

Creating Websites with AI on Mixo.io

Elena Daehnhardt · 23 Nov, 2023

Have you ever wished for a website that writes itself? This dream is now a reality thanks to the advancement in Artificial Intelligence (AI). With Mixo.io, you can create stunning websites using AI technology--in minutes! In this blog post, we will explore website creation with Mixo.io. Read more...

Cool Wallpaper with QR code for iPhone

Elena Daehnhardt · 17 Nov, 2023

When my iPhone is locked, I can share my website address with a QR code. How to use reportlab and Python to generate a QR code for the iPhone wallpaper? Read more...

Bias-Variance Challenge

Elena Daehnhardt · 10 Nov, 2023

In machine learning, we usually start from a simple baseline model and progressively adjust its complexity until we reach that spot with the best model performance. How can we do this? Let's detail the most essential machine learning concepts and the bias-variance challenge. Read more...

Travelling, just sent my e-mails

Elena Daehnhardt · 7 Nov, 2023

I am on my way. You have received my email if you subscribed :) Read more...

Decision Tree versus Random Forest, and Hyperparameter Optimisation

Elena Daehnhardt · 6 Nov, 2023

Decision trees, with their elegant simplicity and transparency, stand in stark contrast to the robust predictive power of Random Forest, an ensemble of trees. In this post, we compare the key distinctions, advantages, and trade-offs between these two approaches. We will use Scikit-Learn for training and testing both models and also perform hyperparameter optimisation to find both model parameters for improved performance. Read more...

Machine-Learning Process

Elena Daehnhardt · 30 Oct, 2023

The machine learning process involves a series of steps and activities designed to develop and deploy machine learning models to solve specific problems or make predictions. To simplify, we create programs that take in data and produce desired results in machine learning. There are several stages in the machine-learning process that we briefly describe in this post. Read more...

The water genie told me a story

Elena Daehnhardt · 11 Oct, 2023

I am back home. I have had nine flights in the last month and feel exhausted. I was delighted to see my family and had a few things to do. So happy that it all went well. Come again later and plunge into the whole sea of machine learning travel. It will be technical. We will start with a droplet and will come with more later. Read more...

Two years of Elena's AI Blog

Elena Daehnhardt · 20 Sep, 2023

Elena, a passionate AI blogger with a background in engineering and consultancy, brings her expertise and a mission to demystify machine learning for her readers. Read more...

Why AI will never void humanity?

Elena Daehnhardt · 14 Sep, 2023

Why AI will never void humanity? What AI wants badly? I was thinking about these questions while travelling. I will share my initial thoughts with you, my dear reader. Read more...

Generate Music with AI

Elena Daehnhardt · 24 Aug, 2023

In this post, we will get into music generation with AI. We will briefly explore existing AI applications generating audio. We will explore transformer usage while coding music generation with HuggingFace transformers in Python. Read more...

A Warm August and Vacation

Elena Daehnhardt · 19 Aug, 2023

In this post, I write about what's happening in my life. August 2023 is quite warm, and I have decided to have a short vacation, which is much needed since I am preparing a surprise for you, my dear reader. Read more...

AI-Free Website Design

Elena Daehnhardt · 8 Aug, 2023

In this post, I write about my efforts in creating CSS and HTML pages for my website with chatGPT and why I ended up doing it myself while learning from the bot, Google Search, CodePen and w3schools. Read more...

Preserve your local changes on Git Pull

Elena Daehnhardt · 2 Aug, 2023

When we get the Git error on pull - your local changes to the following files would be overwritten by merge - it means that you have some uncommitted changes in the working directory. Git cannot perform the merge operation because those changes would be lost or overwritten during the merge process. Read some good solutions to resolve this error while keeping local changes. Read more...

Leveraging Git Tags

Elena Daehnhardt · 21 Jul, 2023

Git tags are useful for marking specific points in a repository's history, such as release points or important milestones. They provide a way to easily reference and access specific versions of your codebase. Let's dive deeper into the details of working with Git tags. Read more...

GPT Implications for Coding

Elena Daehnhardt · 25 Jun, 2023

The AI evolution has implications for programming and programmer jobs. GPT usage allows for quicker product releases and a focus on user requirements. However, low-coding jobs could be delegated to AI, new skills for AI-assisted programming be required or access to sophisticated models only available to some. The new coding age is upon us. In this blog post, I highlight the opportunities and challenges of AI-assisted code generation and share my experiences using chatGPT. Read more...

Moving to GA4

Elena Daehnhardt · 24 Jun, 2023

On July 1st, we are moving to GA4, which is essential to ensure that our website analytics are processed without delay due to the transition. Herein I share my GA4 setup in Google Analytics. Read more...

Mastering Midjourney Prompts for Stunning Images

Elena Daehnhardt · 17 Jun, 2023

In this post, I write about creating stunning designs in Midjourney. We create AI-generated designs for an ice cream cafe. In the end, I list all prompts and handy keywords to take away for your fantastic own creations. Read more...

Git Failed to Push Some Refs

Elena Daehnhardt · 5 Jun, 2023

I was away from my big MAC computer and did some repository updates using my laptop. When arriving back, I could not push an update from my big MAC computer. Git updates were rejected because my current branch is behind. That happens quite often when we should integrate the remote changes before pushing git updates. Herein I am sharing possible solutions in detail. Read more...

The Magic of AI Tools

Elena Daehnhardt · 30 May, 2023

In this post, I list some of my favorite AI applications for productivity and fun. Read more...

The Remarkable Evolution and Milestones of AI

Elena Daehnhardt · 23 May, 2023

In this post, I outline the AI evolution and its most prominent milestones with chatGPT and Midjourney. Read more...

Loop like a Pro with Python Iterators

Elena Daehnhardt · 18 May, 2023

This post explains the basics of Python iterators and their successful alternatives, such as list comprehension. While these alternatives use more memory, they are still useful in practice. The post also covers advanced techniques for working with iterators, including using the itertools module and creating generators with the yield keyword. By mastering iterators, readers can create elegant and efficient code and become better Python programmers. Read more...

The Token Way to GitHub Security

Elena Daehnhardt · 8 May, 2023

In this brief post I describe the setup and usage of GitHub personal access tokens. Read more...

From Dutch Golden Age to AI Art: A Journey with Vermeer and AI

Elena Daehnhardt · 18 Apr, 2023

In this post, I collaborated with ChatGPT to explore the captivating World of Dutch art and Johannes Vermeer. As an art critic and historian, ChatGPT provides fascinating insights into Vermeer's masterpieces and the historical events that influenced them. I also share my emotional experience of visiting a Vermeer art exhibition, and we'll have some fun creating AI art with Jasper.ai, DALL-E, Stable Diffusion Playground and Midjourney bot. Take advantage of my tips for refining ChatGPT's output and the prompts I used to get the best results. Join me on this adventure and discover the beauty of Dutch art and AI-art outcomes! Read more...

The SSH host key mystery

Elena Daehnhardt · 10 Apr, 2023

What do you call a developer who's afraid of the dark? A Git-in-the-middle attacker! But seriously, if you've ever seen a warning message about a changed SSH host key while pushing code changes, don't panic - it might just be a legitimate update. To fix the issue, simply delete the saved RSA key fingerprint and let the SSH client verify the new one. And remember, always keep an eye out for those pesky man-in-the-middle attackers lurking in the shadows! You can learn how to create and use SSH keys, explained so simply in this post. Read more...

The Most Useful AI-Content and Plagiarism Detection Tools

Elena Daehnhardt · 15 Mar, 2023

With the development of AI-content generators such as chatGPT, we have a new need to identify such content, and the tools of AI-content detection are currently being developed. Writing assistants and plagiarism detection tools also include AI-content detection. In this post, I talk about the most visible AI tools that help us mitigate plagiarism and motivate us to create original and well-written content. Indeed, I will start with the definition of plagiarism, why it's terrible, and move quickly into helpful tools in AI-content and plagiarism detection that are available today. Read more...

Audio Signal Processing with Python's Librosa

Elena Daehnhardt · 5 Mar, 2023

In this post, I focus on audio signal processing and working with WAV files. I apply Python's Librosa library for extracting wave features commonly used in research and application tasks such as gender prediction, music genre prediction, and voice identification. To succeed in these complex tasks, we need a clear understanding of how WAV files can be analysed, which I cover in detail with handy Python code snippets. Read more...

Machine Learning Tests using the Titanic dataset

Elena Daehnhardt · 10 Feb, 2023

In this post, we created and evaluated several machine-learning models using the Titanic Dataset. We have compared the performance of the Logistic Regression, Decision Tree and Random Forest from Python's library scikit-learn and a Neural Network created with TensorFlow. The Random Forest Performed the best! Read more...

Say Goodbye to Grammar Gaffes with Grammarly!

Elena Daehnhardt · 1 Feb, 2023

Grammarly is a writing tool that helps users improve their grammar, punctuation, and spelling. It is designed to be an effective tool for native and non-native English speakers. It can be used as a browser extension or an app and be integrated with various platforms, such as Microsoft Word and Google Docs. I like to have also my writing progress reports sent weekly to see my writing performance and areas to improve. In this post, I share my Grammarly experience and discuss the technology behind Grammarly-like tools. Read more...

Data exploration and analysis with Python Pandas

Elena Daehnhardt · 20 Jan, 2023

In Data Science, we have so many terms explaining concepts and techniques that it is easy to need clarification and get a clear understanding of all data science components and steps. In this post, I filled the gap by explaining data science's two essential components, data analysis and exploration. To clarify things, I have shown both approaches, compared them, and provided Python code using Pandas dataframe and graph drawing. Read more...

Python coding with chatGPT

Elena Daehnhardt · 2 Jan, 2023

In this post, I did some Python coding with chatGPT. We have coded a neuron, a simple neural network, and learned how to train it. I am pleased with the result. I think that chatGPT has excellent potential for CS students and all coders that want to update their skills effectively. Is it an end of the StackOverflow? We cannot see the feature. However, we still need social interaction with humans, and AI cannot substitute human communication. Read more...

Happy New Year!

Elena Daehnhardt · 1 Jan, 2023

My best wishes for 2023! I wish you happiness, health, and excellent luck in the New Year! Let your best wishes come true, and your professional goals are achieved with success! Read more...

chatGPT Wrote me a Christmas Poem

Elena Daehnhardt · 19 Dec, 2022

In this post, I shared my thoughts on chatGPT, its technology, and its possible societal implications. I also asked it to write a Christmas poem for me, which was pretty good! Read more...

SEO and Indexing my Blog

Elena Daehnhardt · 14 Nov, 2022

Today, I received an email from the Google search console team informing me about an issue with my blog pages related to a duplicate without a user-selected canonical. I was intrigued about making my blog more search engine friendly and seeing what happens after SEO. Read more...

Git Commands and a Contribution Workflow

Elena Daehnhardt · 7 Nov, 2022

I have created a list of arguably the most useful Git commands and an example contribution workflow. I have also found a great JavaScript application for learning Git branching! Read more...

Learning new things

Elena Daehnhardt · 28 Sep, 2022

Computer Science, Data Science, Machine Learning, databases, coding, data wrangling, math, statistics, linear algebra, matrix operations, and many other things. This list is broad and constantly updated with new things. How to find your path and not lose yourself along the way? Students or novice Data Scientists often approach me about where to begin. I do not know, but I am sharing my ideas in this post. Read more...

Linters and Git Pre-commit

Elena Daehnhardt · 11 Sep, 2022

It's great to focus on code development while keeping the coding style right. This could be achieved with automatic formatting checks before committing files into the code repository. In this post, I have described the pre-commit usage with git hooks and a simple setup for checking Python files. Read more...

Python classes and pigeons

Elena Daehnhardt · 1 Sep, 2022

Happy 1st of September, dear visitors. I have decided to write a letter to you. The letter concerns pigeons and Python classes, the essential OOP concepts such as inheritance, polymorphism, and encapsulation. Read more...

Reverting Commits in GitHub

Elena Daehnhardt · 26 Aug, 2022

This post is about reverting your changes in GitHub. Sometimes it's good to step back and think about something different, right? With the use of git reset, revert and rebase we can remove changes from commits or even history. Read more...

MAC OS Speed Up

Elena Daehnhardt · 7 Aug, 2022

After a while, my Mac OS computer started to work slower. I have searched for possible solutions to run my computer faster without much latency. We can upgrade our computer storage and install a more powerful processor unit to speed up Mac OS. In this blog post, I will, however, focus on a more straightforward way without any system upgrades, which are costly and take time. Read more...

TensorFlow: Romancing with TensorFlow and NLP

Elena Daehnhardt · 11 Jul, 2022

In this post we will create a simple poem generation model with Keras Sequential API. Read more...

Collaboration in GitHub

Elena Daehnhardt · 10 Jun, 2022

In this post, I have covered GitHub collaboration when working with other team members. Git branching, forking, pull requests, and issues were briefly explained. Read more...

Floating-point format and Mixed Precision in TensorFlow

Elena Daehnhardt · 19 May, 2022

When creating large Machine Learning models, we want to minimise the training time. In TensorFlow, it is possible to do mixed precision model training, which helps in significant performance improvement because it uses lower-precision operations with 16 bits (such as float16) together with single-precision operations (f.i. using float32 data type). Google TPUs and NVIDIA GPUs devices can perform operations with 16-bit datatype much faster Read more...

Coding in Portugal

Elena Daehnhardt · 5 May, 2022

I am in Portugal. I live and breathe the freshness of the Ocean. Its vivid colors and wind make me happy, and I feel like a part of something bigger, omnipresent, and eternal. The springtime is the best time to be here when you like flowers and delicate fragrances loating in the air. Read more...

TensorFlow: Evaluating the Saved Bird Species Prediction Model

Elena Daehnhardt · 2 May, 2022

In this post, I have described the process of in-depth model evaluation. I have reused the previously created EffecientNetB0 model, which is fine-tuned with the 400 Bird Species Kaggle dataset. As a result, I have found out which bird species are not well predicted. Read more...

TensorFlow: Transfer Learning (Fine-Tuning) in Image Classification

Elena Daehnhardt · 6 Apr, 2022

We used a 400 species birds dataset for building bird species predictive models based on EffeicientNetB0 from Keras. The baseline model showed already an excellent Accuracy=0.9845. However, data augmentation did not help in improving accuracy, which slightly lowered to 0.9690. Further, this model with a data augmentation layer was partially unfrozen, retrained with a lower learning rate, and reached an Accuracy=0.9850. Read more...

Anaconda Environments

Elena Daehnhardt · 5 Apr, 2022

It might be challenging to manage different projects and their requirements when we do Python coding with loads of varying package versions and intricate setups. Luckily, we have a secret tool for managing and switching between different setups or environments. Conda is a package manager allowing us to work with different environments from a command line. Please do not mix it up with the Anaconda, which is helpful in scientific computing and includes a set of packages including NumPy, Scipy, Jupiter notebooks, and Conda. Read more...

TensorFlow: Transfer Learning (Feature Extraction) in Image Classification

Elena Daehnhardt · 3 Mar, 2022

Image classification is a complex task. However, we can approach the problem while reusing state-of-the-art pre-trained models. Using previously learned patterns from other models is named "Transfer Learning." This way, we can efficiently apply well-tested models, potentially leading to excellent performance. Read more...

TensorFlow: Convolutional Neural Networks for Image Classification

Elena Daehnhardt · 19 Feb, 2022

In this post, I have demonstrated CNN usage for birds recognition using TensorFlow and Kaggle 400 birds species dataset. We observed how the model works with the original and augmented images. Read more...

TensorFlow: Multiclass Classification Model

Elena Daehnhardt · 6 Feb, 2022

In Machine Learning, the classification problem is categorising input data into different classes. For instance, we can categorise email messages into two groups, spam or not spam. In this case, we have two classes, we talk about binary classification. When we have more than two classes, we talk about multiclass classification. In this post, I am going to address the latest multiclass classification, on the example of categorising clothing items into clothing types. Read more...

Feature preprocessing

Elena Daehnhardt · 29 Jan, 2022

Machine Learning algorithms often require that data is in a specific type. For instance, we can use only numerical data. In other cases, ML algorithms would perform better or converge faster when we preprocess data before training the model. Since we do this step before training the model, we call it preprocessing. Read more...

TensorFlow: Evaluating the Regression Model

Elena Daehnhardt · 25 Jan, 2022

In this post, we have performed the evaluation of four regression models using TensorFlow. MAE and MSE error metrics were used to compare the Sequential models while finding the best neural network architecture regarding the defined hyperparameters. Read more...

TensorFlow: Regression Model

Elena Daehnhardt · 21 Jan, 2022

I have described regression modeling in TensorFlow. We have predicted a numerical value and adjusted hyperparameters to better model performance with a simple neural network. We generated a dataset, demonstrated a simple data split into training and testing sets, visualised our data and the created neural network, evaluated our model using a testing dataset. Read more...

TensorFlow: Global and Operation-level Seeds

Elena Daehnhardt · 15 Jan, 2022

In training Machine Learning models, we want to avoid any ordering biases in the data. In some cases, such as in Cross-Validation experiments, it is essential to mix data and ensure that the order of data is the same between different runs or system restarts. We can use operation-level and global seeds to achieve the reproducibility of results. Read more...

Tensors in TensorFlow

Elena Daehnhardt · 13 Jan, 2022

TensorFlow is a free OS library for machine learning created by Google Brain. Tensorflow has excellent functionality for building deep neural networks. I have chosen TensorFlow because it is pretty robust, efficient, and can be used with Python. In this post, I am going to write about how we can create tensors, shuffle them, index them, get information about tensors with simple examples. Read more...

GitHub Codespaces

Elena Daehnhardt · 5 Jan, 2022

GitHub codespaces provide a development environment running in the cloud. A codespace environment is created with the help of configuration files added to a GitHub repository. Read more...

TensorFlow on M1

Elena Daehnhardt · 5 Jan, 2022

TensorFlow is a free OS library for machine learning created by Google Brain. Tensorflow has excellent functionality for building deep neural networks. I have chosen TensorFlow because it is pretty robust, efficient, and can be used with Python. Since I like Jupyter Notebooks and Conda, they were also installed on my system. Next, I am going through simple steps to install TensorFlow and the packages above on M1 macOS Monterey. Read more...

Mining Microblogs for Culture-awareness in Web Adaptation

Elena Daehnhardt · 3 Jan, 2022

In this post, I am briefly writing up about what I did in my PhD research at Heriot-Watt University and the main idea behind the thesis. Read more...

Artificial Neural Networks

Elena Daehnhardt · 17 Dec, 2021

Artificial neural networks (ANNs) are the cornerstone of Deep Learning algorithms. The name and the architecture are adopted from the human brain's neural network. ANNs are designed to simulate human reasoning based on how neurons communicate. ANNs contain a set of artificial neurons connected. Read more...

Minimalism in Coding and Design

Elena Daehnhardt · 16 Dec, 2021

Nowadays, technology advances so rapidly that I sometimes feel like running after leaving the train. More technical knowledge is needed every day. Yesterday, it was GIT and workflows, and today it is Docker. What is next? Read more...

Deep Learning with DataCamp and Twitter

Elena Daehnhardt · 13 Dec, 2021

While having some machine learning experience of working with Scikit Learn, I was always interested in Deep Learning. The plan is to learn basic concepts and apply algorithms to a real-life situation, which I have always liked. Read more...

GIT in 10 minutes

Elena Daehnhardt · 4 Dec, 2021

Version control systems are handy to keep track of file versions. This is useful for tracking your code, scripts and text information. Currently, GIT is one of the best open-source and cross-platform version control solutions. It enables distributed repository management; it works fast over HTTP and ssh protocols. GIT is relatively easy to use, with command-line utility or Graphical User Interface. Read more...

Are we raising from ashes?

Elena Daehnhardt · 2 Dec, 2021

The Phoenix bird is a fantastical bird known from ancient Greeks mythology. Read more...

Merry Xmas and a Very Happy New Year!

Elena Daehnhardt · 1 Dec, 2021

It was quite a challenging year so far. Many things happened, a rollercoaster of 2021, and we are still riding with the pandemics. But I am very grateful that my dear people are all well. This is what I wish for the following year. Read more...

Python Programming Language

Elena Daehnhardt · 28 Oct, 2021

Python is relatively easy to learn and beginner-friendly. I like Python because you can program any kind of project with it. It is open-source and free for anyone to use. Python has well-tested machine learning libraries and a very supportive community. I will overview herein a basic syntax of the Python programming language. This will be useful for beginners or people who move quickly from another programming language to Python. Read more...

Hi! I'm Elena. Welcome to my blog.

Elena Daehnhardt · 20 Oct, 2021

I'm a machine learning engineer and researcher. I have been fascinated by computer science, Artificial Intelligence, technology, and philosophical questions from an early age. Read more...

Tools and Data to Experiment with Machine Learning

Elena Daehnhardt · 19 Oct, 2021

Python open-source library scikit-learn provides a comprehensive selection of machine learning techniques (regression, classification, clustering), feature selection, metrics, preprocessing, and other functionality. At this moment, Scikit-learn, is lacking deep learning functionality; however, we can use TensorFlow with the Scikit Flow wrapper for creating neural networks using the Scikit-learn approach. Read more...

Deep Learning vs Machine Learning

Elena Daehnhardt · 16 Oct, 2021

Artificial Intelligence (AI) is a field of computer science. AI provides methods and algorithms to mimic human intelligence, reasoning, and decision-making and provide insights, which businesses could use in research or industry to build new exciting and innovative products or services. Machine Learning (ML) is a subset of AI with algorithms that learn from data. In this post, we sort out the differences between AI and ML. Read more...