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ML News
Medium
6d
128
How to Handle Unseen Data with One-Hot Encoding in Machine Learning
- This error occurs because your test data contains categories that weren’t present in the training data.
- One-hot encoding is a method used to convert categorical variables into a format that can be provided to machine learning algorithms.
- One-Hot Encoding transforms each category of a feature into a binary column (0 or 1).
- handle_unknown=’ignore’ can be used in OneHotEncoder from scikit-learn to handle unseen categories gracefully.
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7 Likes
Medium
6d
115
Database Course Overview:- ---
- A Database is a structured collection of data.
- DBMS is a software that handles database creation, querying, and updates.
- RDBMS manages data in tabular form using relationships.
- In SQL, basic queries involve creating a table, inserting data, selecting data, updating data, and deleting data.
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TechBullion
6d
74
Image Credit: TechBullion
Innovative Approaches to Petabyte-Scale Machine Learning Infrastructure
- Cloud-native architectures have revolutionized machine learning infrastructure, providing scalability, faster processing speeds, and improved resource allocation.
- Serverless computing reduces costs and maximizes performance, processing over a million requests per second.
- Container orchestration technologies enhance ML workload distribution, ensuring robust and scalable applications.
- Innovations in data processing, such as event-driven architectures and partitioning techniques, improve real-time processing and handle data skew.
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TechBullion
6d
285
Image Credit: TechBullion
Revolutionizing Healthcare: How AI and Machine Learning are Transforming Medicine
- AI and Machine Learning are transforming healthcare by enhancing diagnosis, treatment, and patient care.
- Deep learning models improve diagnostic precision, with AI-driven radiology tools achieving 92.4% accuracy in detecting abnormalities.
- AI-powered predictive health monitoring reduces emergency incidents by 29% and improves long-term patient outcomes.
- AI-based CDSS and cloud platforms optimize treatment plans, improve data management, and expand medical services.
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Medium
6d
203
Image Credit: Medium
Medium’s April 2025 Highlights: Powerful Voices and Fresh Perspectives”
- April 2025 on Medium was filled with powerful articles and fresh perspectives.
- Cecilia Presley's work on understanding narcissism and healing stood out, discussing topics like toxic behavior and emotional recovery.
- The Day in History series brought readers touching stories on significant events, such as the assassination of Martin Luther King Jr. and the end of the show Dark Shadows.
- Other trending topics included mental health, digital detoxing, ethics of artificial intelligence, and minimalism.
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12 Likes
Medium
7d
170
Image Credit: Medium
AI in Cybersecurity: Innovation or Just Another Buzzword?
- AI in Cybersecurity: Innovation or Just Another Buzzword?
- Most cybersecurity solutions with “AI” on the label are barely using it under the hood.
- While vendors are busy selling AI dreams, attackers are actually using it.
- The potential of AI in cybersecurity is incredible, but it requires transparency, talent, and truth.
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10 Likes
Medium
7d
340
AI in real world
- AI is revolutionizing various areas including healthcare, transportation, and business.
- Despite the advantages of AI, there is a need to address concerns regarding trust and reliance on AI over human interaction.
- AI has the potential to make surgeries safer but also raises concerns about potential mistakes and accountability.
- The development of AI is expected to continue, with potential advancements in automatic cars, autonomous airplanes, and smart homes.
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20 Likes
Medium
7d
277
Image Credit: Medium
Day One of My Machine Learning Rebuild: Predicting Housing Prices with Linear Regression
- This week the author started building a portfolio of real machine learning (ML) projects to break into the industry.
- The author used the California Housing dataset from sklearn.datasets for predicting housing prices with linear regression.
- Exploratory Data Analysis (EDA) revealed features with strong correlation to house prices, such as median income.
- The author trained a linear regression model using scikit-learn, evaluated its performance, and made predictions on new or test data.
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Marktechpost
7d
315
LightPROF: A Lightweight AI Framework that Enables Small-Scale Language Models to Perform Complex Reasoning Over Knowledge Graphs (KGs) Using Structured Prompts
- LightPROF is a lightweight AI framework that enables small-scale language models to perform complex reasoning over knowledge graphs (KGs) using structured prompts.
- Current approaches to large language model (LLM) reasoning on KGs face challenges in representing KG content and requiring multiple LLM calls and substantial reasoning power.
- LightPROF introduces the RetrieveEmbed-Reason framework, which consists of retrieval, embedding, and reasoning modules to perform stable retrieval and efficient reasoning on KGs.
- LightPROF outperforms state-of-the-art models in KG question answering tasks, achieving high accuracy while reducing processing time and input token usage.
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Siliconangle
7d
381
Image Credit: Siliconangle
Google’s cloud play: integrated AI from infrastructure to apps
- Google's cloud business is expected to reach $54 billion in revenue this year, with Google Cloud Platform contributing to over half of that revenue for the first time.
- Despite advancements in technology, Google Cloud is still significantly smaller than Amazon Web Services and Microsoft's cloud businesses.
- Google has developed an AI-optimized stack covering infrastructure and application-level agents, making it a leader in enterprise agentic systems.
- The focus on hybrid and multicloud capabilities shows Google's understanding of enterprise IT's reality.
- Google aims to accelerate AI initiatives by integrating with existing data, applications, and workflows.
- Google Cloud's growth is outpacing its competitors, driven by its differentiated AI capabilities and focus on AI adoption.
- The Big Three cloud providers, including AWS, Microsoft Azure, and Google Cloud, are projected to surpass $350 billion in revenue in 2025.
- Google Cloud's IaaS and PaaS business is expected to surpass 50% of its total cloud revenues this year, showing a shift towards infrastructure and platform offerings.
- Google's improved profitability is attributed to scale efficiencies and operational discipline under CEO Thomas Kurian's leadership.
- Google's strategic investments in data centers, AI infrastructure, and networking are essential for its cloud and AI aspirations, despite short-term margin impacts.
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22 Likes
Medium
7d
170
Image Credit: Medium
Machine Learning vs Deep Learning, a simples guide
- Artificial Intelligence (AI) encompasses various fields, including image analysis, text processing, and more. The computer processes data and learns to identify patterns, make decisions, and interact with humans.
- Machine Learning (ML) is a subset of AI that uses data to analyze patterns, adjust internal parameters, and make predictions without explicit programming.
- Deep Learning (DL) is a subfield of ML that relies on deep artificial neural networks to learn complex data representations. It is used in computer vision, natural language processing, and speech recognition.
- Neural networks (NN) are structures inspired by the human brain, consisting of layers of neurons. DL uses neural networks with multiple layers.
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Medium
7d
161
Image Credit: Medium
Mathematics in Artificial Intelligence and Machine Learning:
- Linear algebra is fundamental in data processing and computational operations for models.
- Statistics and probability are used to analyze data and make probabilistic decisions, especially in supervised and unsupervised learning models.
- Calculus is applied in optimization and model training to minimize loss functions and improve prediction accuracy.
- Optimization problems are essential for tuning model parameters and enhancing prediction performance.
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Medium
7d
124
Image Credit: Medium
Fortinet Expands AI Support Across Security Platform
- Fortinet has expanded support for artificial intelligence (AI) across its core cybersecurity platform.
- FortiAI technology plays a more significant role in offering intelligent automation and proactive defense.
- The Security Fabric platform has embedded FortiAI deeply to improve efficiency, speed, and accuracy of security and networking operations.
- Fortinet has added coverage across the Fabric eco-system to enable monitoring and control of GenAI-enabled services.
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7 Likes
Medium
7d
220
Learning AI/ML at Human Speed: A 10-Month Plan for 2025
- This 10-month AI/ML learning roadmap provides a flexible and structured plan.
- Weeks 1-12 focus on completing the Google IT Automation with Python Professional Certificate.
- Weeks 13-16 cover foundational math skills required for AI.
- Weeks 17-22 involve understanding machine learning concepts and implementing basic models.
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13 Likes
Medium
7d
162
Image Credit: Medium
AI Fundamentals & Terminology for PMs
- This article provides AI fundamentals and terminology for product managers.
- The article emphasizes the importance of understanding the different ways machines learn.
- It highlights the need to focus on the user and define clear boundaries for AI models.
- The article also discusses the importance of ongoing testing and feedback for AI features.
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