Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

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Data Science Data Scientist Machine Learning Software Engineer 52

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Pickl AI

APRIL 19, 2024

Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise. Engage in hands-on projects and join AI communities for practical experience.

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Neural Network Natural Language Processing Machine Learning Computer Vision 52

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. Python, known for its simplicity and efficiency, remains a top choice in fields such as data science, AI, and web development.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

There are various techniques of preference alignment, including proximal policy optimization (PPO), direct preference optimization (DPO), odds ratio policy optimization (ORPO), group relative policy optimization (GRPO), and other algorithms, that can be used in this process. For more details, follow the examples in our GitHub repository.

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LLM AI AI Data Scientist 79

Towards AI

MARCH 21, 2023

ML systems use the knowledge gained by being trained on large amounts of data to make predictions and decisions for new data. ML algorithms can improve their performance as more data is used for training. ML systems include natural language processing, image, and speech recognition, predictive analytics, etc.

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Pickl AI

OCTOBER 9, 2024

Summary: Small Language Models (SLMs) are transforming the AI landscape by providing efficient, cost-effective solutions for Natural Language Processing tasks. With innovations in model compression and transfer learning, SLMs are being applied across diverse sectors. What Are Small Language Models (SLMs)?

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How to Learn Machine Learning

AUGUST 15, 2024

Shows continuous learning : Regular updates to your to portfolio demonstrate your commitment to staying current in this rapidly evolving field. Opens doors to opportunities : A strong portfolio can attract job offers, freelance work, or collaborations in the machine learning community.

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Pickl AI

JULY 10, 2024

Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation. In this fast-evolving field, continuous learning and upskilling are crucial for staying relevant and competitive. Focus on Data Science tools and business intelligence.

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Heartbeat

JULY 5, 2023

It interprets user input and generates suitable responses using artificial intelligence (AI) and natural language processing (NLP). It necessitates a thorough knowledge of natural language processing (NLP) methods. In this article, you will learn how to use RL and NLP to create an entire chatbot system.

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NLP Chatbots Natural Language Processing Deep Learning 52

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

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Pickl AI

OCTOBER 28, 2024

This includes designing algorithms, building Machine Learning models, and integrating AI solutions into existing systems. The role requires a blend of skills in programming, data science, and engineering principles. Developing Solutions : Implementing AI applications that can process large datasets and deliver insights.

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Artificial Intelligence Artificial Intelligence AI Engineer Machine Learning 52

AWS Machine Learning Blog

MARCH 1, 2023

Solution overview Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. MLOps requires the integration of software development, operations, data engineering, and data science.

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Pickl AI

SEPTEMBER 26, 2024

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. This includes familiarity with programming languages such as Python, R, and relevant frameworks like TensorFlow and PyTorch.

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Pickl AI

FEBRUARY 2, 2023

The AI technology behind ReconBob is designed to continuously learn and improve, making it a more effective tool in the fight against counterfeiting. The company has also developed an AI copywriting product that leverages deep learning models and natural language processing. With Pickl.AI

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Viso.ai

MARCH 27, 2024

Machine learning (ML) and Data Science (DS) are the topics every IT sector is discussing about. This article explores Kaggle, a popular platform for learning everything related to Data Science, Computer Vision (CV), and Machine Learning. It was created to achieve data science goals in one place.

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Computer Vision Data Science Data Scientist Machine Learning 52

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

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Data Scientist Neural Network AI AI 59

Mlearning.ai

MAY 1, 2023

Examples of Transfer Learning in Real-world Applications Transfer learning has been used in many real-world applications, including: Image classification: Transfer learning has been used to improve the accuracy of image classification models by leveraging knowledge learned from pre-trained models.

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Pickl AI

JANUARY 13, 2025

The top 10 AI jobs include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Essential skills for these roles encompass programming, machine learning knowledge, data management, and soft skills like communication and problem-solving. Future Outlook The future looks promising for AI jobs in India.

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Machine Learning Robotics Data Scientist Python 52

Pickl AI

JANUARY 16, 2024

Problem-Solving Aptitude for identifying and resolving data-related challenges. Continuous Learning Commitment to staying updated on industry trends and emerging technologies. by 2030 Edge Computing Reducing latency and fostering continuous operations. What is the career outlook for Data Analysts in India?

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Data Analysis Data Scientist Data Science Machine Learning 52

Pickl AI

JULY 18, 2023

Learn Machine Learning and Deep Learning Deepen your understanding of machine learning algorithms, statistical modelling, and deep learning architectures. Explore topics such as regression, classification, clustering, neural networks, and natural language processing. Moreover, pickle.AI

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AI Architect Machine Learning AI Engineer Data Scientist 52

Pickl AI

AUGUST 28, 2023

It is fueling the decision-making process in the organisation. Information retrieval systems in NLP or Natural Language Processing is the backbone of search engines, recommendation systems and chatbots. Start Your Learning Journey with Pickl.AI Are you eager to dive into the world of Data Science and AI?

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Pickl AI

SEPTEMBER 23, 2024

Gain insights into neural networks, optimisation methods, and troubleshooting tips to excel in Deep Learning interviews and showcase your expertise. Introduction Deep Learning has revolutionised the tech landscape, driving innovations in AI-powered applications like image recognition, natural language processing, and autonomous systems.

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Deep Learning Neural Network Natural Language Processing Convolutional Neural Networks 52

Pickl AI

SEPTEMBER 18, 2024

Typical Work Environments and Industries Machine Learning Engineers often work in various settings, including tech companies, financial institutions, healthcare organisations, and research institutions. Tech companies, they might focus on developing recommendation systems, fraud detection algorithms, or Natural Language Processing tools.

Machine Learning 52

Machine Learning Natural Language Processing Algorithm Software Engineer 52

ODSC - Open Data Science

DECEMBER 19, 2024

Unlike traditional CI tools that require manual input and analysis, Agentic Systems automate these processes, allowing businesses to access real-time insights without the need for continuous human oversight. This data collection is not limited to text; it can include images, videos, and audiocontent.

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Pickl AI

NOVEMBER 28, 2024

Understanding various Machine Learning algorithms is crucial for effective problem-solving. Continuous learning is essential to keep pace with advancements in Machine Learning technologies. They automatically learn spatial hierarchies of features, making them ideal for image classification and object detection tasks.

Machine Learning 52

Machine Learning Neural Network ML Engineer Algorithm 52

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

Data Scientist 52

Data Scientist AI AI Neural Network 52

Pickl AI

OCTOBER 20, 2024

Diverse career paths : AI spans various fields, including robotics, Natural Language Processing , computer vision, and automation. These networks mimic the architecture of the human brain, allowing AI systems to tackle tasks like image recognition and natural language processing.

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Pickl AI

DECEMBER 4, 2023

First, I will answer the fundamental question ‘What is Data Intelligence?’. What is Data Intelligence in Data Science? Wondering what is Data Intelligence in Data Science? In simple terms, Data Intelligence is like having a super-smart assistant for big companies. So, let’s get started.

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Data Analysis Data Quality Artificial Intelligence Artificial Intelligence 52

Pickl AI

SEPTEMBER 30, 2024

Businesses can also use ML to refine their strategies by continuously learning from new data, allowing them to adapt quickly to changing market conditions. Automation of Repetitive Tasks and Processes ML significantly reduces the burden of repetitive tasks by automating processes that traditionally require manual intervention.

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Machine Learning ML Algorithm Automation 52

Unite.AI

FEBRUARY 20, 2025

Those functions arose from the specialized expertise required for humans to use and interact with computers programming, data engineering, computer architecture, network administration, information security, etc. As a result, rank and file employees are inventing brilliant (and sometimes dangerous) ways to use these technologies.

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Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Viso.ai

DECEMBER 21, 2023

Cassie Kozyrkov: A Top Voice in Data Science and Analytics Cassie Kozyrkov makes for one of the AI influencers of this decade. In recognition by LinkedIn, Kozyrkov received the #1 Top Voice in Data Science and Analytics in 2019. She began her career in North Carolina at NC State and Duke Universities.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Pickl AI

OCTOBER 27, 2024

Summary: Choosing the right Data Science program is essential for career success. This guide covers key factors such as curriculum evaluation, learning formats, networking, mentorship opportunities, and cost considerations to help you make an informed choice. Average salary for Data Scientists is around ₹13,00,000 annually.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

Pickl AI

DECEMBER 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge.

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Data Science Data Scientist Machine Learning Algorithm 52