7 baby steps to start with ML: 1. Start with Python 2. Learn to use Google Colab 3. Take a Pandas tutorial 4. Then a Seaborn tutorial 5. Decision Trees is a good first algorithm 6. Finish Kaggle's "Intro to Machine Learning" 7. Solve one simple problem

Cybersecurity is not a luxury, it's a necessity. With recent threats to platforms like Mpesa, eCitizen and KPLC, it's evident that our digital fortress needs reinforcement. Let's turn the tide by embedding security in our code, our culture, and our conversations. Your thoughts? #CyberSecurity #DDOS

We don't need a time machine. We just look at old code to revisit the past! #CodingHumor #DevLife #TechTalk

#Python for fun Quiz. What prints out when you run this code? A) Syntax Error B) An error has occurred C) Index Error D) None of the above #DataScience #AI #MachineLearning #IoT #PyTorch #TensorFlow #DataScientist #Programming #Coding #100DaysofCode #Dev #Developer

Computer algorithms are an outcome of programming by a human being. Unchecked, this can allow implicit bias, and other subjective criteria to initiate prejudice in AI decision-making. #safaricomhyresults

Are you liking Twitter Blue? Here are new ML models to watch out. Which one is best for you? flan t5 on @huggingface command model @CohereAI GPT-3 @OpenAI Assistant new easy way to compare multiple models from inside your Jupyter notebook: ModelLaboratory from @langchain

Unlike traditional algorithms that are mostly hand-crafted empirical rules, the VEViD algorithm emulates physical processes. In contrast to deep learning-based approaches, this technique is unique in having its roots in deterministic physics.

With mathematical modeling, a research team has now succeeded in better understanding how the optimal working state of the human brain, called criticality, is achieved. Their results mean an important step toward biologically-inspired information processing and efficient.

The future of technology looks bright. From robotics to computer vision and AI to 5G, our cities, businesses and home lives will never be the same, and we’re still at the cusp of widespread deployment.

Various ways which you can deploy Machine Learning into your application #BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Pytho #TensorFlow #React #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #DevOps #GitHub #SQL #Dev #Developer

Python programming cheat sheet #BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #React #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #DevOps #GitHub #SQL #Dev #Developer

Certain software skills are exceptionally useful for machine learning. In a previous era, it was GPU programming. Now in the era of pretrained models, it's front-end development to quickly whip up a UI to collect a fine-tuning or evaluate dataset. #BigData #DataScience #AI #IoT

This is how data science has evolved over time. @Reddit #BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #TensorFlow #Java #JavaScript #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #DevOps #GitHub #SQL #Dev #Developer

DevTools now shows inactive CSS properties. Hovering explains why the rule has no visible effect. So nice. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #TensorFlow #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #DevOps #GitHub

Automation will help organizations address the shortage of security personnel. O .. Read more at: cio.economictimes.indiatimes…

Managing data pipelines is a major issue for real-time video processing. Video processing engineers attempt to assure accuracy and minimize latency. AI solutions can assist in achieving this aim. geekforgigs.com/ai-and-ml

Natural language processing is a branch of computer science that focuses on creating, analyzing, and interpreting human language to accomplish tasks such as speech recognition, machine translation, handwritten character recognition, question answering, and information retrieval.

Machine vision is a type of AI that enables machines to comprehend and interpret pictures and videos. AI’s machine learning algorithms are generally trained on images to identify and categorize items. It has a wide range of applications in many disciplines.

Correctly labelling training data for AI models is vital to avoid serious problems, as is using sufficiently large datasets. However, manually labelling massive amounts of data is time-consuming and laborious. @AINewsletter #AI #ML #Tesla geekforgigs.com/ai-and-ml