Adaptive Analytics
Advanced Machine Learning Tools for Model Prediction and Data Analysis
Adaptive Analytics: Unleashing the Power of Advanced Machine Learning Tools
Solutions using Pattern Recognition, Machine Learning, and Artificial Intelligence
Adaptive Analytics provides information-technology consulting services and professional courses in machine learning, artificial intelligence, data science, and predictive analytics. We serve both commercial, not-for-profit, and government organizations. We focus on developing modern data analysis tools to unveil significant trends and pieces of information that can become crucial in a changing and competitive market.
Services and Techniques
Our machine learning and data science experts and business professionals analyze research, design, and implement data science solutions in any data-driven application area, including oil and gas, aerospace, scientific applications, financial domain, geospatial tasks, military, defense, and medical.
Examples of Techniques:
Deep Learning
Deep learning is now considered a revolutionary approach to machine learning and data mining to enhance the quality of the predictive models by searching for complex combinations of variables describing the problem under analysis.
Software and Consulting
We provide consulting services to train technical personnel in the use of deep learning techniques for data analysis and model prediction. Training involves using the most advanced software tools to implement deep learning architectures.
Predictive Analytics
Our times are characterized by an unprecedented flood of data streams, together with a lack of efficient tools to extract useful pieces of information from massive data repositories. At the core of modern analysis tools is the generation of "predictive models" where computers automatically sift through huge volumes of data to produce models that classify objects or events into a hierarchy of categories. This is extremely useful for many real-world applications where accurate predictions can easily lead to an increase in productivity and operational efficiency.
Software and Consulting
Our company provides consulting services to help along the whole data analysis process. We attend all steps necessary for the success of a data analytics solution, including the data collection step, data cleaning, and normalization, searching for patterns using advanced machine learning techniques and high-performance computing, and aiding in data interpretation and visualization. Our goal is to help our clients from the very definition of a problem to the delivery of an efficient and cost-effective solution.
Automatic Machine Learning
Data mining and machine learning techniques provide many algorithms for the generation of predictive models, finding patterns in data, automatically classifying objects or events into new categories, etc. Nevertheless, the successful use of these tools requires expertise in selecting the right technique for each specific task.
Software and Consulting
We provide software solutions to automatically select predictive models from a model repository made of hundreds of different approaches. Our machine learning experts provide consulting services by pointing to the strengths and weaknesses of different methods, closely interacting with the clients, and suggesting the best approach to model selection and combination.
Examples of Real-World Applications
NASA Johnson Space Center
Challenge
The goal of this project was to develop a robust system for the automatic geomorphic mapping of land surfaces using a fusion of pattern recognition tools, including machine learning, computer vision, and data compression.
Solution
The project used topographic data as an input for the automatic identification of landfroms on planet Mars using geomorphic mapping. The utilization of topography over traditionally used imagery makes automation of mapping possible. Our approach provided results that, in their appearance and content, mimic manually derived maps. Techniques from machine learning, specifically semi-supervised learning and meta-learning, were used to minimize expert intervention and maximize efficiency during map generation.
Oil and Gas Industry
Challenge
In another project, we studied the problem of stuck pipes, which accounts for several billions of dollars worth of non-productive time for oil & gas operators each year; developing a method to predict this event in real-time had become a high priority for the drilling industry. Automatically predicting stuck pipe events is now possible due to modern sensor techniques and advanced data analysis tools.
Solution
We conducted a comprehensive study that uses machine learning for the accurate prediction of stuck pipes. Examples of variables involved in the monitoring of the drilling process were the pore pressure, hook load, rate of penetration, weight on bit, standpipe pressure, etc. Our experiments considered time-based data with fifteen minutes, thirty minutes, and one-hour warning windows. We generated user interfaces that provided information to gas & oil operators regarding the possibility of a stuck pipe.
Courses
We provide professional courses in many areas of artificial intelligence, machine learning, data mining, and data science. Our schedule is flexible and adapts to the client’s needs. Courses combine conceptual and practical sessions to ensure participants are ready to use modern data analysis technologies in realistic scenarios.
Introduction to Machine Learning
Objectives
The goal is to ensure a good understanding of basic concepts in machine learning and data analytics to do both supervised and unsupervised learning, in addition to all steps involved in data science projects (data preparation, cleansing, and interpretation).
Topics
Decision trees, support vector machines, neural networks, probabilistic learning, ensemble learning (random forests, boosting), and clustering.
Introduction to Artificial Intelligence
Advanced Machine Learning
Objectives
The goal is to provide a comprehensive study of multiple techniques in artificial intelligence to build software systems that display intelligent behavior. The central idea is to create rational agents that can solve complex tasks in real applications.
Topics
Search techniques, genetic algorithms, logic, reasoning, planning, reinforcement learning, maximizing utility, vision, and robotics.
Objectives
The goal is to go beyond an introductory course in machine learning to cover advanced topics that can serve to increase the efficiency and accuracy of induced models. The course assumes a good understanding of basic machine learning techniques.
Topics
Meta-learning, self-adaptive learning, transfer learning, domain adaptation, semi-supervised learning, active learning, kernel methods, and Gaussian processes.
Deep Learning
Objectives
The goal is to offer an understanding of the mechanisms behind modern deep neural network architectures. The course assumes a good background in basic machine learning.
Topics
Deep feedforward networks, convolutional networks, recurrent networks, deep reinforcement learning, autoencoders, deep generative models, and adversarial models.
Information Courses
Contact Us
We always want to hear from you at Adaptive Analytics. Contact us today to find the customized machine learning and artificial intelligence solutions that best fit your needs.
Phone: 832-660-5926
Courses are offered in real time (no pre-recorded lectures) either face-to-face or as webinars.
Each course is fourteen hours long and can be provided on two full days or four half days.
The minimum number of participants per course is four.
If interested, fill in the form below, and a representative will contact you shortly.