Machine Learning introduction | Mario Gintili
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Machine learning involves using algorithms to find patterns in data to make predictions or decisions without being explicitly programmed. The document discusses that machine learning uses artificial intelligence, statistical analysis, and programming to implement algorithms using open source software projects. It then provides examples of machine learning applications like cancer prediction, tuning trading algorithms, content tailoring, and dynamically generating content for platforms.
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![In the wild
- Cancer prediction & prognosis[1]
?
- Tuning trading algorithms ?
- Content tailoring
[1] http://www.sciencedirect.com/science/article/pii/S2001037014000464](https://image.slidesharecdn.com/machine-learning-mario-gintili-160630132810/85/Machine-Learning-introduction-Mario-Gintili-6-320.jpg)
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Biophilic design is emerging as a key approach to enhancing well-being by integrating natural elements into residential architecture. In Crete, where the landscape is rich with breathtaking sea views, lush olive groves, and dramatic mountains, biophilic design principles can be seamlessly incorporated to create healthier, more harmonious living environments.
Soil Properties and Methods of Determination
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This PPT covers the index and engineering properties of soil. It includes details on index properties, along with their methods of determination. Various important terms related to soil behavior are explained in detail. The presentation also outlines the experimental procedures for determining soil properties such as water content, specific gravity, plastic limit, and liquid limit, along with the necessary calculations and graph plotting. Additionally, it provides insights to understand the importance of these properties in geotechnical engineering applications.Practice Head Torpedo - Neometrix Defence.pptx
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About
Practice Head is assembled with Practice Torpedo intended for carrying out exercise firings. It is assembled with Homing Head in the forward section and oxygen flask in the rear section. Practice Head imparts positive buoyancy to the Torpedo at the end of run. The Practice Head is divided into two compartments viz. Ballast Compartment (Houses Light Device, Depth & Roll Recorder, Signal Flare Ejector, Discharge Valve, Stop Cock, Water discharge Valve, Bellow reducing Valve, Release Mechanism, Recess, Bypass Valve, Pressure Equalizer, Float, Sinking Plug etc.) which provides positive buoyancy at the end of run by discharging water (140 ltrs.) filled in the compartment and Instrument compartment (dry), houses (safety & recovery unit and its battery, combined homing and influence exploder equipment, noise maker, bollards & safety valve etc.) The recess in Ballast compartment houses the float which gets inflated at the end of run to provide floatation to the surfaced Torpedo. Several hand holes/recesses are provided on the casing/shell of Practice Head for assembly of the following components:-
a) Signal Flare Ejector Assembly
b) Depth and Roll Recorder Assembly
c) Light Device
d) Pressure equalizer
e) Drain/Discharge Valve assembly
f) Bollard Assembly
g) Holding for Floater/Balloon Assembly
h) Sinking Valve
i) Safety Valve
j) Inspection hand hole
Technical Details:
SrNo Items Specifications
1 Aluminum Alloy (AlMg5)
Casing Body Material: AlMg5
? Larger Outer Diameter of the Casing: 532.4 MM
? Smaller Outer Diameter of the Casing: 503.05 MM
? Total Length: 1204.20 MM
? Thickness: 6-8 mm
? Structural Details of Casing: The casing is of uniform outer dia for a certain distance from rear side and tapered from a definite distance to the front side. (Refer T-DAP-A1828-GADWG-PH- REV 00)
? Slope of the Tapered Portion: 1/8
? Mass of Casing (Without components mounting, but including the ribs and collars on the body): 58.5 kg
? Maximum External Test Pressure: 12 kgf/cm2
? Maximum Internal Test Pressure:-
i. For Ballast Compartment: 2 kgf/cm2
ii. For Instrument Compartment: 1 kgf/cm2
? Innerspace of casing assembly have 2 compartments:-
i. Ballast Compartment and
ii. Instrument Compartment
? Cut outs/ recesses shall be provided for the assembly of following components.
a) Signal Flare Ejector Assembly
b) Depth and Roll Recorder Assembly
c) Light Device
d) Pressure Equalizer
e) Drain/ discharge valve assembly
2 Front Side Collar Material: AlMg5
? Maximum Outer Diameter: 500 MM
? Pitch Circle Diameter: 468 MM
? All Dimensions as per drawing T-DAP-A1828-MDWG-C&R-REV-00
Application:
In a torpedo, the ballast components and instrument compartment play crucial roles in maintaining stability, control, and overall operational effectiveness. The ballast system primarily manages buoyancy and trim, ensuring that the torpedo maintains a stable trajectory underwater.ESIT135 Problem Solving Using Python Notes of Unit-1 and Unit-2
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ESIT135 Problem Solving Using Python Notes of Unit-1 and Unit-2INVESTIGATION OF PUEA IN COGNITIVE RADIO NETWORKS USING ENERGY DETECTION IN D...
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Primary User Emulation Attack (PUEA) is one of the major threats to the spectrum sensing in cognitive
radio networks. This paper studies the PUEA using energy detection that is based on the energy of the
received signal. It discusses the impact of increasing the number of attackers on the performance of
secondary user. Moreover, studying how the malicious user can emulate the Primary User (PU) signal is
made. This is the first analytical method to study PUEA under a different number of attackers. The
detection of the PUEA increases with increasing the number of attackers and decreases when changing the
channel from lognormal to Rayleigh fading.Common Network Architecture:X.25 Networks, Ethernet (Standard and Fast): fram...
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X.25 Networks, Ethernet (Standard and Fast): frame format and specifications, Wireless LAN¡¯s ¨C 802.11x, 802.3 Bluetooth etc.
Renewable-Energy-Powering-Mozambiques-Economic-Growth.pptx
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Mozambique, a country with vast natural resources and immense potential, nevertheless faces several economic challenges, including high unemployment, limited access to energy, and an unstable power supply. Underdeveloped infrastructure has slowed the growth of industry and hampered people¡¯s entrepreneurial ambitions, leaving many regions in the dark¡ªliterally and figuratively.
https://www.rofinolicuco.net/blog/how-renewable-energy-can-help-mozambique-grow-its-economy
Machine Vision lecture notes for Unit 3.ppt
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This is the document related to machine vision subject for final year mechatronics students.
AI-Powered Power Converter Design Workflow.pdf
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Blending human expertise with AI-driven optimization for efficient power converter design.Cloud Cost Optimization for GCP, AWS, Azure
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Reduce Cloud Waste across AWS, GCP, Azure and Optimize Cloud Cost with a structured approach and improve your bottomline or profitability. Decide whether you want to outsource or manage it in house. Machine Learning introduction | Mario Gintili
- 1. About Machine Learning ?? Mario Gintili
- 3. What? 40% 40% 20% Arti?cial Intelligence Programming Statistical Analysis
- 4. How? Implementations - The computing ¡°muscle¡± required to do ML became available for commercial use? - Algorithms - aka the though bit - became publicly accessible through OSS projects? - The applications are endless - ML has a place in most businesses nowadays
- 5. How? Applications This is just a over simpli?ed subset of what¡¯s actually happening. Done exclusively for the purposes of this presentation? ? Age Gender Height(m) Body fat % 20 Male 1.79 19 34 Female 1.67 29 Features Predictions
- 6. In the wild - Cancer prediction & prognosis[1] ? - Tuning trading algorithms ? - Content tailoring [1] http://www.sciencedirect.com/science/article/pii/S2001037014000464
- 7. In the wild - Content based platforms Can be dynamically fabricated by classifying content